Research On Sensorless Enhanced Linear Active Disturbance Rejection Control And Noise Reduction For Permanent Magnet Synchronous Motor

Permanent magnet synchronous motor(PMSM)has been widely used in fields such as electric vehicles and wind power generation due to its advantages such as high torque density,high peak efficiency,and wide range of constant power speed regulation.This dissertation conducts research on the working principle,mathematical model,design of sensorless enhanced linear active disturbance rejection control(ELADRC),random high-frequency square-wave injection noise reduction delay compensation control based on Markov chain(MC),and digital control system implementation of PMSM.The main work and achievements are as follows:1.This dissertation summarizes the research background,development,and significance of PMSM zero low speed sensorless control,and elaborates on the research overview of active disturbance rejection control(ADRC)technology.On this basis,the mathematical model of PMSM sensorless control was analyzed and derived.Combining the principle of coordinate transformation and space voltage vector pulse width modulation(SVPWM)technology,the position sensorless control system of PMSM is built in the simulation software,which lays the foundation for the subsequent control strategy.2.To address the decrease in position extraction accuracy caused by inductance coupling caused by magnetic saturation and improve the robustness of the system to model uncertainty,a position sensorless enhanced linear active disturbance rejection control strategy(ELADRC)considering magnetic coupling factors is proposed.The simulation results show that this strategy not only has excellent current dynamic tracking and disturbance resistance performance,but also has smaller position and velocity estimation errors.3.A random high-frequency voltage injection scheme based on Markov chain is proposed to solve the problems of noise and time-delay effects in typical high-frequency injection control schemes.The strategy introduces the concept of Markov chain on the basis of high-frequency square wave voltage injection,and injects two high-frequency signals with different frequencies and amplitudes into the estimated d-axis.By analyzing the power spectral density(PSD)of high-frequency current,it is proved that the scheme has spread frequency characteristics and effectively reduces unnecessary noise.In addition,a position signal demodulation scheme with delay compensation is proposed to address the time delay effect caused by the use of filters,effectively reducing position estimation errors.4.A software and hardware experimental platform for PMSM was built with dSPACE as the core,and relevant experiments were conducted based on this testing platform.The experimental results show that the proposed control strategy can not only achieve stable PMSM sensorless control,but also effectively improve the current tracking and anti-interference performance of the current closed-loop.