Research On State Estimation And Control Of Speed Sensorless For Permanent Magnet Synchronous Motor

Permanent magnet synchronous motor is one of the most popular motors in the market,which is mainly due to its relatively simple control,superior overall performance and relatively high cost performance.Permanent magnet synchronous motors typically use mechanical sensors to detect motor speed and position.The addition of mechanical sensors will lead to a relatively large volume of the system as a whole,relatively poor stability,and an increase in the cost of the control system.Therefore,the speed sensorless control technology has gradually become an important research direction in the field of permanent magnet synchronous motor control.In this paper,the PMSM model is used to study the state estimation and control of the sensorless state of permanent magnet synchronous motor.The specific content includes:(1)Firstly,the mathematical model of permanent magnet synchronous motor is constructed,and the speed estimation method based on improved model reference adaptive(MRAS)algorithm is studied.The DC deviation and cumulative error caused by the traditional model reference adaptive method in the pure integral part of flux linkage observation are solved.problem.Specifically,by adding a high-pass filter link in the current model to balance the phase and amplitude errors,the purpose of eliminating the DC offset is achieved.In addition,a high-pass filter is added to the established voltage mathematical model,thereby further reducing the pure integral effect.influences.In the observation work of the flux linkage,the feedback value can be used to compare the stator flux linkage values in the two models of voltage and current to obtain the error value.On this basis,the error value obtained by the PI regulator is corrected,and the accuracy of the observer is effectively improved.The simulation and experimental results also fully prove that the proposed scheme is feasible.(2)Aiming at the problems existing in the application of the traditional auto disturbance rejection controller(ADRC)in the control system of permanent magnet synchronous motor,such as poor tracking effect and low convergence efficiency,the permanent magnet synchronous motor control method based on repeated auto disturbance rejection control is studied.That is to say,the anti-disturbance capability of the traditional ADRC system is enhanced by the repeated repeated control method,and the control precision of the system is further improved.Based on the principle of repetitive control,the generated errors are periodically tracked and compensated in time,so that the error is continuously reduced,and the interference isolation of the control system is improved,thereby further reducing the dependence of ADRC on the motor parameters.The simulation and experimental results show that the repeated auto-disturbance control has better robustness and control effect in anti-disturbance and motor parameter variation.(3)The PMSM control experiment platform with DSP TMS320F28335 as the control core is established,and the specific software and hardware implementation scheme is proposed.In this platform,the hardware mainly consists of two parts: the control board and the drive board.The control board includes a DSP minimum system module,an A/D acquisition module,an encoder signal conversion module,and the like;the driver board mainly includes a system power module,an intelligent power module(IPM),and a peripheral driving circuit thereof.In the software design part,the development environment of DSP and the corresponding development steps are elaborated.At the same time,the architecture of the software is analyzed,and then verified by experimental tests.The test results also fully prove the feasibility of the proposed scheme.