PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf http://irep.iium.edu.my/34112/ |
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| Summary: | Electric Power Assist Steering (EPAS) system
offers a significant potential in enhancing the driving
performance of a vehicle where the energy conserving issue is
important. In this paper, Ant Colony Optimization (ACO)
algorithm is implemented as tuning mechanism for PID
controller. The aim of this hybrid controller is to minimize
energy consumption of the EPAS system in Electric Vehicle (EV)
by minimizing the assist current supplied to the assist motor. The
ACO algorithm searching technique is applied to search for the
best gain parameters of the PID controller. The fast tuning
feature of ACO algorithm is the factor that distinguish this
hybrid method as compared to conventional trial and error
method PID controller tuning. Simulation results shows the
performance and effectiveness of using ACO algorithm for PID
tuning. |
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