摘要
针对异步电机在传统PI控制策略中,参数固定且容易超调,而无速度传感器中存在的对参数变化鲁棒性差的问题,研究了一种基于粒子群PI控制与滑模观测器的异步电机无速度传感器的矢量控制方案。滑模观测器根据异步电机定子磁链和定子电流关系推导出来的数学状态方程式,基于滑模自适应理论,建立观测器模型,从而实现转速的估计。电机速度外环PI由粒子群迭代优化计算整定,与传统控制方案相比,该方法易于实现,能有效提高控制精准性,抑制扰动,同时节省了传感器成本。仿真实验对控制方案的正确性和可行性给出了验证,该观测器可以实现对定子磁链和转速的观测,且在负载扰动和给定转速变化的情况下该滑模观测器具有鲁棒性。
In order to solve the problem that the parameters of induction motor are fixed and easy to overshoot in the traditional PI control strategy,and the robustness to the parameter change is poor in the speed sensorless control strategy,a speed sensorless vector control scheme based on particle swarm PI control and sliding mode observer is studied.Based on the mathematical state equation derived from the relationship between the stator flux and the stator current of the asynchronous motor,the observer model is established based on the sliding mode adaptive theory to realize the speed estimation.Compared with the traditional control scheme,this method is easy to realize,which can effectively improve the control accuracy,suppress the disturbance,and save the sensor cost.The correctness and feasibility of the control scheme are verified by the simulation experiment.The observer can realize the observation of stator flux and speed,and it is robust in the case of load disturbance and given speed change.
作者
罗如学
尤妙娜
林继灿
LUO Ru-xue;YOU Miao-na;LIN Ji-can(Cunjin College,Guangdong Ocean University,Zhanjiang 524000,China;Department of Mechanical and Control Engineering,Guilin University of Technology,Guilin 541000,China)
出处
《控制工程》
CSCD
北大核心
2020年第5期884-890,共7页
Control Engineering of China
基金
广东海洋大学寸金学院重点建设学科(CJXK201801)
教育部产学合作协同育人项目(201802296001)。
关键词
矢量控制
粒子群算法
滑模观测器
速度观测
Vector control
particle swarm optimization
sliding mode observer
speed observation
