随动系统的参考模型自适应模糊控制器设计

Design of Reference Model Adaptive Fuzzy Logic Control for Servo System

常规模糊控制器对系统的控制方式完全基于启发式的控制,对超调量的回调速度较慢。以武器随动系统和模糊控制为背景,提出一种基于参考模型的自适应模糊控制器以改善其控制性能。利用参考模型与系统过程的递归方程式的关系,确定自适应模糊控制器的单点输出值,从而克服启发式控制方式在小误差范围内灵敏度差的缺点,达到加快系统的过渡时间和增强系统的速度跟踪性能的目的,最终使设计的控制器对武器随动系统的控制效果达到其技术指标的要求。仿真结果验证了所设计的控制策略的有效性。

The conventional fuzzy logic controller is based on heuristic control with the callback speed to the overshoot being slow.Against the background of weapon servo system and fuzzy logic control,a reference model adaptive fuzzy controller is proposed to improve its control performance.The relationship between the reference model and the recursive equation of the system process is used to determine the single point output value of the adaptive fuzzy controller.Consequently,the shortcomings of the heuristic control mode in the small error range were overcome so as to accelerate the transitional time of the system and enhance the speed tracking performance of the system.Finally,the designed controller is to meet the technical requirements of the servo system of the weapon.Simulation results verify the effectiveness of the proposed control method.