基于粒子群算法的二速率控制器小车倒立摆系统的镇定

T. Saha, N. Murmu, S. Chakraborty, M. Maitra
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引用次数: 0

摘要

针对小车倒立摆系统的镇定问题,提出了一种基于粒子群算法的二速率控制器整定规则。在[1]中,2-Rate控制器是2-周期控制器的一个特殊子集,被设计用于实现极点和环零放置,从而与LTI对应的增益裕度(GM)相比得到改善。在[2]的工作中,采用了2-速率补偿技术来稳定推车倒立摆系统。然而,控制器的设计方法是基于试错法,整个系统的GM取决于控制器极点和环零的选择。为了形式化选择控制器极点和回路零点的适当位置的问题,本文提出了一种基于粒子群算法的方法。目标是通过一组粒子在解空间中进行高效的搜索,以找到控制器极点和环路零点的最优位置,从而产生满意的环路鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stabilization of Cart Inverted Pendulum System by 2-rate controllers based on PSO technique
This paper proposes a PSO (Particle Swarm Optimization) based tuning rule for 2-rate controllers for the stabilization of cart-inverted pendulum system. In [1] the 2-Rate controller, a special subset of 2-periodic controller, has been designed to achieve poles as well as loop-zero placement leading to an improved gain margin (GM) as compared to its LTI counterpart. In the work of [2], the 2-Rate compensation technique was employed to stabilize the cart inverted pendulum system. However, the controller design approach was based on trial and error method and the GM of the overall system depends on the choice of controller poles and loop-zeros. In order to formalize this problem of selecting the proper locations of the controller poles and loop-zeros, this paper proposes a PSO based approach. The objective is to have an efficient and effective search by a group of particles in the solution space to find out the optimal locations of the controller poles and loop-zeros that yield satisfactory loop robustness.
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