Abstract

Considering sensor faults for a thermoelectric cooler actuated by Peltier devices, this work proposes an operator-based robust nonlinear fault tolerant controller (FTC) integrated with early fault detection using a support vector machine (SVM). Firstly, a physical model is formulated based on the law of heat transfer, and the estimated model is derived based on Volterra identification. Then, an operator-based robust nonlinear control system is employed to compensate for uncertainties and to eliminate the effects of coupling. Furthermore, FTC integrated with SVM-based early fault detection is designed to improve the safety performance in the case of sensor faults. The simulation results indicate that SVM-based fault detection can shorten the detection time in comparison to the conventional method without the SVM classier. The experiment results are utilized to verify the tracking performance of the proposed FTC method in the case study.

Highlights

  • Thermoelectric technology has been growing rapidly with increasing significance, and it requires precise temperature regulation for the physical, chemical, and biotechnological reaction, using the relevant heating/cooling technique

  • Kawahata et al [17] extended the MIMO microreactor considering the compensation of uncertainties and the elimination of interference, achieving nonlinear cooling control based on operator theory and fault tolerant control when switching the close feedback loop

  • The main contribution of this paper is to propose a fault tolerant controller integrated with support vector machine (SVM)-based early detection for multiple sensor faults

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Summary

Introduction

Thermoelectric technology has been growing rapidly with increasing significance, and it requires precise temperature regulation for the physical, chemical, and biotechnological reaction, using the relevant heating/cooling technique. The research focuses on operator-based design methods In this approach, some open problems using the existing results, such as robust filtering, dynamic environment analysis, adaptive control, and predictive control, need to be considered [5,6]. Kawahata et al [17] extended the MIMO microreactor considering the compensation of uncertainties and the elimination of interference, achieving nonlinear cooling control based on operator theory and fault tolerant control when switching the close feedback loop. If the detecting scheme finds a fault, the fault tolerant control is switched by an operator, and the employed control is based on Volterra identification, where an operator-based robust nonlinear control system is designed to compensate for uncertainties and to eliminate the coupling effect.

Operator Theory
Volterra Identification
Support Vector Machine
Modeling of Microreactor System
Modeling of Tube
The Estimated Model by Volterra Identification
SVM-Based Early Fault Detection
Fault Tolerant Control System
Experimental Tests

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