Design of Hybrid Fault Tolerance Control for LPV System

Authors

  • R. Latha Assistant Professor, PSG College of Technology, Coimbatore, Tamil Nadu, India
  • J. Kanakaraj Associate Professor, PSG College of Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.24297/jac.v12i21.63

Keywords:

Fault Tolerant Control(FTC), Artificial Neural Network(ANN), Model Reference Adaptive control(MRAC), Linear Parameter Varying System.

Abstract

Modern technological devices rely on sophisticated control systems to meet increased performance requirements. For such systems, the consequences of faults in system components can be catastrophic. Therefore it is necessary to design control systems which are capable of tolerating potential faults in the systems to obtain the desired performance. The paper presents the approach for fault tolerant control (FTC) based on model reference control (MRAC) with artificial neural network (ANN) controller to analyze the ability of coupled tank linear parameter varying (LPV) system to accommodate the faults. The performance of the proposed FTC scheme is tested using a Coupled-Tank system which is used as a test bed with two different types of faults with different magnitudes and with different operating points. From the simulation results it has been proved that the proposed controller is fault tolerant and makes the system to achieve quick steady state stability against the various types of faults.

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Author Biographies

R. Latha, Assistant Professor, PSG College of Technology, Coimbatore, Tamil Nadu, India

Department of Instrumentation and Control Engineering,

J. Kanakaraj, Associate Professor, PSG College of Technology, Coimbatore, Tamil Nadu, India

Department of Electrical and Electronics Engineering,

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Published

2016-12-14

How to Cite

Latha, R., & Kanakaraj, J. (2016). Design of Hybrid Fault Tolerance Control for LPV System. JOURNAL OF ADVANCES IN CHEMISTRY, 12(21), 5292–5298. https://doi.org/10.24297/jac.v12i21.63

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Articles