Imprecise Computation Based Real-time Fault Tolerant implementation for Model Predictive Control

Imprecise Computation Based Real-time Fault Tolerant implementation for Model Predictive Control

Model predictive control （MPC） could not be deployed in real-time control systems for its computation time is not well defined. A real-time fault tolerant implementation algorithm based on imprecise computation is proposed for MPC, according to the solving process of quadratic programming （QP） probl...

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Veröffentlicht in:Dong Hua da xue xue bao. Zi ran ke xue ban. 2006-02, Vol.23 (1), p.148-150
1. Verfasser: 周平方 谢剑英
Format: Artikel
Sprache:eng
Schlagworte:
不精确估计
实时控制
故障容错
模型预测控制
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creator 周平方 谢剑英
description Model predictive control （MPC） could not be deployed in real-time control systems for its computation time is not well defined. A real-time fault tolerant implementation algorithm based on imprecise computation is proposed for MPC, according to the solving process of quadratic programming （QP） problem. In this algorithm, system stability is guaranteed even when computation resource is not enough to finish optimization completely. By this kind of graceful degradation, the behavior of real-time control systems is still predictable and determinate. The algorithm is demonstrated by experiments on servomotor, and the simulation results show its effectiveness.
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subjects 不精确估计
实时控制
故障容错
模型预测控制
title Imprecise Computation Based Real-time Fault Tolerant implementation for Model Predictive Control
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