A Robust Interval MPC for Uncertain LPV Systems via Integral Sliding-Mode Control

被引：0

作者：

Gutierrez-Martinez, Susana V. ^{[1
,3
]}

Rios, Hector ^{[1
,2
]}

Mera, Manuel ^{[4
]}

Raissi, Tarek ^{[5
]}

Efimov, Denis ^{[6
,7
]}

机构：

[1] Tecnol Nacl Mexico, IT La Laguna, Torreon 27000, Coahuila, Mexico

[2] CONAHCYT IxM, Cdmx 03940, Mexico

[3] Univ Autonoma Nuevo Leon, Fac Ingn Mecan & Elect, San Nicolas De Los Garza 66451, Nuevo Leon, Mexico

[4] Inst Politecn Nacl, Sect Grad Studies & Res, ESIME UPT, Cdmx 07340, Mexico

[5] Conservatoire Natl Arts & Metiers CNAM, Cedr 292,Rue St Martin, F-75141 Paris, France

[6] Univ Lille, CNRS, Inria, CRISTAL,UMR 9189, F-59000 Lille, France

[7] Informat Technol Mech & Opt Univ, Dept Control Syst & Informat, St Petersburg 197101, Russia

来源：

2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年

关键词：

LPV Systems; Sliding-Mode Control; Constrained System; PREDICTIVE CONTROL; STABILIZATION; DESIGN;

D O I：

10.1109/CDC49753.2023.1038397

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the design of a robust control strategy for linear parameter-varying (LPV) systems. The proposed strategy involves the design of a robust control law based on an integral sliding-mode control (ISMC) approach with an interval predictor-based state feedback controller and a Model Predictive Control (MPC) scheme. The proposed controller is robust to some external disturbances and parameter uncertainties, and deals with state and input constraints. The integral sliding-mode compensates for matched perturbations starting from the initial moment, i.e., ensuring the sliding-mode from the initial time instance. Then, the interval predictorbased state feedback controller and the MPC deal with the state and input constraints. The proposed strategy guarantees the exponential stability of the system. Furthermore, the simulation results show high performance of the proposed controller.

引用

页码：7899 / 7904

页数：6

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