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Jain, Neeraj
- Performance of PID Controller of Nonlinear System Using Swarm Intelligence Techniques
Abstract Views :163 |
PDF Views:2
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.
- Performance Analysis of Artificial Bee Colony Algorithm in Spectrum Sensing for Cognitive Radio in Different Fading Channels
Abstract Views :200 |
PDF Views:0
Authors
Hina Tuteja
1,
Neeraj Jain
1
Affiliations
1 Department of Electronics and Communication Engineering, Modern Institute of Technology and Research Centre, IN
1 Department of Electronics and Communication Engineering, Modern Institute of Technology and Research Centre, IN
Source
ICTACT Journal on Soft Computing, Vol 9, No SP 2 (2019), Pagination: 1862-1866Abstract
Recently, cognitive radio (CR) is viewed as a novel approach for improving the utilization of a radio spectrum. The cognitive radio is defined as an intelligent wireless communication system that is aware of its surrounding and uses the technique of understanding-by-learning from the environment and adapt to statistical variations in the input stimuli. Spectrum sensing is a fundamental component in a cognitive radio. This paper analyses the performance of the artificial bee colony algorithm (ABC), optimization in different fading environments.Keywords
Cognitive Radio, Spectrum Sensing, Artificial Bee Colony.References
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