摘要
针对一类只有输出信号可测且非线性项含不可测状态的不确定系统,基于输入信号置换思想构建了神经网络状态观测器,结合动态面理论设计了输出反馈自适应控制方案。通过理论分析确定了控制律参数选取范围,保证了闭环控制系统所有信号半全局一致终结有界;利用遗传算法提出一种参数寻优策略,选取了最优的输入初始值和控制律参数,解决了控制冲击问题,提高了跟踪精度。
For a class of uncertain systems with only output available and nonlinearities in the presence of unmeasured state, a state ob- server based on input signal replacement is firstly established by using the neural networks, then, an output feedback adaptive control scheme is proposed by employing dynamic surface theory. The controller parameters＇ range is initially selected by theoretical analysis. It is guaranteed that all signals in the closed - loop system are semi - global uniformly ultimately bounded. Parameters optimization strate- gy is proposed by using genetic algorithm. Then the optimal initial input and controller parameters are chosen, so the problem of input impulsion is solved and tracking precision is improved.
出处
《控制工程》
CSCD
北大核心
2013年第5期948-952,共5页
Control Engineering of China
基金
国家自然科学基金项目(60904038)
基于周期自适应控制的飞行控制方法研究(60904038)
关键词
动态面控制
输出反馈
参数优化
遗传算法
dynamic surface control
output feedback
parameter optimization
genetic algorithm
