Research On Direct Instantaneous Torque Control System Of Switched Reluctance Motor Using Active Disturbance Rejection Based Iterative Learning Control

Switched reluctance motor(SRM)is a research hotspot in transmission field in recent years.It has the advantages of simple structure,high reliability,low production cost,and the switched reluctance motor drive(SRD)has high fault-tolerant rate,flexible control,wide range of speed regulation and high energy conversion efficiency.These advantages make SRM widely used in the fields of household appliances,textile,mining,industrial transmission,aerospace,etc.However,due to its structure,SRM has the problem of large torque ripple,which limits its further developmentAiming to suppress the torque ripple of SRM,the direct instantaneous torque control(DITC)strategy using active disturbance rejection based iterative learning control(ADR-ILC)is designed.ADR-ILC is a new ILC algorithm.The algorithm has fast convergence speed and strong anti-interference performance,and the control process does not need the precise model and parameters of the controlled system,which is very suitable for the SRM control system.The traditional DITC based on torque error is used to hysteresis control for the power switch,so the utilization of the error signal is low.By analyzing the torque characteristics of SRM,ADR-ILC is combined with DITC,so that the torque controller can quickly track the expected torque with a small convergence error and reduce torque ripple.Firstly,this paper summarizes the work of domestic and foreign scholars on restraining SRM torque ripple,and analyzes its advantages and disadvantages.Secondly,the structure and working principle of SRM are analyzed to confirm its nonlinear problem and the strong coupling of parameters such as winding current,rotor position and flux.By analyzing the flux characteristics of SRM,the relationship between torque,position and current is obtained,the mathematical model of SRM is established,and the common control methods of SRM are summarized.Then,based on the iterative learning control algorithm,the iterative extended state observer(IESO)in the iterative domain is derived from the extended state observer(ESO)in the time domain,and the new ADR-ILC algorithm is analyzed and obtained.The core control algorithm of this paper,DITC based on ADR-ILC is proposed.The SRD is designed to simulate the DITC algorithm based on ADR-ILC.The simulation results show that this algorithm can effectively suppress the torque ripple under the condition of SRM startup and load mutation,and the torque ripple coefficient is limited to less than 10%under different speeds and loads.In the comparative experiments under the same conditions,the torque ripple coefficient is reduced by 68.46%compared with traditional DITC,and the convergence speed is faster compared with ILC.The performance of DITC algorithm based on ADR-ILC is obviously superior.Finally,an experimental platform of SRD is built based on dSPACE.A 0.37kW fourphase 8/6 poles SRM is tested to verify the effectiveness of the proposed control algorithm.Through the work in this paper,it is proved that DITC based on ADR-ILC can effectively suppress SRM torque ripple.The proposed algorithm has the advantages of simple structure and strong anti-interference,which makes it highly practical.