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出 处:《计算机仿真》2012年第2期40-44,共5页Computer Simulation
摘 要:在飞机防滑优化控制问题的研究中,存在飞机防滑刹车系统响应速度慢、抗干扰能力差等问题。由于飞机着陆时发动机处在慢速工作状态,防滑系统处于复杂的非线性过程。为提高刹车效率,提出将遗传算法优化的模糊控制应用到飞机防滑刹车系统中。采用遗传算法对采用"串联二进制编码"的隶属函数参数进行联合优化,并将优化过的控制规则用于设计模糊控制器。将设计的控制器和刹车系统模型在Simulink环境下进行数字仿真。仿真结果表明,遗传算法的模糊PID控制,在飞机防滑刹车控制中,具有良好的控制效果和抗干扰能力,为防滑刹车系统控制设计提供了一条新的手段。Aircraft anti - skid braking system based on conventional PID control strategy has low converging speed and low ability of anti - jamming. Aiming at these problems, a new optimal strategy of fuzzy control based on genetic algorithm was presented to apply in the aircraft anti - skid braking system. Parameters of member functions were encoded through binary coding method, and then integrated optimization was carried out by using Genetic Algorithm. The optimized rules were adopted to design fuzzy controller. Then the fuzzy PID controlling model of the proposed system was verified with Simulink. The results of the simulation demonstrate that the fuzzy PID control can achieve an ideal control effect, has strong ability of anti - jamming in aircraft anti - skid braking system, and provides a new way for controlling anti - skid braking system.
关 键 词:飞机防滑刹车 滑移律 模糊比例-积分-微分控制器 系统仿真
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