Title :
Optimisation of valve timing events of internal combustion engines with particle swarm optimisation
Author :
Ratnaweera, Asanga ; Watson, Harry C. ; Halgamuge, Saman K.
Author_Institution :
Dept. of Mech. & Manuf. Eng., Melbourne Univ., Vic., Australia
Abstract :
The best combination of valve timing events along with three dominant engine operating parameters was observed for optimum performance of an internal combustion spark ignition (ICSI) engine with particle swarm optimisation (PSO) method. A thermodynamics engine simulation programme is considered to evaluate the fitness of each individual. Engine power output and the thermal efficiency are considered for the optimisation independently. Seven engine operating parameters, including all the major valve timing events, are used as inputs with engine knock limit and the maximum valve lift=10 mm as constraints. Five different engine load conditions are considered. All the simulations were carried out at the engine speed of 1500 rev/min. Further, the performance of particle swarm optimisation was compared with the performance of genetic algorithms (GA).
Keywords :
genetic algorithms; internal combustion engines; thermodynamics; valves; engine operating parameters; genetic algorithm; internal combustion engine; particle swarm optimization; thermodynamics engine simulation programme; valve timing events; Control systems; Force control; Genetics; Internal combustion engines; Manufacturing; Particle swarm optimization; Predictive models; Sparks; Timing; Valves;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299390