摘要
电动汽车由于没有噪声,没有废气污染而受到城市居民的欢迎。而永磁同步电机在交流电机中具有很高的转动惯量,从而在电动汽车中广泛应用。该文提出了一种新的永磁同步电机控制策略,即利用粒子群算法对模糊控制器的3个比例因子参数ka、kb、ku进行全局优化,充分发挥模糊控制器的鲁棒性。为了验证该方法的有效性,利用Matlab仿真工具进行仿真验证,观察控制系统的一阶动态响应。结果表明,系统具有很强的鲁棒性,能够很好的跟踪负载变化,动态响应快,速度跟随准确;利用DSPF240仿真器搭建实验电路,并将整个优化过程分为3个阶段,减少计算量,以提高运算速度,实验结果初步验证了粒子群优化方法在电动汽车领域应用的可行性。
A new intelligent controller for a permanent-magnet synchronous machine is presented in a HEV（hybrid- electric vehicle） application. IPSO（improved particle swarm optimization） was used to optimize three proportional parameters ka, kb, ku of FLC（Fuzzy Logical Controller） online increasing the robustness of overall system. And then, the overall system was simulated under various operating conditions. Especially, the system was tested using a step change signal of load. The results show that the use of IPSO as an optimization algorithm makes the drive robust, with better follow performance, faster dynamic response and higher accuracy to load variation, Finally, practical circuits were set up using DSP F240, and the whole optimization process was divided into three phases for improving the computation speed. The results show the feasibility of application of ISPO in the field of HEV.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2006年第17期158-162,共5页
Proceedings of the CSEE
关键词
永磁同步电机
鲁棒性
粒子群优化
模糊控制器
仿真
permanent-magnet synchronous machine
robustness
particle swarm optimization
fuzzy logical controller
simulation
