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研究飞机降落安全控制问题,飞机降落过程是飞行中最复杂、最危险的飞行阶段。系统存在高非线性和大气环境干扰的特点,并要求较高的实时性。为提高响应特性和抗干扰能力,提出了一种新的优化CMAC-PID并行自适应控制方法,和应用在6DOF非线性飞机的降落过程的研究中。在传统CMAC-PID并行控制的基础上,对CMAC网络学习率进行了改进,实现最优学习率的自适应控制,从而有效提高了CMAC控制器的在线学习速率。并利用遗传算法对CMAC-PID并行控制中的PID参数进行了仿真,使整个控制系统得到进一步优化。利用控制方法对6DOF飞机降落过程进行了仿真分析,结果表明所设计的控制方法具有良好的动态特性和抗干扰能力。
Study aircraft landing safety control issues, the aircraft landing process is the most complex flight, the most dangerous stage of the flight. The system has the characteristics of high nonlinearity and atmospheric environment interference, and requires high real-time performance. In order to improve the response characteristics and anti-interference ability, a new CMAC-PID parallel adaptive control method is proposed and applied in the research of landing process of 6DOF non-linear aircraft. Based on the traditional CMAC-PID parallel control, CMAC network learning rate is improved to realize adaptive control of the optimal learning rate, which effectively improves the CMAC controller’s online learning rate. The genetic algorithm is used to simulate the PID parameters in parallel control of CMAC-PID, so that the whole control system is further optimized. The control method is used to simulate the landing process of 6DOF aircraft. The results show that the designed control method has good dynamic characteristics and anti-interference ability.