首页> 外文会议>Evolutionary Computation, 2003. CEC '03. The 2003 Congress on >Optimisation of valve timing events of internal combustion engines with particle swarm optimisation
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Optimisation of valve timing events of internal combustion engines with particle swarm optimisation

机译:利用粒子群算法优化内燃机的气门正时事件

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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).
机译:观察到气门正时事件与三个主要发动机运行参数的最佳组合,以采用粒子群优化(PSO)方法实现内燃机火花点火(ICSI)发动机的最佳性能。考虑使用热力学引擎模拟程序来评估每个人的适应性。发动机功率输出和热效率被独立考虑用于优化。七个发动机运行参数(包括所有主要的气门正时事件)用作输入,以发动机爆震极限和最大气门升程= 10 mm为约束。考虑了五种不同的发动机负载条件。所有模拟都是在1500转/分钟的发动机转速下进行的。此外,将粒子群优化的性能与遗传算法(GA)的性能进行了比较。

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