摘要
针对如何使系统的输出量自适应地收敛并稳定于它的全局最优值并减弱系统输出颤振的问题,提出基于幅值自适应调节的简单半全局极值搜索算法,构造了平均化系统,对改进的的半全局极值搜索算法的收敛性、准确性和快速性进行了分析;仿真结果表明:基于幅值自适应调节的简单半全局极值搜索算法可搜索至全局极值,并能够有效减弱系统输出颤振,改善算法稳定性和准确性。
To solve the problem of how to drive the output of the controlled system to be adaptively stable and converge to its global optimum as well as attenuate the output chatter without the knowledge of the reference trajectory relation of the controlled system,a kind of multi-parameter extremum seeking algorithm with amplitude tuned adaptively is proposed,which improves the system performance.The paper constructs the averaged system and proves the convergence,accuracy and rapidity of algorithm.And the simulation of the example system is implemented.The simulation results demonstrate that the extremum seeking algorithm with mplitude tuned adaptively can drive the output of the controlled system to be adaptively stable and converge to its global optimum,attenuate state chatter,and improve stability and accuracy of algorithm.
出处
《兵器装备工程学报》
CAS
2017年第10期117-121,共5页
Journal of Ordnance Equipment Engineering
关键词
幅值自适应
极值搜索算法
输出颤振
amplitude tuned adaptively
extremum seeking algorithm
output chatter
作者简介
李海燕（1979-），女，副教授，主要从事光电技术研究。
