Model Predictive Sliding Mode Control for a Class of Affine Nonlinear Systems

Khadidja Saoudi, E. Bdirina, Kamel GUESMI
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引用次数: 0

Abstract

In this paper, a nonlinear robust control technique is proposed for a class of affine nonlinear systems. This technique tries to increase tracking control performance by combining the benefits of sliding mode control (SMC) with model predictive control (MPC), for a class of nonlinear systems, in terms of smooth control law, a zero steady-state error, a faster convergence rate, and more robustness for the closed-loop system against external disturbances and model uncertainties. Furthermore, this paper provides a comparative study with the previously mentioned control methods. The controllers SMC and Model Predictive Sliding Mode Control (MPSMC) have been tested in simulation under Matlab/Simulink environment. Simulations are carried out on a nonlinear affine benchmark to evaluate the suggested technique and demonstrate its efficacy in achieving the required control performances.
一类仿射非线性系统的模型预测滑模控制
针对一类仿射非线性系统,提出了一种非线性鲁棒控制方法。该技术试图通过将滑模控制(SMC)与模型预测控制(MPC)的优点结合起来,提高跟踪控制性能,对于一类非线性系统,在平滑控制律方面,零稳态误差,更快的收敛速度,以及闭环系统对外部干扰和模型不确定性的鲁棒性。并与上述控制方法进行了对比研究。在Matlab/Simulink环境下对控制器SMC和模型预测滑模控制(MPSMC)进行了仿真测试。在非线性仿射基准上进行了仿真,以评估所提出的技术,并证明其在实现所需控制性能方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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