Genetic Algorithm Optimisation for Fuzzy Control of Wheelchair Lifting and Balancing

In this paper, an optimisation technique is adopted to manipulate the input and output scaling of a fuzzy logic controller for lifting the front wheels of a wheelchair and stabilizing the wheelchair in two-wheeled mode. A virtual wheelchair (WC) model is developed within Visual Nastran (VN) software...

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Bibliographic Details
Published in:2009 Third UKSim European Symposium on Computer Modeling and Simulation pp. 97 - 101
Main Authors: Ahmad, S., Tokhi, M.O., Toha, S.F.
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2009
Subjects:
double inverted
Fuzzy control
Fuzzy logic
fuzzy logic control
genetic algorithm
Genetic algorithms
Mathematical model
nonlinear system
Optical wavelength conversion
Payloads
pendulum
Stability
Thumb
wheelchair
Wheelchairs
Wheels
ISBN:9781424453450, 1424453453
Online Access:Get full text
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Summary:In this paper, an optimisation technique is adopted to manipulate the input and output scaling of a fuzzy logic controller for lifting the front wheels of a wheelchair and stabilizing the wheelchair in two-wheeled mode. A virtual wheelchair (WC) model is developed within Visual Nastran (VN) software environment where the model is further linked with Matlab/Simulink for control purposes. The lifting of the chair is done by transforming the first link, attached to the front wheels (casters) to the upright position while maintaining stability of the second link where the payload is attached. General rules of thumb allow heuristic tuning of the parameters but a proper optimisation mechanism will perform better. Genetic algorithm is used to control the two-wheeled wheelchair and results show that the optimised parameters give better system performance.
ISBN:9781424453450
1424453453
DOI:10.1109/EMS.2009.115