利用 PSO 算法设计用于稳定倒立摆-小车系统的分数 MOIF 和 MOPIF 控制器

Fatima Cheballah, R. Mellah, Abdelhakim Saim
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摘要

本文的主题是基于线性整数阶系统的状态反馈,设计两种分数阶方案。在第一种方案中,状态反馈与分数阶积分()控制器相关联。在第二种结构中,状态反馈与分数阶比例积分()控制器相关联。有了这些控制器,由状态方程描述的带有状态反馈的闭环系统就会分裂成 n 个具有不同分数阶状态变量导数的子系统。为了找到控制器()和()的最优参数值,使用了多目标粒子群优化算法,并将绝对误差积分、过冲和 Buslowicz 稳定性准则作为目标函数。将多目标积分分数阶控制器和多目标比例积分分数阶控制器用于稳定倒立摆-小车系统(IP-C),并将它们的性能与分数阶控制器进行了比较。这些创新控制器的仿真结果还与传统的比例积分派生控制器和分数阶比例积分派生控制器的仿真结果进行了比较。考虑到 IP-C 系统的非线性模型,通过模拟运行研究了所提出的控制器对干扰的鲁棒性。仿真和实验结果表明,我们的方法不仅高效,而且具有显著的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of fractional MOIF and MOPIF controller using PSO algorithm for the stabilization of an inverted pendulum‐cart system
The topic of this paper is the design of two fractional order schemes, based on a state feedback for linear integer order system. In the first one of the state feedback is associated with a fractional order integral () controller. In the second structure the state feedback is associated with a fractional order proportional integral () controller. With such controllers, the closed loop system with state feedback described by the state equations splits in n‐subsystems with different fractional orders derivatives of the state variable. In order to find the optimal parameters value of both controllers () and (), a multi‐objective particle swarm optimization algorithm is used, with the integral of absolute error, the overshoot , the Buslowicz stability criterion are considered as objective functions. The multi‐objective integral fractional order controller and the multi‐objective proportional integral fractional order controller are applied to stabilize the inverted pendulum‐cart system (IP‐C), and their performance is compared to the fractional order controller. The simulation results of these innovative controllers are also compared with those obtained by conventional proportional–integral–derivative and fractional order proportional–integral–derivative controllers. The robustness of the proposed controllers against disturbances is investigated through simulation runs, considering the non‐linear model of the IP‐C system. The obtained results demonstrate that our approach not only leads to high effectiveness but also showcases remarkable robustness, supported by both simulation and experimental results.
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