摘要
为解决传统PI控制精度低、抗干扰能力差,无法满足永磁同步电机对调速系统的精确控制等问题,提出一种改进的天牛须粒子群(IBAS-PSO)算法对PMSM转速环控制。首先,基于永磁同步电机控制原理建立PI控制模型;其次,将PSO算法与BAS算法结合,提高融合算法的整体寻优速度,改进融入贪心机制的非线性惯性权重,增强算法自适应能力,引入Levy飞行策略改进动态步长系数,避免算法陷入局部最优,并通过基准测试函数验证了所提算法具有良好的收敛速度和精度;最后,在MATALB/Simulink建模仿真并对比。结果表明,IBAS-PSO对于PI控制的各类性能指标最优,能快速控制永磁同步电机运转,增强系统鲁棒性。
To solve the problems of low precision and poor anti-interference ability of traditional PI control,which cannot meet the precise control of PMSM for speed control system,an improved beetle-bearded particle swarm(IBAS-PSO)algorithm is proposed.Firstly,a PI control model is established based on the control principle of permanent magnet synchronous motor.Secondly,the PSO algorithm is combined with the BAS algorithm,improving the overall optimization speed of the fusion algorithm and improving the integration greedy mechanism.The nonlinear inertia weight of the algorithm enhances the adaptive ability of the algorithm,and the Levy flight strategy is introduced to improve the dynamic step coefficient,so as to avoid the algorithm from falling into local optimum.The benchmark test function verifies that the proposed algorithm has good convergence speed and accuracy.Finally,the simulation model was established for comparative analysis in MATALB/Simulink.The results show that IBAS-PSO is optimal for various performance indicators of PI control,can quickly control the operation of permanent magnet synchronous motor,and enhance the robustness of the system.
作者
岳有军
邵子藁
赵辉
王红君
YUE You-jun;SHAO Zi-gao;ZHAO Hui;WANG Hong-jun(School of Electrical Engineering and Automation,Tianjin University of Technology,Tianjin 300384,China)
出处
《组合机床与自动化加工技术》
北大核心
2023年第4期120-124,共5页
Modular Machine Tool & Automatic Manufacturing Technique
基金
天津市自然科学基金重点项(08JCZDJC18600)
天津市教委重点基金项目(2006ZD32)。
