基于异步电机控制的拖拉机传动系统突变载荷模拟  

Sudden load simulation of tractor transmission system based on asynchronous motor control

作　　者：李宗召 刘孟楠 闫祥海 徐立友 陶倩文 LI Zongzhao;LIU Mengnan;YAN Xianghai;XU Liyou;TAO Qianwen(School of Vehicle and Traffic Engineering,Henan University of Science and Technology,Luoyang 471003,China;State Key Laboratory of Power System of Tractor,Luoyang 471003,China;YTO Group Corporation,Luoyang 471004,China)

机构地区：[1]河南科技大学车辆与交通工程学院,洛阳471003 [2]拖拉机动力系统国家重点实验室,洛阳471003 [3]中国一拖集团有限公司,洛阳471004

出　　处：《现代制造工程》2022年第10期125-130,共6页Modern Manufacturing Engineering

基　　金：拖拉机动力系统国家重点实验室开放课题项目(SKT2022001);2021年度河南省科技攻关项目(212102210328);2022年度河南省高等学校重点科研项目(22B416001)。

摘　　要：突变载荷是拖拉机传动系统故障的主要诱因,为此提出了粒子群优化(Particle Swarm Optimization, PSO)算法-模糊PI控制与异步电机矢量控制相结合的控制方法,实现了拖拉机传动系统台架试验中突变载荷的模拟。引入Isight优化软件,以时间乘以误差的绝对值积分(ITAE)最小为优化目标,利用PSO算法对模糊PI控制器的量化因子、比例因子进行了优化。最后,将优化后的模糊PI控制器导入到异步电机控制模型和拖拉机传动系统加载试验台进行仿真和试验验证。仿真对比分析表明,PSO算法-模糊PI控制与异步电机矢量控制相结合的控制方法比传统PI控制方法和模糊PI控制方法的突变载荷模拟的最大超调量分别降低了53.51%和42.67%、峰值时间分别减少了42.31%和3.23%以及调整时间分别减少了超过25.20%和16.89%。仿真与试验对比分析表明,仿真与试验变化趋势基本一致,且系统能够平稳运行,因此利用PSO算法-模糊PI控制能够有效改善系统的综合性能。Sudden load is the main inducement of tractor transmission system failure.Therefore, a control method combining Particle Swarm Optimization(PSO) algorithm-fuzzy PI control and asynchronous motor vector control was proposed to realize the simulation of sudden load in tractor transmission system bench test.The Isight optimization software was introduced, and the quantization factor and scale factor of the fuzzy PI controller were optimized by using the PSO algorithm, taking the minimum Integrated Time and Absolute Error(ITAE) as the optimization goal.Finally, the optimized fuzzy PI controller was imported into the asynchronous motor control model and the tractor transmission system loading test bench for simulation and verification experiments.The simulation comparative analysis shows that the maximum overshoot for sudden load simulation of the control method combining PSO-fuzzy PI control and asynchronous motor vector control is 53.51 % and 42.67 % lower than that of the traditional PI control method and fuzzy PI control method, respectively. The time decreased by 42.31 % and 3.23 % respectively and the adjustment time decreased by more than 25.20 % and 16.89 % respectively. The comparative analysis of simulation and experiment shows that the change trend of simulation and experiment is basically the same, and the tractor transmission system can run smoothly. Therefore, the use of PSO algorithm-fuzzy PI control can effectively improve the comprehensive performance of the tractor transmission system.

关 键 词：突变载荷模拟 异步电机 矢量控制 模糊PI 粒子群优化算法 Isight优化 

分 类 号：TM343[电气工程—电机]