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Research On The Drive And Control System Of Switched Reluctance Motor For Electric Vehicles

Posted on:2016-05-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y YangFull Text:PDF
GTID:2272330479989780Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Electric vehicles are an important component part of the smart grid, but also represents the future direction of research on the automotive industry. The motor control technology as one of the three key technologies on electric vehicles more and more receives takes, since its control effect directly influences on the driving performance of electric vehicles. Switched reluctance motor has tremendous potential to be the excellent drive system of electric vehicles for the advantages of low cost, high efficiency and high reliability. Based on the SRM drive system on electric vehicles, this paper deeply researchs on the drive and control strategy, software and hardware design with the aim to improve the speed tracking performance and reduce the torque ripple.Switched reluctance motor is a complex system with high-order, strong nonlinear, multivariable and strong coupling due to the structure characteristics, which has the strong output torque ripple. The traditional speed control systems always are equipped with conventional linear controller and fixed turn-on angle and torn-off angle. This approach simplifies the switched reluctance motor into a linear model to design the controller. The nonlinear characteristics, parameter uncertainties and load torque unknown disturbances are ignored, which leads to low robustness and stability. Meanwhile the fixed angle control method is difficult to satisfy the performance requirements of the drive system of electric vehicles. Therefore,the nonlinear speed controller is designed by the adaptive back-stepping method with the aim to enhance robustness and stability. And the optimal torque control strategy is proposed to improve motor efficiency and minimize the torque ripple.Different from the linear model, the nonlinear analytical model of flux linkage is identified by Levenberg- Marquardt algorithm, which based on the experimental data from finite element analysis of switched reluctance motor. In order to track reference speed and estimate the parameter uncertainties or load torque unknown disturbance, the adaptive back-stepping speed controller and adaptive updating rule of uncertain parameters are designed by Lyapunov theory. Through researching the effect of turn-on angle and turn-off angle on the phase current waveforms, system efficiency and torque ripple, the optimal torque controller is presented based on the strategies of angle adjustment. The overall system model is established in the Matlab and the control strategies are verified by simulation. The results have shown that the nonlinear speed controller has excellent speed tracking performance and stronger robustness and stability for load torque unknown disturbances, with the optimal torque controller can significantly improve the motor efficiency and reduce the torque ripple.The software and hardware modules of the drive and control system of switched reluctance motor are designed based on the experimental prototype, and the experimental platform is built based on DSP TMS320F2812 digital controller. The simulation and experimental results have further verified the practical feasibility of the proposed optimal torque control scheme.
Keywords/Search Tags:electric vehicles, switched reluctance motor, adaptive back-stepping, optimal torque controller, DSP controller
PDF Full Text Request
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