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Aiming at the attitude cooperative control problem of multi-spacecraft system, the attitude estimation of the spacecraft is estimated by invariant extended Kalman filter (InEKF), and the attitude estimation of the spacecraft is made independent of the transfer matrix. Then, the multi-spacecraft special orthogonal group (SO(3)) attitude model is constructed by combining the undirected communication topology, and the attitude coordination error on SO (3) is deduced. Among them, an attitude coordination control algorithm based on the consistency theory is proposed based on the special orthogonal group SO(3). The radial basis function neural network is used to tit and compensate virtual disturbances. The proposed algorithm considers spatial disturbances to ensure that the collaborative controller is applicable to the entire attitude space. Multi-satellite attitude collaboration, tracking desired attitude, and collaboration under the constraints of actuator capabilities are realized. The system is analyzed based on LaSalle invariant set theory, proving that the system has global asymptotic stability. Finally, the effectiveness of the proposed attitude collaborative control algorithm is verified by using a six-satellite spacecraft system. [ABSTRACT FROM AUTHOR]

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Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The design of spacecraft servo mechanism plays an important role in the control of the spacecraft. The research of control algorithm and the construction of simulation platform have important practical value. This paper modelles and simulates the mechanical, electrical, hydraulic parts of the aerospace servo mechanism. The overall model of the whole servo system is established. The mechanical structure of the servo mechanism is built in ADAMS and the hydraulic module is built by AMESim. Based on HM theory, the robust controller is built with Matlab toolbox. Combined with the dynamics model of ADAMS and AMESim, as well as the Matlab controller model, the joint simulation of each module is realized. Through the joint simulation technology, the simulation of physical system is more realistic, and the experimental results are also displayed more intuitively. This simulation has a good guiding significance for the design and construction of actual spacecraft servo mechanism system. [ABSTRACT FROM AUTHOR]

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Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The integrated guidance and control (IGC) problem for hypersonic vehicles in dive phase is reviewed from the perspective of model construction and method design in this paper. Firstly, this paper summarizes model construction of IGC in dive phase. In the sequence of integration improving degree, it introduces IGC model of individual channels, coupling full state high-order IGC model, improved integrated low-order IGC model, and analyzes and summarizes the characters of hypersonic vehicles system and design models, then points out typical problems of system faced in method design. Secondly, with respect to design difficulties of IGC system in dive phase, this paper reviews design methods from views of robust control under strong uncertainties, control methods under high-order mismatched uncertainties and control methods with multiple constraints. It points out the current development and existing problems of related theories at home and abroad. Finally, the IGC for hypersonic vehicles in dive phase is forecasted.

In view of the nonlinear problem of backlash caused by the gear transmission structure in the automatic pipe pile welding machine, an improved sliding mode controller design method based on the extended state observer is proposed. Firstly, the nonlinear and time-varying backlash model is equivalent to a global linearization model, and it is proved that the upper limit of the modeling error is bounded. For the situation with nonlinear input backlash and unknown external disturbance, a sliding mode controller and an improved sliding mode controller based on extended state observer are designed, respectively. The former can track the input signal asymptotically and stably, and has strong anti-interference ability, but it has large chattering. The latter uses the extended state observer to detect the unknown disturbance and directly compensates to the controller, which not only ensures the tracking error within the expected accuracy range, but also reduces chattering. The simulation results show that compared with the traditional sliding mode controller, the improved sliding mode controller system based on the extended state observer reaches the sliding mode surface faster and chatters less. [ABSTRACT FROM AUTHOR]

