DocumentCode :
2276293
Title :
A novel PSO-based hybrid PV-FC-Diesel-Battery electric PID-controller drive system for electric vehicle traction
Author :
Sharaf, Adel M. ; El-Gammal, Adel A A
Author_Institution :
Centre for Energy Studies, Univ. of Trinidad & Tobago, Couva, Trinidad and Tobago
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a novel PID self regulating tri loop controller for a hybrid PV-FC-Diesel-Battery powered all-wheel drive electric vehicle using four Permanent Magnet DC (PMDC) motors, which are modeled to include existing nonlinearities in motor plus load inertia (J) and viscous friction (B). A Tri Loop dynamic error driven scheme is based on Multi Objective Particle Swarm Optimization MOPSO and proposed to regulate motor current against high inrush currents and motor overloading conditions, in addition to motor speed dynamic reference tracking. The Proposed tri loop dynamic error driven PID self tuned controller is also used to ensure energy efficiency, control loop decoupling, stability and system efficient utilization while maintaining full speed tracking capability. The integrated scheme is fully stabilized using a novel FACTS based green filter compensators developed by First Author that ensures stabilized DC bus voltage, minimal inrush current conditions, and damped load excursions.
Keywords :
DC motor drives; diesel engines; electric current control; fuel cell vehicles; hybrid electric vehicles; machine control; particle swarm optimisation; photovoltaic cells; secondary cells; three-term control; traction; FACTS; PID self tuned controller; PSO; all wheel drive electric vehicle; control loop decoupling; electric vehicle traction; energy efficiency; full speed tracking; green filter compensator; hybrid PV-FC-diesel-battery electric PID-controller drive system; motor current regulation; motor speed dynamic reference tracking; multi objective particle swarm optimization; permanent magnet DC motor; system efficient utilization; triloop controller; triloop dynamic error; DC motors; Heuristic algorithms; Particle swarm optimization; Permanent magnet motors; Transient analysis; Vehicle dynamics; Voltage control; Backup Battery; Diesel-driven generator; E-V Electric Vehicles; Fuel Cell; Green Power Filter; Multi Objective Particle Swarm Optimization MOPSO; Photo Voltaic PV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power and Energy Conference (EPEC), 2010 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4244-8186-6
Type :
conf
DOI :
10.1109/EPEC.2010.5697207
Filename :
5697207
Link To Document :
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