Title
A novel stable deviation quantum-behaved particle swarm optimization to optimal piezoelectric actuator and sensor location for active vibration control
Abstract
In this article, a novel stable deviation quantum-behaved particle swarm optimization for solving global optimization problem is presented. The proposed stable deviation quantum-behaved particle swarm optimization algorithm uses interpolation and stable deviation function. The method of recombination operator is employed to generate a new solution vector in the search space. Therefore, the chance of fast converging can be improved. The performance of the proposed stable deviation quantum-behaved particle swarm optimization algorithm is compared with a quantum-behaved particle swarm optimization and a quantum-behaved particle swarm optimization with quadratic interpolation recombination operator, which is an advanced variant of quantum-behaved particle swarm optimization. Finally, the proposed stable deviation quantum-behaved particle swarm optimization algorithm is applied to constrained optimal piezoelectric actuator and sensor location for active vibration control of a simply supported plate under the different periodic loads.
Year
DOI
Venue
2015
10.1177/0959651815573897
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
Keywords
Field
DocType
Particle swarm optimization,vibration control,quantum,piezoelectric
Particle swarm optimization,Piezoelectric actuators,Quantum,Vibration control,Active vibration control,Control theory,Interpolation,Multi-swarm optimization,Piezoelectricity,Physics
Journal
Volume
Issue
ISSN
229
6
0959-6518
Citations 
PageRank 
References 
1
0.35
6
Authors
2
Name
Order
Citations
PageRank
Jalal Javadi Moghaddam1323.93
Ahmad Bagheri2727.64