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An active disturbance rejection controller (ADRC) based on equivalent sliding-mode control method was proposed to solve the stability problem of quadrotor unmanned aerial vehicle (UAV) with disturbances and uncertainties. According to the transformation of the body coordinate system and ground coordinate system, combined with Newton's second law and Newton-Euler formula, the dynamic model of UAV was constructed. An extended state observer was designed to restore the state of the system and estimate all disturbances and uncertainties of the system, in order to achieve rapid error convergence and improve estimation accuracy. Based on the ADRC, the concept of an equivalent sliding-mode controller was proposed, and the control output was divided into the equivalent control term and the switching robust control term. Combined with the non-singular terminal sliding-mode control, the singular problem was avoided. Through the Lyapunov stability theory, it is proved that the designed ADRC can achieve system asymptotic stability. Finally, the active disturbance rejection performance and robustness were verified by a numerical simulation example. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To improve the maneuverability and stability of the skid steer vehicle driven by hub motors, the advantages of torque vectoring control in vehicle dynamics were fully utilized. To solve the chattering problem in traditional sliding mode control, a direct yaw moment control method was proposed based on adaptive fuzzy sliding mode control (AFSMC). The AFSMC controller was designed to calculate the additional yaw moment for following the control target, and a fuzzy system was constructed to approximate the variable gain sign function in real time. The fuzzy adaptive law was derived through the Lyapunov method to enhance the robustness of the control strategy and suppress output control chattering. For the lower level, an optimized driving force distribution scheme based on tire load rate and weighting factors was proposed by establishing an objective function. In the proposed strategy, the nonlinear dynamic characteristics of the vehicle was fully considered. The experimental results on a real vehicle show that by the proposed control strategy, the good performance in vehicle handling and stability can be achieved with strong robustness of the control system. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The problem of intelligent robust controller design for flight vehicles with asynchronous switching is investigated based on deep reinforcement learning. The switched model of flight vehicle in full envelope is established based on Jacobian linearization according to the nonlinear dynamic model. The asynchronous switching caused by packet loss are taken into consideration and the asynchronous dynamic model of controllers and subsystems are introduced. Then the robust controller is provided. The stability of the system is analyzed, and the sufficient conditions to ensure the stability with prescribed interference suppression index are given based on average dwell time method and multiple Lyapunov functional method. The solutions of controllers are obtained by linear matrix inequality. Moreover, the obtained controller is optimized based on deep reinforcement learning, and the dynamic response performance of the system is improved while ensuring the stability and robustness. Numerical examples in the end are given to illustrate the effectiveness of the proposed method.

Pure electric vehicle two-gear dry dual clutch automatic transmission completes the shift through the control of two clutches engagement and separation. Since the friction coefficient of clutch changes with temperature， the parameter adaptive method is used to estimate the friction coefficient online in real time. According to the shifting dynamics model， a backstepping controller based on the extended state observer is designed， and the shifting process is transformed into speed tracking problem by giving the target speed of the motor and the first gear clutch disk. Simulation and hardware-in-the-loop verify that the controller can effectively ensure the shift quality of automatic transmission under the condition of external interference， and has good robustness.

To address the uneven seabed following control problem under the time delay constraint of the actuator for the autonomous underwater vehicle (AUV), a robust time-delay controller with prescribed performance guidance law is proposed in this paper, which can improve the safety of the AUV during navigation. First, the seabed following error conversion is firstly performed based on a navigational safety barrier function. Then, by integrating the time-varying line-of-sight guidance angle, the prescribed performance guidance law is designed at the kinematics level to provide reference state input for the AUV. After that, to tackle the time delay problem of actuators and reduce demand for accurate modeling, a robust time-delay dynamic controller is designed using the radial basis function (RBF) neural network. Finally, based on the Lyapunov theory, the stability of the closed-loop system is proved. The simulation results illustrate that the designed controller can achieve uneven seabed following control. Moreover, the following errors are always confined to the preset limits, which can also enhance the safety performance of the AUV when following the uneven terrain of the seabed.

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Aero Weaponry is the property of Aero Weaponry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve the problem of disturbance in grinding control system， a robotic force control end-effector is designed， and a grinding control method of robotic active compliance constant-force is proposed， based on the active disturbance rejection control and the fuzzy variable impedance control. A fuzzy variable impedance controller is adopted by the inner-loop control of the proposed method， and an active disturbance rejection grinding controller is adopted by the outer-loop control. Convergence of the tracking error to zero for the proposed method is guaranteed by the Lyapunov stability theory. The effectiveness and applicability of the proposed method are verified by the co-simulation and experiment. By comparing the proposed method and the PID controller， which is used to replace the outer-loop control， when the inner-loop control is same， the former has better ability to reduce force tracking error and position overshoot during simulation experiments. Meanwhile， using the proposed method， the control effects and the robustness of the force control system for the robotic grinding are improved， and the robotic compliant constant-force control is realized. [ABSTRACT FROM AUTHOR]

