Artificial Intelligent Systems and Machine Learning

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IMC Based Controller Design Non-Linear Conical Tank System


Affiliations
1 Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
2 Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
     

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The aim of this paper is to implement optimum controller for a conical tank. The objective of the controller is to maintain the level inside the process tank in a desired value. Hence an attempt is made in this paper as Internal Model Based PID controller design for conical tank level control. For each stable operating point, a first order process model was identified using process reaction curve method. The real time implementation is done in simulink using MATLAB. The experimental results shows that proposed control scheme have good set point tracking and disturbance rejection capability.


Keywords

Mathematical Model, PID Controller, IMC, MATLAB Simulink.
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  • IMC Based Controller Design Non-Linear Conical Tank System

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Authors

S. Dinesh
Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
S. Preteep
Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
P. Sridhar
Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
M. Suresh
Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India
G. Saravanakumar
Department of Instrumentation and Control Engineering, Tamilnadu College of Engineering, Coimbatore, India

Abstract


The aim of this paper is to implement optimum controller for a conical tank. The objective of the controller is to maintain the level inside the process tank in a desired value. Hence an attempt is made in this paper as Internal Model Based PID controller design for conical tank level control. For each stable operating point, a first order process model was identified using process reaction curve method. The real time implementation is done in simulink using MATLAB. The experimental results shows that proposed control scheme have good set point tracking and disturbance rejection capability.


Keywords


Mathematical Model, PID Controller, IMC, MATLAB Simulink.

References