alexa HARDWARE IMPLEMENTATION OF MODEL PREDICTIVE CONTROL BASED FUZZY LOGIC CONTROLLER FOR TEMPERATURE PROCESS STATION
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article

HARDWARE IMPLEMENTATION OF MODEL PREDICTIVE CONTROL BASED FUZZY LOGIC CONTROLLER FOR TEMPERATURE PROCESS STATION

T.Rajesh1, P.Thirumurugan1, M.Saravana balaji2
  1. Assistant Professor, Department of Electronics & Instrumentation Engineering, J.J. College of Engineering & Technology, Trichy, Tamil Nadu, India
  2. Assistant Professor, Department of Electronics & Instrumentation Engineering, MAM College of Engineering, Trichy, Tamil Nadu, India
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Abstract

In this paper, Model based Predictive Control (MPC) and fuzzy logic controller (FLC) for temperature process station was proposed. This controller design gives an optimum performance even under process disturbances. Conventional controllers like P, PI, and PID controllers fail to control the process effectively under disturbances, conventionally accurate model of the process and complex algorithms are needed to design the self tuning of PID controller. Here an attempt was made to implement MPC based FLC which does not involves developing any complicated model and the usage of complex algorithms. FLC and MPC were designed to provide a timely control action ensuring optimum performance from the controller and the proposed controller hardware design was implemented to control the temperature process efficiently.

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