An improved robust predictive control method is proposed for a class of multicellular descriptive LPV systems with bounded state disturbances, and an output feedback controller is designed to ensure the asymptotic stability of the systems. To offset the bounded state disturbance, the controller considered the undisturbed LPV system, and based on the off-line state observer, the LMI is used to solve the minimum-maximum optimization problem in the infinite time domain of predictive control. Then the off-line state observer is used to obtain the difference between the estimated values of the disturbed LPV system and the undisturbed LPV system, and the feedback gain of the guaranteed performance is determined, so as to obtain the optimal offset that makes the disturbed LPV system asymptotically stable, which is combined with the undisturbed system control law as the optimal control law and applied to the actual system. The experimental results show that the improved robust predictive control method can obtain better control performance, and improve the stability of the system and the efficiency of solving optimization problems. Simulation experiments also verify the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

An improved robust predictive control method is proposed for a class of multicellular descriptive LPV systems with bounded state disturbances, and an output feedback controller is designed to ensure the asymptotic stability of the systems. To offset the bounded state disturbance, the controller considered the undisturbed LPV system, and based on the off-line state observer, the linear matrix inequality is used to solve the minimum-maximum optimization problem in the infinite time domain of predictive control. Then the off-line state observer is adopted to obtain the difference between the estimated values of the disturbed LPV system and the undisturbed LPV system, and the feedback gain of the guaranteed performance is determined, so as to obtain the optimal offset that makes the disturbed LPV system asymptotically stable, which is combined with the undisturbed system control law as the optimal control law and applied to the actual system. The experimental results show that the improved robust predictive control method can obtain better control performance, and improve the stability of the system and the efficiency of solving optimization problems. The simulation experiments verifies the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A nonlinear switching control method was proposed based on an improved quasilinear autoregressive with exogenous inputs (quasi-ARX) radial basis function (RBF) network model and the support vector regression (SVR) algorithm. The RBF network was chosen as the nonlinear part of the improved quasi-ARX prediction model. The proposed controller design method was divided into 3 steps: firstly, the nonlinear parameters of the model were determined with the clustering method; secondly, the linear SVR algorithm was used to solve the robustness problem of the control system; thirdly, the switching criterion function was given based on the control error, and the control sequence were determined according to the switching law. Finally, a numerical example was given to verify the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the robust control theory, aiming at the pneumatic servo elastictiy problem of flexible missile, this paper carries out the control system research. By establishing the missile rigid-elastic coupling full parameter uncertainty model, the μ-synthesis robust control system is designed based on the traditional three-loop control structure. Frequency domain analysis shows that the designed control system has strong robustness and is enough to deal with the strong uncertainty of flexible missile. Time domain simulation results show that, comparing with the classical PID control system, the μ-synthesis robust control system ensures the time-domain index, the first-order vibration amplitude of the missile body is reduced to 10%, and the attenuation time is shortened to about 0.5 s, which effectively suppresses the elastic vibration of the missile.

ObjectiveA multi-input multi-output (MIMO) robust controller is proposed to realize the trajectory tracking and yaw control of a four-DOF Ciscrea autonomous underwater vehicle (AUV) model. MethodsThe parameter uncertainty of the inertia matrix and quadratic damping action is formulated as an uncertain structure via the perturbation method, and the general system is derived by linear fraction transformation (LFT). The H-infinity synthesis method is applied to solve the MIMO robust controller for the AUV general system, and the structure singular value analysis method is used to compute the robust stability margin. To validate the robust yaw controller, AUV's three-dimensional trajectory tracking and yaw control scenarios are simulated using MATLAB. The tracking performance is compared between interference and non-interference control conditions. ResultsThe upper and lower bounds of the structure singular value are obtained for the stable robust controller.The elimination of perturbation on AUV output shows effective anti-jamming performance. ConclusionsThe proposed control method is available for solving the parameter uncertainty and nonlinearity issues of AUV models, which can provides a specific application for addressing AUV motion and attitude control problems in real ocean environments.