MGA在环形力矩电机H_∞速度控制中的应用

Multi-objective genetic algorithm and its application in H_∞ speed control of permanent magnet ring torque motor

数控转台永磁环形力矩电动机回转送进系统采用直接驱动技术后,对负载扰动和参数变化比较敏感,使系统的伺服性能大大降低.针对这一问题,采用多目标遗传算法设计H∞速度控制器,对H∞速度控制器参数优化选取,该控制方法可以有效地抑制负载扰动和参数变化对数控转台伺服系统产生的干扰,使系统具有更强的鲁棒性,并获得良好的跟踪响应.仿真结果表明,所提出的多目标遗传算法H∞速度控制使数控转台回转送进系统对负载扰动及参数变化具有更强的鲁棒性和快速性.

The direct drive rotary feeding system of permanent magnet ring torque motor used in NC rotary table is more sensitive to load disturbances and parameter variations, which greatly reduces servo performances of the system. An H∞ speed controller was designed based on multi-objective genetic algorithm （MGA） to optimize the parameters of Hoo speed control. Compared with the conventional H∞ speed control, this control method can effectively reject the effect of load disturbances and parameter variations on NC rotary table servo system to enable the system to have better robustness and achieve good tracking response. The simulation results show that the proposed multi-objective genetic algorithm H∞ speed control enables the NC rotary table rotary feeding system to be better in robustness and rapidity against load disturbances and parameter variations.