Observing the effect of Particle Swarm Optimization Algorithm Based PID Controller


Akash Maitra,Arnob Senapati,Souvik Chatterjee,Bodhisatwa Bhattacharya,Abhishek Kumar Kashyap,Binanda Kishore Mondal,Sudipta Ghosh,




Particle Swarm Optimization (PSO),Evolutionary Computation Method,PID (Proportional-Integral-Derivative) controller,Ziegler-Nichols tuning method,


Observing the effect of PSO algorithm on the PID (Proportional-Integral-Derivative) controller is an advanced approach for getting a stable and linear response of any system. From few decades conventional PID tuning rules are used for analyzing any complex system. But these rules did not give always a satisfactory result as our requirement. That’s why a better algorithm was introduced which is actually based on Evolutionary Computation method. This methodology provides a very high accuracy in the response in comparison with other tuning rules.From thevery past, PID controller has been very popular and is being used in maximum industries. So, there’s always a need to control the accuracy and efficiency of the controller because depending on this controller the whole industry might be functioning. If any large error occurs in the controller (PID), the functioning of the industry might be hampered. That’s why using PSO algorithm for determining the PID parameter is a good idea to get an efficient and accurate output. This approach may help in future to improve the performance of PID controller and also may help to reduce errors encountered in the industries.


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Author(s): Akash Maitra, Arnob Senapati, Souvik Chatterjee, Bodhisatwa Bhattacharya Abhishek Kumar Kashyap, Binanda Kishore Mondal, Sudipta Ghosh View Download