Swarm intelligence algorithms for integrated optimization of piezoelectric actuator and sensor placement and feedback gains

Dutta, Rajdeep and Ganguli, Ranjan and Mani, V (2011) Swarm intelligence algorithms for integrated optimization of piezoelectric actuator and sensor placement and feedback gains. In: Smart Materials and Structures, 20 (10).

PDF Sma_Mat_Str_20-10_2011.pdf - Published Version Restricted to Registered users only Download (691kB) | Request a copy

Abstract

Swarm intelligence algorithms are applied for optimal control of flexible smart structures bonded with piezoelectric actuators and sensors. The optimal locations of actuators/sensors and feedback gain are obtained by maximizing the energy dissipated by the feedback control system. We provide a mathematical proof that this system is uncontrollable if the actuators and sensors are placed at the nodal points of the mode shapes. The optimal locations of actuators/sensors and feedback gain represent a constrained non-linear optimization problem. This problem is converted to an unconstrained optimization problem by using penalty functions. Two swarm intelligence algorithms, namely, Artificial bee colony (ABC) and glowworm swarm optimization (GSO) algorithms, are considered to obtain the optimal solution. In earlier published research, a cantilever beam with one and two collocated actuator(s)/sensor(s) was considered and the numerical results were obtained by using genetic algorithm and gradient based optimization methods. We consider the same problem and present the results obtained by using the swarm intelligence algorithms ABC and GSO. An extension of this cantilever beam problem with five collocated actuators/sensors is considered and the numerical results obtained by using the ABC and GSO algorithms are presented. The effect of increasing the number of design variables (locations of actuators and sensors and gain) on the optimization process is investigated. It is shown that the ABC and GSO algorithms are robust and are good choices for the optimization of smart structures.

Item Type:	Journal Article
Publication:	Smart Materials and Structures
Publisher:	IOP Publishing ltd
Additional Information:	Copyright of this article belongs to IOP Publishing ltd.
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	07 Dec 2011 06:49
Last Modified:	07 Dec 2011 06:49
URI:	http://eprints.iisc.ac.in/id/eprint/42540

Actions (login required)

View Item