摘  要：针对当前锁相速度控制器的参数整定多采用试验加试凑的方式由人工进行优化，提出了一种以快捕带为目标函数的锁相速度控制器新型蚁群参数优化策略。建立了目标函数，推导了蚁群算法锁相速度控制器参数优化方法，并给出了新算法的具体实现步骤，最后将该优化方案用于磁悬浮控制力矩陀螺的高速无刷直流电机速度控制。仿真研究表明，该锁相速度控制器参数优化策略具有很强的适应性、鲁棒性，进而通过实验验证了该方案的可行性和有效性。
关键词：蚁群算法；锁相速度控制；参数优化；高速无刷直流电机；磁悬浮控制力矩陀螺

Abstract: This work presents an optimum approach to design phase-locked loop speed controllers（PLSC）.The primary design goal is to obtain good load disturbance response by minimizing the absolute control error of speed of brushless DC motor.In light of traditional phase-locked loop speed controller parameters optimization with manual cut and try method,a novel kind of phase-locked loop speed controller parameters optimization strategy based on ant colony algorithm(ACA)was proposed.ACA is a new category of bionic algorithm for optimization problems.Parallel computation mechanism is adopted in this algorithm.On the basis of brief introduction of ACA,a method for setting PLSC controller parameters using ACA was derived.A detailed realizing process of the new algorithm was also presented.In the end,this new phase-locked loop speed controller parameters optimization scheme was applied to high speed brushless DC motor of magnetically suspended gyroscope system.The simulation results show that the ACA based phase-locked loop speed controller parameters optimization has excellent adaptability and robustness.And the feasibility and effectiveness of this scheme is further verified.
Key Words: Ant colony algorithm;Phase-locked loop speed control;Parameter optimization;High speed brushless DC motor;Magnetically suspended control moment gyroscope