电机与控制应用2024，Vol.51Issue(11)：44-52,中插5,10.DOI:10.12177/emca.2024.126
基于无权重PID型代价函数的永磁同步电机模型预测转矩控制
Model Predictive Torque Control of Permanent Magnet Synchronous Motor Based on Unweighted Factor PID Cost Function
摘要
Abstract
[Objective]To solve the problem of poor robustness in the model predictive torque control(MPTC)algorithm caused by parameter mismatch in the control model of permanent magnet synchronous motors,an MPTC algorithm based on an unweighted factor proportional integral derivative(PID)cost function was proposed.[Methods]The PID cost function eliminated static error by constructing an integral error value function and suppressed the oscillation of torque and flux linkage errors by constructing a differential error value function.However,since torque and flux linkage had different dimensions,the PID cost function still included weight coefficients.To solve this problem,an unweighted dual-cost function parallel strategy was proposed,which transformed the multi-objective cost function into a single-objective cost function to obtain a set of voltage vectors.The current-type cost function was used as the final criterion to evaluate the optimal voltage vector,thus eliminating the need for weight coefficient.Finally,the proposed unweighted factor PID cost function MPTC was compared with the traditional cost function MPTC through simulations.[Results]The results show that MPTC with unweighted factor PID cost function can suppress torque and flux ripple,reduce the dependence of MPTC on model parameters,and solve the difficulty in adapting to different operating conditions because of the existence of weight coefficient,while maintaining the advantage of MPTC's fast dynamic response.[Conclusion]The proposed cost function demonstrates good feasibility in MPTC for permanent magnet synchronous motors.关键词
模型预测转矩控制/代价函数/权重系数/鲁棒性/永磁同步电机Key words
model predictive torque control/cost function/weight coefficient/robustness/permanent magnet synchronous motor分类
信息技术与安全科学引用本文复制引用
丁志强,郭凯凯,高雄,赵金涛..基于无权重PID型代价函数的永磁同步电机模型预测转矩控制[J].电机与控制应用,2024,51(11):44-52,中插5,10.基金项目
安徽省教育厅基金重大项目(2022AH040110) （2022AH040110）
国家自然科学基金青年项目(51905003)Major Fund Project of Anhui Education Department(2022AH040110) （51905003）
Youth Project of National Natural Science Foundation of China(51905003) （51905003）
