Robust fault tolerant explicit model predictive control

被引：25

作者：

Sheikhbahaei, Reza ^{[1
]}

Alasty, Aria ^{[1
]}

Vossoughi, Gholamreza ^{[1
]}

机构：

[1] Sharif Univ Technol, Sch Mech Engn, Tehran, Iran

来源：

AUTOMATICA | 2018年 / 97卷

基金：

美国国家科学基金会;

关键词：

Explicit model predictive control; Fault tolerant; Robust; Multi-parametric programming; Dynamic programming; SYSTEMS; ALGORITHM; MPC;

D O I：

10.1016/j.automatica.2018.08.013

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, a new algorithm for explicit model predictive control of linear discrete-time systems subject to linear constraints, disturbances, uncertainties, and actuator faults is developed. The algorithm is based on dynamic programming, constraint rearrangement, multi-parametric programming, and a solution combination procedure. First of all, the dynamic programming is used to recast the problem as a multi-stage optimization problem. Afterwards, the constraints are rearranged in an innovative manner to take into account the worst admissible situation of unknown bounded disturbances, uncertainties, and actuator faults. Then, the explicit solution of the reformulated optimization problem for each stage is obtained using the multi-parametric programming approaches. Finally, a recursive procedure for combination and substitution of the solutions is presented to extract the desired explicit control law. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：248 / 253

页数：6

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[2]

[Anonymous], MULTIPARAMETRIC PROG

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