摘要：针对开关磁阻电动机调速控制技术，设计了模糊PID调速控制器，提出了融合遗传算法的改进萤火虫算法。算法性能测试函数证明了改进萤火虫算法比单一算法的优化性能更优，把改进萤火虫算法应用到模糊调速控制器中来选取最优的量化因子和比例因子，仿真结果表明，改进萤火虫算法优化调整的模糊PID调速控制器在起动过程、负载干扰和转速跟踪性能上均表现出了更好的鲁棒性、抗干扰性和跟随性。
关键词：开关磁阻电动机；模糊PID；调速控制器；改进萤火虫算法
Abstract: Aiming at switched reluctance motor speed control technique, fuzzy PID speed controller was designed and improved glowworm swarm optimization combining with genetic algorithm was proposed. Algorithm performance test functions have proven its superior performance than single optimization algorithm. Improved glowworm swarm optimization was applied to fuzzy controller to select the optimal quantization factor and scaling factor. The simulation results show that fuzzy PID speed controller optimized by improved glowworm swarm optimization shows better robust, antiinterference and following performance under the statrtup process,load disturbance and speed tracking.
Key words: switched reluctance motor; fuzzy PID; speed controller; improved glowworm swarm optimization