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作 者:薛大伟 常九健 王晓林 XUE Dawei;CHANG Jiujian;WANG Xiaolin(Hefei University of Technology,Hefei 230009,China)
机构地区:[1]合肥工业大学,合肥230009
出 处:《汽车工程学报》2024年第5期858-867,共10页Chinese Journal of Automotive Engineering
基 金:安徽省新能源汽车暨智能网联汽车创新工程项目(IMIZX2019005):面向智能网联汽车的全线控底盘开发及测试验证。
摘 要:针对传统PI控制器难以同时满足高速弱磁和低速弱磁电压反馈回路增益非线性变换的问题,提出了一种自适应调节方案。通过分析解耦电压反馈式电流超前角控制回路中导致系统非线性的因素,设计了反比函数转速调节器和模糊控制电流超前角调节器,对弱磁工况下电压控制回路的非线性进行补偿,设计了钳位抗饱和模块以解决电压反馈积分饱和问题。在此基础上,采用粒子群优化算法,对模糊控制器的模糊规则权值和比例因子进行离线优化。通过仿真和试验证明了自适应弱磁算法响应特性优于传统PI电压反馈控制算法。A self-adaptive adjustment scheme is proposed to address the problem that traditional PI controllers cannot simultaneously achieve nonlinear gain transformation in both high-speed and low-speed weak magnetic field voltage feedback loops.By analyzing the factors that lead to system nonlinearity in the decoupling-voltage-feedback current-lead-angle control loop,an inverse function speed regulator and a fuzzy control current lead angle regulator have been designed.These regulators compensate for the nonlinearity of the voltage control loop under weak magnetic field conditions.Additionally,a clamping anti-saturation module is developed to solve the issue of integral saturation in voltage feedback.On this basis,the particle swarm optimization algorithm is adopted to conduct offline optimization of the fuzzy rule weights and proportional factors in the fuzzy controller.Finally,simulation and experimental results show that the adaptive weak magnetic algorithm exhibits better response characteristics compared to traditional PI voltage feedback control algorithms.
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