Active vibration control of a horizontal flexible plate structure using intelligent proportional–integral–derivative controller tuned by fuzzy logic and artificial bee colony algorithm

M Sukri Hadi,M Osman Tokhi,Intan Z Mat Darus,Mohd Fairus Jamid

doi:10.1177/1461348419852454

Abstract

This paper presents the development of an intelligent controller for vibration suppression of a horizontal flexible plate structure using hybrid Fuzzy–proportional–integral–derivative controller tuned by Ziegler–Nichols tuning rules and intelligent proportional–integral–derivative controller tuned by artificial bee colony algorithm. Active vibration control technique was implemented during the development of the controllers. The vibration data obtained through experimental rig was used to model the system using system identification technique based on auto-regressive with exogenous input model. Next, the developed model was used in the development of an active vibration control for vibration suppression of the horizontal flexible plate system using proportional–integral–derivative controller. Two types of controllers were proposed in this paper which are the hybrid Fuzzy–proportional–integral–derivative controller and intelligent proportional–integral–derivative controller tuned by artificial bee colony algorithm. The performances of the developed controllers were assessed and validated. Proportional–integral–derivative–artificial bee colony controller achieved the highest attenuation for first mode of vibration with 47.54 dB attenuation as compared to Fuzzy–proportional–integral–derivative controller with 32.04 dB attenuation. The experimental work was then conducted for the best controller to confirm the result achieved in the simulation work.

Highlights

In the past decades, rigid structure has been used in many engineering applications to avoid unwanted vibration
The development of parametric modeling using particle swarm optimization (PSO) algorithm and active vibration control (AVC) of horizontal flexible plate system using Fuzzy–PID controller and PID controller optimized by ABC algorithm has been presented
The model was developed using parametric identification technique based on auto-regressive with exogenous input structure

Summary

Introduction

Rigid structure has been used in many engineering applications to avoid unwanted vibration. Mesyam[17] proposed an effective hybrid harmony search and cuckoo optimization algorithm-based fuzzy PID controller for load frequency control. Inspired by the success of research conducted previously, hybrid Fuzzy–PID controller and intelligent PID controller optimized by ABC algorithm are proposed in this paper. The performance of both controllers is compared in terms of attenuation level of the first mode of vibration which is the dominant mode in the system. The dynamic model of the system was developed using system identification technique utilizing particle swarm optimization (PSO) algorithm based on input–output vibration data obtained experimentally. The transfer function obtained using PSO is described in equation (1)

À 1:414zÀ1 þ 0:9931zÀ2

Findings

Conclusion