动平台视轴稳定控制的两种智能PID算法研究

分析了动平台下光电探测设备视轴稳定的基本原理，针对用于视轴稳定的伺服控制系统动态和稳态性能指标的高精度要求，设计了两种基于模糊控制的智能PID控制算法——FLCPID复合控制算法和PID参数模糊自整定算法。分别从理论上分析了这两种智能算法的可行性及技术特点，阐述了其设计过程。仿真计算表明，这两种基于模糊控制的智能PID控制算法均能获得优于常规PID的控制效果；FLCPID复合控制算法的调节时间小于0．05s，无超调，PID参数模糊自整定算法调节时间小于0．1s，超调量小于5％，显然前者的动态性能优于后者；后者对300ms时突加的1V扰动信号可完全抑制，有更强的鲁棒性。

Research on Two Kind of Intelligent PID Algorithms Applied to Dynamic Platform Systems' Line of Sight Stabilization

The basic principles of LOS stabilization under dynamic condition are firstly analyzed. Then in order to satisfy the high-precision dynamic and steady state specification of LOS stabilization servo control system, two kinds of intelligent PID algorithms, complex FLC-PID control and PID parameters self-tuning using fuzzy rules, which are based on fuzzy control are proposed. The feasibility and distinguishing feature of the two intelligent algorithms are investigated theoretically and the de signing process is also elaborated in this paper. It demonstrates by simulate compute that the intelligent PID algorithms evaluated here are better performed than conventional PID. Complex FLC-PID control with ls〈0. 05 s and zero P. O（percentage overshoot） overmatches PID parameters self-tuning using fuzzy rules algorithms with tS〈0. 1 s and P.O0%5% in dynamic performance, while the latter features considerable robustness for which can restrain interference of 1 V completely.