Abstract

Aim of this study is to present two optimal methods for adjusting parameters of PID controllers using Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms to achieve the desired goal intended for application of these controllers. Through adding intelligent techniques to the SA algorithm, it will lead to a higher speed and the reduction of the error in the PID controller. Available rules for setting PID parameters are commonly trial and error which involve various issues like being very time consuming, imprecise and facing a significant number of errors. Using performance measurement criteria and integrating them, an attainable method has been presented for setting these parameters which has a very high accuracy as wells as a significant speed, with a very low rate of error. Results obtained in this research demonstrate a considerable efficiency compared with that of other proposed methodologies.

Keywords:

Modified SA algorithm, PID controller, PSO,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.