PSO and Fuzzy Based Tuning Mechanism for Optimization of Transient Response in High-Performance Drilling Machine

Abstract

A proportional integral derivative (PID) controller is the utmost frequently used controller in industrial manufacturing hubs due to its modest structure, dynamic nature, and easy implementation. The tuning of a PID controller is a crucial task. This contemporary exercise produces the optimum tuning of a PID controller used in a high-performance drilling arrangement for monitoring the output attained to required settling time, rise time, and overshoot. The aim of this study is to achieve a stable, resolute, and controlled structure by tuning the PID controller with the help of the Particle Swarm Optimization (PSO) algorithm and fuzzy-based logic approach. The tuning of a PID controller using the conventional methods has certain limitations such as sky-scraping overshoot that can be solved by tuning the PID controller using the above mentioned amazing, intelligent techniques. This paper presents the brainy methods based on PSO and fuzzy logic, particularly for high-performance drilling machine. On the analysis of the simulation result, it is proved that the approached way has provided enhanced performance than the conventional Modified Zeigler Nichols (ZN) method in terms of rise time (tr), settling time (ts), and peak overshoot (Mp) for the mentioned target.