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431 results on '"Shi, Tingna"'

114. Improved vector selection based model predictive torque control for IPMSM.

Author

Gu, Xin, Shen, Pan, Li, Xinmin, Zhang, Guozheng, Wang, Zhiqiang, and Shi, Tingna

Abstract

The model predictive torque control (MPTC) is an effective strategy for high performance motor systems. The strategy obtains the optimal voltage vector more quickly and accurately compared with the traditional direct torque control. However, some problems of the strategy are needed to be solved, such as few active vectors, difficult cost function design, and hard duty cycle regulation and so on. An improved MPTC is put forward for these problems in this study. The number of the vector is increased by constructing virtual vectors in the improved method. The finite control set under the rotating coordinate system based on the stator flux orientation is established to select the vector and reduce the computation load. The evaluation mechanism of the selected vector is set by combined with the duty cycle method, so the weight factor of cost function in the traditional method is eliminated. And the duty cycle can play a full role in the adjustment. The prototype experiment system is built for verifying the proposed method. The results demonstrate that the proposed method has better torque and flux control performances and effectively improve the above problems in the traditional method. [ABSTRACT FROM AUTHOR]

Published
2020
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147. Improved pitch control strategy for the robust operation of wind energy conversion system in the high wind speed condition.

Author

Chen, Ziyang, Shi, Tingna, Song, Peng, Li, Chen, Cao, Yanfei, and Yan, Yan

Subjects
*WIND energy conversion systems, *WIND speed, *ROBUST control, *ELECTRIC power, *HAMILTON-Jacobi-Bellman equation, *WIND forecasting, *INDUCTION generators
Abstract

• A novel robust pitch controller to enhance the dynamic performance in WT output power/speed in the high wind speed domain. • The proposed controller is independent of the exact model parameters of WTs, easy to implement in practice. • Improving access to the rotor acceleration signal with minimizing system noise amplification. • Giving a rigorous stability demonstration for the closed-loop system. • Developing a refined HIL platform for wind energy conversion systems to validate the approach's effectiveness. The wind energy conversion system is a complex dynamic system with strong nonlinearity, perturbation, and uncertainty. In this paper, a novel optimal pitch control strategy is proposed to improve the ability to stabilize the captured wind energy, so as to realize robust operation in the high-wind-speed condition for wind turbines (WT) subject to unmodeled system disturbances and uncertainty. This control strategy combines three critical techniques: optimal pitch control law determination, disturbance compensation, and acceleration estimation. Among them, the optimal pitch control law is determined by utilizing the Hamilton-Jacobi-Bellman equation, regarding the minimization of the quadratic performance index. The total system uncertain disturbance is compensated by a designed extended state observer, making the pitch control approach almost independent of precise WT model parameters, markedly reinforcing the control system robustness. To prevent system noise amplification from direct differential means in acquiring rotor acceleration, we employ a fast-converging acceleration estimator to obtain the rotor acceleration feedback signal required by the pitch control law. System stability is proved using the Lyapunov theory. The comparative results on the developed hardware-in-the-loop test platform validate the effectiveness of the proposed solution, demonstrating that it provides superior dynamic performance in WT electrical power and speed with reduced fluctuation, overshoot, and regulation time while maintaining robustness against disturbances. [ABSTRACT FROM AUTHOR]

Published
2023
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