采用粒子群算法作为自立倒立摆的稳定和跟踪控制器

M. I. Solihin, W. Akmeliawati, Rini Akmeliawati
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引用次数: 21

摘要

本文的主要目的是利用智能粒子群算法设计一种状态反馈控制器,用于自立倒立摆的稳定与跟踪控制。这是由于传统的反馈控制设计采用极点放置法或线性二次调节器(LQR)方法,通过Riccati方程进行设计时必须面对试错方法。仿真结果表明了该方法的有效性。在自立倒立摆系统中,所提出的状态反馈控制器与摆起控制器协同工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-erecting inverted pendulum employing PSO for stabilizing and tracking controller
The main objective of this paper is to design a state feedback controller for stabilizing and tracking control of self-erecting inverted pendulum employing intelligent method using particle swarm optimization (PSO). This is motivated by the fact that one has to face trial and error approach in conventional feedback control design by pole placement method or linear quadratic regulator (LQR) method via Riccati equation. The simulation results show the effectiveness of the proposed method. The proposed state feedback controller works jointly with swing-up controller in the self-erecting inverted pendulum system.
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