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Design Of Controller Techniques And Optimization For Nonlinear Chemical Process
[Full Text]
AUTHOR(S)
Marshiana.D, Vinothkumar.C, Ramadevi. R, Ajit.G
KEYWORDS
Nonlinear Process, FOPDT, Controller Tuning, Genetic algorithm, EBFO algorithm, PSO algorithm and CSO algorithm
ABSTRACT
The design of controllers in industries is a major task to control the process parameters. The main aim of the design is due to control the level of the nonlinear which is used for major chemical industrial applications. Nonlinear process considered for the study of control parameters is conical tank. To control the level in the tank conventional PI controllers are used in a closed loop system. The evolutionary algorithm is introduced in this paper for nonlinear optimization. To optimize the value of PI controller different optimization techniques are used such genetic algorithm, EBFO algorithm, PSO algorithm and CSO algorithm. Application of projected algorithms to for some standard functions and its real problem has confirmed by its capability to deal with difficult optimization problems. Simulation results can be evidence for the proposed PI controller outperforms with its optimization.
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