Research Of Permanent Magnet Synchronous Motor Tracttion System Based On Sliding Mode Oserver

In recent years,with the rapid development of China's economy,the elevator industry has shown a prosperous scene.From software design to hardware construction,from the operating speed to the ride comfort,people have more and more requirements on the comprehensive performance of elevator.However,with the increase in manufacturing cost,the inherent contradiction between ride comfort and hardware costs is also increasingly prominent.At present,the development of hardware structure has gradually entered the bottleneck area,and it is difficult to make new and greater breakthroughs in the short term.On the contrary,the development in software has continued to heat up,especially in the field of control strategy.Around this topic,the content of this paper is summarized as follows:First of all,complying with the current trend and selects the permanent magnet synchronous motor as the controlled object.This paper focuses on the control strategy of the traction motor.At the beginning of the paper,according to the latest survey data published in the China Report Hall,the present situation and prospect of elevator industry is briefly analyzed in China.In this part,the main traction system,drive technology,and the basic working principle of elevators used in the elevator industry are introduced.Secondly,the magnetic field of the permanent magnet synchronous traction machine is analyzed,and the magnetic circuit is established accordingly.On this basis,the model of the traditional traction motor control is simplified.The topology of the traction system and the new mathematical model of the permanent magnet synchronous traction machine are designed and optimized.The simulation of the model was performed.Then,a super-sliding sliding mode observer is used as an observer for the angular velocity of the rotor.The parameters of the observer are fitted by SVM to obtain the identification parameters.The observer is optimized by the particle swarm optimization algorithm to reduce the noise.The simulation experiment was performed on the new sliding mode observer.Finally,a sliding mode observer based on the joint support vector,and particle swarm optimization of the cache layer selection signal is applied to the control of the permanent magnet synchronous motor.Experiments show that the strategy can effectively estimate important parameters such as the rotation speed and flux angle,and the response time of outputting electromagnetic torque is also greatly shortened,thereby the riding comfort is improved.The experimental results were analyzed in the conclusion section.