自适应模糊PID控制器在跟踪器瞄准线稳定系统中的应用

针对陀螺惯性平台上的跟踪器瞄准线稳定系统中非线性不确定因素对稳定精度的影响, 设计了一种自适应模糊PID复合控制策略. 提出了改进的自适应调整因子和学习算法进行控制参数和规则的在线修正; 采用PID控制克服模糊控制固有的精度盲区. 实验结果表明该方法在一定测量噪声和速度敏感范围内, 能有效地隔离载体扰动,保证跟踪器对目标的准确瞄准, 具有动态响应快、稳定精度高、自适应抗干扰鲁棒性强等特点.

Application of adaptive fuzzy PID controller to tracker line of sight stabilized system

The adaptive fuzzy PID hybrid control is developed for the LOS(line of sight) stabilized system with nonlinear property and some uncertain factors. In the adaptive fuzzy controller, the self-tuning factors are made to modify the parameters of fuzzy controller online. A new learning algorithm of rule modifier is proposed to adjust control efforts. The PID control is adopted to eliminate the static error that fuzzy controller inheres and to fulfil the error-free requirement. The experimental results show that the proposed method can achieve perfect performance and is effective in separating carrier disturbances within the scope of definite noise and sensitivity to velocity. The system has fast dynamic response, high stabilization precision and strong adaptive robustness.