MODELING AND CONTROL OF TEMPERATURE PROCESS USING GENETIC ALGORITHM
|N.NithyaRani1, Dr.S.M.GirirajKumar2, Dr.N.Anantharaman3
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In process control industries, automatic controllers are introduced. The PID (Proportional-Integral- Derivative) controller is the most widely used industrial controller. Here the tuning of PID controller is done using Ziegler-Nichols II method. For the multi variable process, non-linear process and for the chemical industries the IMC (Internal Model Control) controller is used. The need for improved performance of the process has led to the development of robust and optimal controllers. Genetic Algorithms (GA) is an evolutionary algorithm that is proposed for use in this respect. Genetic algorithms (GA) is an optimization technique for searching very large spaces that models the role of the genetic material in living organisms.. The modeling of the physical system are presented using different control tuning techniques and applied for the regulation of the temperature process. The structure of the models has been implanting using MATLAB simulink. Determination or tuning of the Proportional-Integral (PI) parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. The efficiency of proposed method are compared with that of Internal Model Control (IMC) and proves to be better in the performance index.