Research On Control Performance Of Switched Reluctance Motor Based On Direct Instantaneous Torque Control

Switched reluctance motor(SRM)has the advantages of low cost,wide speed range,and flexible control,so it has been studied deeply in recent years.In addition,with the rapid development of power electronics technology,SRM has been using widely in engineering.However,the SRM has a high degree of nonlinearity,strong coupling and large torque ripple because of the double-salient structure.The applications of SRM are greatly limited.Thus,it is significance to research the control performance of SRM.The cause of torque ripple is studied deeply in this paper.A torque distribution function(TSF)based on variable current overlap angle is proposed to improve direct transient torque control(DITC).According to the characteristics of current during commutation,the current overlap angle is calculated at the different operating conditions.At the same time,a new method to set the turn-on angle of SRM is proposed based on the current overlap angle.Therefore,the phase torque of SRM could be distributed rationally by optimizing current overlap angle and turn-on angle.The suppression of torque ripple is achieved.In order to achieve the nonlinear control of SRM,a sliding mode control(SMC)based on improved equal reaching law is used for SRM speed controller.The speed controller could adjust the reaching speed and the jitter amplitude according to the distance between the system state and the sliding surface.Thus,the response performance of speed could be improved.In addition,the torque ripple is suppressed further.According to the principle of the proposed strategy,the MATLAB/simulink simulation model is built for a 12/8,11 k W SRM.The simulation results show that the torque ripple could be reduced effectively by the improved DITC strategy.The performance of SRM is improved.Finally,a semi-physical simulation platform is built based on RT-LAB.The RT-LAB works in rapid control prototype pattern(RCP).The actual SRM is controlled by a simulation controller.Experimental results demonstrate the effectiveness and feasibility of the presented strategy.