Genetically‐bacterial swarm optimization: Fuzzy pre‐compensated PD control of two‐link rigid‐flexible manipulator
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 24 August 2010
Abstract
Purpose
The purpose of this paper is to propose a novel algorithm which hybridizes the best features of three basic algorithms, i.e. genetic algorithm, bacterial foraging, and particle swarm optimization (PSO) as genetically bacterial swarm optimization (GBSO). The implementation of GBSO is illustrated by designing the fuzzy pre‐compensated PD (FPPD) control for two‐link rigid‐flexible manipulator.
Design/methodology/approach
The hybridization is carried out in two phases; first, the diversity in searching the optimal solution is increased using selection, crossover, and mutation operators. Second, the search direction vector is optimized using PSO to enhance the convergence rate of the fitness function in achieving the optimality. The FPPD controller design objective was to tune the PD controller constants, normalization, and denormalization factors for both the joints so that integral square error, overshoots, and undershoots are minimized.
Findings
The proposed algorithm is tested on a set of mathematical functions which are then compared with the basic algorithms. The results showed that the GBSO had a convergence rate better than the other algorithms, reaching to the optimal solution. Also, an approach of using fuzzy pre‐compensator in reducing the overshoots and undershoots for loading‐unloading and circular trajectories had been successfully achieved over simple PD controller. The results presented emphasize that a satisfactory tracking precision could be achieved using hybrid FPPD controller with GBSO.
Originality/value
Simulation results were reported and the proposed algorithm indeed has established superiority over the basic algorithms with respect to set of functions considered and it can easily be extended for other global optimization problems. The proposed FPPD controller tuning approach is interesting for the design of controllers for inherently unstable high‐order systems.
Keywords
Citation
Jain, T., Alavandar, S., Vivekkumar Radhamohan, S. and Nigam, M.J. (2010), "Genetically‐bacterial swarm optimization: Fuzzy pre‐compensated PD control of two‐link rigid‐flexible manipulator", International Journal of Intelligent Computing and Cybernetics, Vol. 3 No. 3, pp. 463-494. https://doi.org/10.1108/17563781011066738
Publisher
:Emerald Group Publishing Limited
Copyright © 2010, Emerald Group Publishing Limited