Adaptive intelligent terminal sliding mode controller for stabilizing a chaotic plasma torch system

Abstract

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.

Analysis on Network Information Security Protection Technology of Intelligent Terminal Power Monitoring System of Substation under the Support of Multimodal Multimedia Information

“…Between the enterprise production management area and the information management area, the enterprise should set the special level of unilateral safety isolation equipment through the relevant national safety inspection and certifcation. Te isolation compressive strength can only be achieved through one-way data transmission [11]. Te security area in the control area must use the network frewall and the same facilities with key management function system for logical isolation.…”

An Augmented Sliding Mode Control for Fixed-Wing UAVs with External Disturbances and Model Uncertainties

“…The RBFNN observer is tailored to counterbalance the unknown nonlinear terms, and its capacity to approximate continuous functions with arbitrary accuracy has been demonstrated in previous studies [34]. Compared with deep neural networks, the RBFNN is capable of expediting learning and avoiding local minimum values, thus making it suitable for real-time control requirements.…”

Decentralized observer‐based integral sliding mode control design of large‐scale interconnected systems and its application to doubly fed induction generator‐based wind farm model

“…Moreover, an ISMC‐based control scheme has been proposed by the authors in Reference 23 for investigation of nonlinear singular systems with Markovian jumping parameters. Moreover, in References 24 and 25, novel intelligent integral terminal SMC approach has been proposed for controlling chaos in rod‐type plasma torch systems with disturbance and unstructured uncertainty, where a neuro‐fuzzy approach has utilized the approximate unknown term of the addressed nonlinear systems. Through numerical results, the authors show the effectiveness of the proposed SMC with an adaptive neuro‐fuzzy inference system.…”