周期变异免疫克隆算法在压电悬臂梁振动控制中的应用研究

Vibration Control of Piezoelectric Cantilever Beam Based on Cyclic Mutation Immune Clone Algorithm

文章首先建立了悬臂梁的振动数学模型和控制传递函数模型,在此基础上设计了基于周期性变异概率免疫克隆优化的控制算法。该算法避免了精确计算系统参数的繁琐工作,改进了悬臂梁主动振动抑振的控制律设计方法,实现了悬臂梁主动抑振的自学习控制,并构建了压电智能悬臂梁的实验系统。通过对比实验表明:文中所提出的算法收敛速度高、控制效果好,并且能够通过学习自动调整控制参数,使用方便。

In this paper, the mathematical vibration model and the control transfer function model of a cantilever beam are established, and then a new immune clone algorithm with cycle mutation is designed. The algorithm can avoid a lot of cumbersome work about precise calculation of system parameters, improve the control of active vibration suppression of the cantilever beam, and realize learning control. Finally, the experimental system of piezoelectric intelligent cantilever beam is constructed. According to comparative experiments, the algorithm which is designed in this paper has capabilities of faster convergence speed, better control effect, and automatic adjustment of the control parameters through self-learning; it is also convenient in practice.