A new fitness function for tuning parameters of Peripheral Integral Derivative Controllers

In recent years, the need for greater effectiveness and efficiency in industrial processes and procedures has made control system engineering a favored area of scientific investigation, especially the proper tuning of the parameters of Peripheral Integral Derivative (PID) Controllers. This paper critically examines some issues with the present fitness functions being used by different researchers involved in metaheuristic tuning of PID Controllers. It concludes with the introduction of a fitness function called the Inverse Integrated Squared Absolute Error whose experimental outcome using the African Buffalo Optimization algorithm was able to obtain zero (0) steady state error, zero (0) overshoot, 1.77 s rise time and 2.87 s steady time which is quite competitive. The paper opines that further appropriate investigations of the metaheuristic tuning of PID Controllers using this latest fitness function are highly recommended since it is very simple to both implement and use. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences.

Automated summary

In recent years, control system engineering has become increasingly important in industrial processes. This paper critically examines the fitness functions used for metaheuristic tuning of PID controllers and introduces a new fitness function with experimental evidence of its effectiveness. The paper suggests further research on the application of this fitness function due to its simplicity and ease of use.