Application of adaptive fuzzy PID controller to tracker line of sight stabilized system
自适应模糊PID控制器在跟踪器瞄准线稳定系统中的应用

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.