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An adaptive swing-up sliding mode controller design for a real inverted pendulum system based on Culture-Bees algorithm

机译:基于Culture-Bees算法的真实倒立摆系统自适应上扬滑模控制器设计

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This paper presents a new design and implementation of an adaptive swing-up control algorithm for a real inverted pendulum system. The main core of the control algorithm is a sliding mode technique with the Lyapunov stability method. The goal of the proposed adaptive swing-up controller is to get the optimal force control action for the inverted pendulum in the real-time in order to precisely and quickly swing the pendulum up to the inverted position. An on-line auto-tuning hybrid intelligent algorithm based on Culture-Bees algorithms is carried out as a stable and robust algorithm to obtain and adjust the control parameters for the proposed controller. To eliminate the chattering effect of the fast switching surface, the sigmoid function is used as a Signum function for reducing the amplitude of the output function. The numerical simulation results in MATLAB and the experimental work in LabVIEW illustrate the improved performance of the adaptive swing-up controller in terms of robust performance and adaptation effectiveness that minimized the pendulum angle error to a zero value and obtained the best force control action for the pendulum cart, in addition to reducing the fitness evaluation number. These results were confirmed by a comparative study with different nonlinear controller types. (C) 2018 European Control Association. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种用于实际倒立摆系统的自适应摆起控制算法的新设计和实现。控制算法的主要核心是采用Lyapunov稳定性方法的滑模技术。所提出的自适应摆动控制器的目的是实时获得针对倒立摆的最佳力控制作用,以便精确且快速地将摆摆向上摆动到倒立位置。作为一种稳定和鲁棒的算法,基于Culture-Bees算法的在线自动调谐混合智能算法被获得并调整了所提出的控制器的控制参数。为了消除快速切换表面的颤动效果,将S形函数用作Signum函数,以减小输出函数的幅度。 MATLAB的数值模拟结果和LabVIEW中的实验工作从鲁棒性能和自适应有效性的角度说明了自适应摆起控制器的改进性能,该性能将摆角误差最小化为零,并获得了最佳的力控制作用。摆式推车,除了减少健身评估次数。这些结果通过不同非线性控制器类型的比较研究得到了证实。 (C)2018欧洲控制协会。由Elsevier Ltd.出版。保留所有权利。

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