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Intelligent decoupled controller for mobile inverted pendulum real-time implementation

机译:用于移动倒摆实时实现的智能解耦控制器

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摘要

In this work, an intelligent decoupled backstepping control system (IDBCS) is proposed for mobile inverted pendulums (MIPs) real-time control. This control system combined with adaptive output recurrent cerebellar model articulation controller (AORCMAC) and H-infinity control theory. The AORCMAC is designed to imitate an ideal backstepping controller, and the H-infinity controller is used to mitigate the effect of the approximation errors and outer disturbances. The decoupled method provides an easy way to achieve asymptotic stability control for a fourth-order nonlinear mobile inverted pendulum system. The concept of the decoupled approach is to decouple the whole system into two subsystems such that each subsystem has an individual control target. Then, the secondary subsystem provides information for the main subsystem, which generates a control action to make both subsystems move to their targets, respectively. In other words, it means that a fourth-order MIP system can be controlled well based on a second-order dynamic model. Moreover, all the adaptation laws of the IDBCS are obtained based on Lyapunov stability criterion, Taylor linearization technique and H-infinity control technique, so that the stability of the system can be guaranteed. Experiment results show that the MIP can stand stably when it moves toward a given position.
机译:该文提出一种用于移动倒摆(MIPs)实时控制的智能解耦后步控制系统(IDBCS)。该控制系统结合了自适应输出递归小脑模型发音控制器(AORCMAC)和H-infinity控制理论。AORCMAC旨在模仿理想的后步控制器,而H-infinity控制器则用于减轻近似误差和外部干扰的影响。该解耦方法为实现四阶非线性移动倒摆系统的渐近稳定性控制提供了一种简便的方法。解耦方法的概念是将整个系统解耦为两个子系统,使得每个子系统都有一个单独的控制目标。然后,辅助子系统为主子系统提供信息,主子系统生成控制操作,使两个子系统分别移动到其目标。换言之,这意味着基于二阶动态模型,可以很好地控制四阶MIP系统。此外,基于李雅普诺夫稳定性准则、泰勒线性化技术和H-无穷大控制技术,得到了IDBCS的所有适应规律,从而保证了系统的稳定性。实验结果表明,当MIP向给定位置移动时,MIP可以稳定站立。

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