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Transverse linear switched reluctance motors (TLSRMs) are generally challenged by high-force ripples that contribute to a lower average propulsion force. This undermines the overall efficiency of the TLSRM in various industries. This paper presents structural modifications to improve the force performance of a TLSRM for transit applications. In this new design, a split-teeth stator design was proposed to virtually increase the number of stator teeth without increasing the number of translator teeth. The proposed TLSRM contains a movable translator with 16 poles for direct transmission with no gear mechanism. A hybrid TLSRM design method is presented, modifying the conventional design method to accommodate these structural modifications. A specific power output equation for the proposed motor was derived by correlating the force, power, and physical dimensions. The proposed motor was designed and analyzed using the FEM software to ensure the accuracy of the design. [ABSTRACT FROM AUTHOR]

A linear switched reluctance motor (LSRM) drive system is a complex and strongly coupled nonlinear system with time-varying parameters, friction and external disturbances. An intelligent position tracking control based on fruit fly optimization algorithm (FOA) was proposed in this study to effectively solve the effects of parameter uncertainty, load disturbance, thrust fluctuation, and friction on the performance of the LSRM system. A mathematical model of LSRM was constructed on the basis of its structure and characteristics, and spatial discretization was conducted. A single neuron adaptive controller was designed for the discretized LSRM, and its parameters were adjusted and optimized online using the FOA. The accuracy of the model was verified through experiments. Results show that the propose controller has high tracking (rotor position steady-state error is less than 10%) and strong anti-interference performance (restores to the desired rotor position instruction in 0.01 s). The proposed controller can better track the rotor position when the rotor position instruction changes, with smaller overshoot (less than 10%) and can control the PID up to 30% compared with proportional--integral--derivative (PID) controllers. The proposed method has high position tracking accuracy and strong robustness to external disturbances. [ABSTRACT FROM AUTHOR]

In this study, a linear switched reluctance motor (LSRM) with 250 W, 6/4 poles, 3 phases, and 24 V was controlled with a programmable logic controller (PLC). Some parameters of the LSRM were set, and for PC monitoring, software developed by the authors was used. A serial port was used for communication between the PC and the PLC. The software was developed with Visual C#.Net 2008 for monitoring and controlling. This user interference allows for controlling of the motor's travelling distance with a running strategy. The first and second destination can be defined and the system provides that the motor operates between these points continuously. The phase and velocity currents of the motor were shown and curved with the software. The existing position of the motor and the number of pulses were determined and displayed with a linear incremental encoder. The windings of the motor phases were energized depending on their position using a classical bridge converter. This PLC-controlled LSRM study leads industrial practices and the educational sector to highlight the importance of linear motion, which is used in many implementations. Furthermore, all types of LSRMs can be used in the developed system. [ABSTRACT FROM AUTHOR]

An improved force distribution function (FDF) of linear switched reluctance motors (LSRMs) based on nonlinear inductance modeling for force ripple minimization and smooth speed operation is proposed. Nonlinear inductance profile is divided into three segments with a K factor that depicts current effect on inductance of the LSRM. Speed controller based on the proposed FDF and the nonlinear inductance model is constructed. Both simulation and experimental results verify the proposed FDF with the nonlinear inductance modeling effectively reduce force ripples with uniform speed response. [ABSTRACT FROM AUTHOR]

An accurate estimation of flux linkage characteristics is very important during the preliminary design stage and high-performance control of linear switched reluctance motor (LSRM). In this paper, longitudinal and transversal end-effects of a double-side LSRM are studied using analytical method and finite element analysis (FEA). The estimation discrepancy introduced by both end-effects is presented respectively by investigating their sensitivities to machine parameters, such as excitation level, translator position, and stack length. [ABSTRACT FROM AUTHOR]

Abstract: This paper presents the realization and design of a new linear switched reluctance motor (LSRM) structure. The new model has double sided configuration and provides high force for many applications with low cost. The characteristics of the LSRM are obtained by using finite element analysis (FEA) and analytical calculations. The results of the FEA and analytical calculations are presented, and compared with experimental results. A high correlation between experimental and analytical results is obtained, which has been demonstrated in the form of inductance versus position versus current. [Copyright &y& Elsevier]