基于粒子群算法的导引头稳定平台控制参数设计

Design of Seeker Stabilized Platform Control Parameters Based on Particle Swarm Optimization

稳定平台控制器的参数设计对导引头的跟踪能力有重要影响。从导引头伺服稳定平台的工作原理出发,并依据新型稳定平台快速度、高精度、多耦合、多约束的特点,设计目标函数,采用粒子群算法(PSO)对稳定平台的控制器进行寻优,结果表明:使用粒子群算法可以设计出合乎要求并能达到多约束下最优的控制器,对于复杂控制系统参数的快速整定有重要意义。

Design of stabilized platform controller parameter is important to the seeker＇s tracking ability. For seeker, according to the operating principle of the servo stabilized platform, and taking into account the characteristics of faster speed, higher precision, and more coupling constraints on new stable platform, we design the objective functionusing particle swarm algorithm. Optimization results show that the design using particle swarm algorithm meets requirements and can achieve optimal controller for the complex control system. It has important significance under the restriction of rapid adjustment of parameters.