当前位置: X-MOL 学术J. Vib. Control › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adaptive intelligent terminal sliding mode controller for stabilizing a chaotic plasma torch system
Journal of Vibration and Control ( IF 2.8 ) Pub Date : 2020-09-15 , DOI: 10.1177/1077546320959520
Behrooz Rezaie 1 , Safa Khari 1
Affiliation  

In this article, a novel adaptive intelligent control scheme is proposed to stabilize a chaotic nonlinear system with unknown dynamics in the presence of uncertainties and external disturbances. The proposed control scheme is a combination of terminal sliding mode, adaptive, and neural controllers. Terminal sliding mode control provides appropriate finite-time stability and robustness against uncertainties and external disturbances. A neural controller is used to provide suitable control action to eliminate chattering when the sliding surface is close to zero. For this purpose, a fuzzy module with simple rules is used to change the contributions of two neural and terminal sliding mode controllers, that is, when the sliding surface has a value around zero, the neural controller will take the control of the system to reduce chattering, and when the sliding surface is far from the zero region, the terminal sliding mode controller will control the system. Moreover, to cope with the unknown dynamics of the system, an online adaptive neural network is also used to approximate the unknown dynamics of the system. This hybrid control scheme is capable to decrease the contribution of the terminal sliding mode in the convergence region of the sliding surface which leads to the elimination of chattering. The combination of the several techniques to use the advantages of all the methods makes the proposed hybrid control scheme as an effective and practical scheme. Simulation results on a chaotic plasma torch system indicate the efficiency of the proposed control scheme in chattering elimination, high convergence, and also show the superior performance compared with the existing methods in the presence of disturbance and uncertainty.



中文翻译:

稳定等离子炬系统的自适应智能终端滑模控制器

在本文中,提出了一种新颖的自适应智能控制方案,以在存在不确定性和外部干扰的情况下稳定具有未知动力学的混沌非线性系统。所提出的控制方案是终端滑模,自适应和神经控制器的组合。终端滑模控制可提供适当的有限时间稳定性和鲁棒性,以应对不确定性和外部干扰。当滑动表面接近于零时,使用神经控制器来提供适当的控制动作以消除抖动。为此,使用具有简单规则的模糊模块来更改两个神经和终端滑模控制器的作用,即,当滑动表面的值约为零时,神经控制器将控制系统以减小不休 当滑动表面远离零区域时,终端滑动模式控制器将控制系统。此外,为了应对系统的未知动态,在线自适应神经网络也用于近似系统的未知动态。该混合控制方案能够减小终端滑动模式在滑动表面的会聚区域中的贡献,从而消除了颤动。几种技术的结合利用了所有方法的优势,使所提出的混合控制方案成为一种有效且实用的方案。在混沌等离子炬系统上的仿真结果表明,所提出的控制方案在消除颤动,高收敛性,

更新日期:2020-09-16
down
wechat
bug