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Gupta, Rajeev
- Performance of PID Controller of Nonlinear System Using Swarm Intelligence Techniques
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Authors
Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, IN
1 Department of Electronics Engineering, Rajasthan Technical University, IN
Source
ICTACT Journal on Soft Computing, Vol 6, No 4 (2016), Pagination: 1314-1318Abstract
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.- Reduced Order Model of U-Tube Steam Generator and Application of Fuzzy and LQR in its Level Control
Abstract Views :187 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Rajasthan Technical University, IN
1 Department of Electronics and Communication Engineering, Rajasthan Technical University, IN
Source
ICTACT Journal on Soft Computing, Vol 6, No 3 (2016), Pagination: 1192-1197Abstract
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.- Design Fractional Order PIλDμ Controller for CSTR using TLBO Optimization Algorithm
Abstract Views :669 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics Engineering, Rajasthan Technical University, IN
1 Department of Electronics Engineering, Rajasthan Technical University, IN
Source
ICTACT Journal on Soft Computing, Vol 9, No 4 (2019), Pagination: 1967-1973Abstract
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
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