论文部分内容阅读
针对飞机大机动飞行时模型非线性和参数不确定性的特点,提出一种输入状态稳定反步自适应控制的模块化设计方法.基于模块化设计思想,设计一个输入状态稳定的反步控制器,保证在输入有界情况下系统状态的有界特性.基于最小二乘算法设计参数自适应律和滤波器的辨识器模块,保证独立于输入状态稳定控制器之外的参数误差及其导数有界,并利用一种基于免疫克隆原理的改进粒了群算法优化固定参数,改善动态性能.仿真结果表明了所提出算法的有效性.
Aiming at the characteristics of non-linearity and uncertainty of parameters of aircraft during maneuvering flight, a modular design method for adaptive backstepping control of input states is proposed.Based on the modular design concept, a backstepping controller with stable input state is designed , To guarantee the bounded property of the system state under the condition of input bounded.And the parameter adaptive law and the filter identifier module are designed based on the least squares algorithm to ensure that the parameter error and its derivative except the input state stable controller And use an improved particle-based algorithm based on immune cloning principle to optimize the fixed parameters to improve the dynamic performance.The simulation results show the effectiveness of the proposed algorithm.