基于粒子群优化模糊控制的多电平逆变器异步电机间接矢量控制
Particle Swarm Optimized Fuzzy Controller for Indirect Vector Control of Multilevel Inverter Fed Induction Motor
摘要：
提出了一种基于粒子群优化（PSO）模糊控制器的异步电机间接矢量控制方法。在该方案中，中性点箝位（NPC）多电平逆变器的使用和滞环电流控制技术已被用于开关IGBT。采用Mamdani型模糊控制器代替传统的PI控制器。为保证模糊控制器的性能，采用粒子群优化算法对模糊控制器的隶属度函数、归一化参数和反归一化参数进行了优化。所提出的控制器的性能进行了研究，在各种负载和速度条件下。仿真结果表明，该算法对于高性能衍生应用具有稳定性和鲁棒性。
英文摘要：
The Particle Swarm Optimized (PSO) fuzzy controller has been proposed for indirect vector control of induction motor. In this proposed scheme a Neutral Point Clamped (NPC) multilevel inverter is used and hysteresis current control technique has been adopted for switching the IGBTs. A Mamdani type fuzzy controller is used in place of conventional PI controller. To ensure better performance of fuzzy controller all parameters such as membership functions, normalizing and de-normalizing parameters are optimized using PSO. The performance of proposed controller is investigated under various load and speed conditions. The simulation results show its stability and robustness for high performance derives applications.
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