摘要
针对极值搜索系统在稳定状态存在可行域约束情况下的预设性能控制问题,首先利用罚函数构造新型目标函数并设计极值参考轨迹;然后,通过性能函数和误差转换函数构建系统等效模型,利用反演控制方法进行预设性能控制器设计;最后,设计不确定参数自适应估计律.系统在实现极值搜索的同时能够满足预先设定的性能指标.数值仿真验证了所提出方法的有效性.
For prescribed performance control problems of extremum seeking systems based on stable state feasible region constraint, firstly, a new objective function is constructed by using the penalty function, and the extremum reference trajectory is designed. Then, the system equivalent model is constructed by using performance functions and error transformation functions, and the prescribed performance controller is designed by backstepping control. Finally, the uncertain parameter＇s adaptive estimation law is designed. Extremum seeking is realized and the prescribed performance index is satisfied. Numerical simulation verifies the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2018年第1期157-162,共6页
Control and Decision
基金
国家自然科学基金项目(60674090)
关键词
可行域约束
极值搜索系统
不确定参数
预设性能
反演控制
feasible region constraint, extremum seeking systems： uncertain parameters： prescribed performance
backstepping control
