Optimizing TRMS stability: a multi-objective genetic algorithm approach to PID controller design

Purpose This paper aims to enhance the stability and control of twin rotor multi-input multi-output system (TRMS) helicopters by introducing a novel approach that utilizes a multi-objective genetic algorithm (MOGA) for optimizing proportional, integral, derivative (PID) controllers in simultaneous pitch and yaw motions. Design/methodology/approach The TRMS, a common prototype for helicopter motion studies, is introduced, and a PID controller is designed for pitch and yaw stabilization. The gains of the PID controller are optimized using a MOGA, a technique not previously proposed for TRMS in the literature. Findings While various controllers have been explored in literature for TRMS stabilization, a MOGA-optimized PID controller for TRMS has not been proposed before. Simultaneous optimization of both pitch and yaw motions using two PID controllers is expected to yield improved robustness. Research limitations/implications The study focuses on simulations, and experimental validation is not conducted. The MOGA is introduced as an optimization technique, and future studies may explore its application in experimental settings. Originality/value This study introduces a novel approach by utilizing a MOGA to optimize PID controller gains for TRMS. Simultaneous optimization of pitch and yaw motions aims to enhance robustness, providing a unique contribution to the field of helicopter control.