ICTACT Journal on Soft Computing

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Design Fractional Order PIλDμ Controller for CSTR using TLBO Optimization Algorithm


Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, India
     

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Optimization techniques serve as significantly easier yet one of the best methods to tune PID controllers. Response of these techniques are unforeseeable and usually vary on the basis of different parameters. Fractional order controllers provide a more accurate control in comparison to traditional PID controllers. This paper deals with the Concentration control of an Isothermal CSTR using FOPID Controller, for which a comparative study of a newly developed algorithm, teaching learning based optimization (TLBO) algorithm with the very popular Particle swarm optimization (PSO) algorithm is performed. Both PSO and TLBO are population based algorithms where PSO was inspired by behavior of animal groups while TLBO got inspiration from the idea of learning of a group of students and the effect of teacher on them. A comparative analysis of different Performance Indices is also provided.

Keywords

CSTR, FOPID Controller, Particle Swarm Optimisation, Teaching Learning Based Optimization.
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  • Design Fractional Order PIλDμ Controller for CSTR using TLBO Optimization Algorithm

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Authors

Mohit Soni
Department of Electronics Engineering, Rajasthan Technical University, India
Sapna Gupta
Department of Electronics Engineering, Rajasthan Technical University, India
Rajeev Gupta
Department of Electronics Engineering, Rajasthan Technical University, India

Abstract


Optimization techniques serve as significantly easier yet one of the best methods to tune PID controllers. Response of these techniques are unforeseeable and usually vary on the basis of different parameters. Fractional order controllers provide a more accurate control in comparison to traditional PID controllers. This paper deals with the Concentration control of an Isothermal CSTR using FOPID Controller, for which a comparative study of a newly developed algorithm, teaching learning based optimization (TLBO) algorithm with the very popular Particle swarm optimization (PSO) algorithm is performed. Both PSO and TLBO are population based algorithms where PSO was inspired by behavior of animal groups while TLBO got inspiration from the idea of learning of a group of students and the effect of teacher on them. A comparative analysis of different Performance Indices is also provided.

Keywords


CSTR, FOPID Controller, Particle Swarm Optimisation, Teaching Learning Based Optimization.

References