IIUM Repository

Ant colony optimization for controller and sensor-actuator location in active vibration control

Md Nor, Khairul Affendy and Abdul Muthalif, Asan Gani and Wahid, Azni N. (2013) Ant colony optimization for controller and sensor-actuator location in active vibration control. In: International Conference on Modern Trends in Science, Engineering and Technology 2013 (ICMTSET 2013), 25-26 Sept 2013 , Dubai , UAE.

[img] PDF (Ant Colony Optimization for Controller and Sensor-actuator Location in Active Vibration Control) - Published Version
Restricted to Repository staff only

Download (768kB) | Request a copy
Official URL: http://icmtset.com/

Abstract

Most of engineering structures are made of simple beams and plates, and these types of structures are easily influenced and excited by external vibration. Piezoelectric material has been a popular choice of sensor and actuator to attenuate vibration actively in flexible structures and numerous techniques of optimal control and actuator placement had been proposed. The main focus of this paper is to find the optimal location of the collocated sensor-actuator and controller gains to actively control vibration, using a swarm intelligent algorithm called Ant Colony Optimization (ACO) and verified with Genetic Algorithm (GA). A benchmark model of a simply supported plate with attached piezoelectric patches is taken to demonstrate this study. Analytical model of the simply supported plate with piezoelectric patches is derived using thin plate theory.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 3352/34275
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Ir. Ts. Dr Asan Gani Abdul Muthalif
Date Deposited: 15 Jan 2014 16:32
Last Modified: 15 Jan 2014 16:32
URI: http://irep.iium.edu.my/id/eprint/34275

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year