ICTACT Journal on Soft Computing

Neeraj Jain ¹, Girish Parmar ¹, Rajeev Gupta ¹

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

Abstract

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (ISE) based performance index is used for finding the best possible value of controller parameters. Matlab software is used for designing the ball and hoop model. It is found that these swarm intelligence techniques have easy implementation & lesser settling & rise time compare to conventional methods.

Keywords

Swarm Intelligence, Ball and Hoop System, PID Controller, Integral Square Error.

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Jeetendra Agarwal ¹, Girish Parmar ¹, Rajeev Gupta ¹

Affiliations
1 Department of Electronics and Communication Engineering, Rajasthan Technical University, IN

Abstract

The water level of the U-tube steam generator (UTSG) in a nuclear power unit, which is an important process parameter, must be maintained in a safe range whether the unit is working under fixed or variable conditions. In this paper, a higher order UTSG model derived from the state equations is reduced using Balanced Truncation technique. Two controllers using Fuzzy logic and LQR techniques have been designed for the reduced UTSG model to control its water level. Comparison of these two controllers has also been shown through the simulation results. Also, a comparative analysis of the reduced order model and a previously developed UTSG model is presented by simulating both UTSG models with Fuzzy Logic and LQR techniques and the results are compared.

Keywords

Nuclear Reactor, UTSG Model, Model Order Reduction, LQR, Fuzzy Logic.

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