Research On Torque Control Of High Performance Sensorless Permanent Magnet Synchronous Motor

The application of permanent magnet synchronous motor is more and more extensive,and the rapid development of technology puts forward higher requirements on the conversion rate of control system energy,so a high-performance permanent magnet synchronous motor speed control system needs to have a very high power factor.In the operation of the motor,the transition process time is short,difficult to analyze and accompanied by a large number of nonlinear phenomena.This increases the amount of calculation and the complexity of analysis,and proper simplification can optimize the calculation process.This paper proposes a simple control algorithm of permanent magnet synchronous motor with variable power factor to improve the power factor of various motors in the motion system.This method is based on the theoretical derivation of the model,and obtains several simplified relations under steady-state conditions,and then improves The composition of the power factor part,and then according to the voltage limit,current limit,and the optimal quasi-efficiency scheme,the range of power factor variation and the automatic tuning method of the instantaneous power factor are determined.Finally,the performance of the permanent magnet synchronous motor control system is improved by changing the power factor during the operation of the motor.In order to obtain a robust position estimator,a model-reference-based adaptive position estimation method that can reduce the impact of parameter changes on accuracy is proposed.This method uses models to reduce the parameters required for position estimation by non-linear factors.The influence of changes,combined with the model reference adaptive algorithm,can greatly improve the robustness of position estimation.The state equation is defined in the linear range by using the state equation of two state variables,and an adaptive observer is designed on this basis,which can make the estimated value tend to the true value.And combined with Popov superstability theory to determine the stability of the observer.This allows the estimator to provide a stable speed estimation signal for the power factor auto-tuning module.To ensure the feasibility of the entire position sensorless variable power factor system.Finally,through simulation experiments,the sensory and sensorless variable power factor control algorithms are simulated and verified.The simulation results show that the variable power factor method can improve the power factor of the motor during operation.Combined with the algorithm without position sensor,a position sensorless variable power factor motion control system is obtained,which can work well in a sensorless environment.The simulation experiment proved the effectiveness and feasibility of the high-performance sensorless permanent magnet synchronous motor control system.