基于微粒群算法的膜片弹簧优化设计

Optimum design for the diaphragm spring with particle swarm optimization algorithm

通过对膜片弹簧优化设计目标的分析,选用在摩擦片磨损极限范围内,弹簧压紧力变化的平均值最小及驾驶员作用在分离轴承装置上的分离操纵力的平均值最小为共同优化目标,建立数学模型,应用此模型,采用微粒群算法对某轿车离合器膜片弹簧进行优化设计.结果表明,采用微粒群算法优化后得到的膜片弹簧参数值明显优于原有2种设计方案的数值.膜片弹簧优化设计过程中,微粒群算法能够得到更好的优化结果且算法收敛速度较快.

The multi-optimum design for diaphragm spring mathematics model is established, the minimum of average compress force changing of the spring within the scope of the friction slice wear and the minimum force on the separation bearings by the driver＇s manipulate are choosed as objectives. The particle swarm optimization algorithms are adopted in order to get global optimum solution. The result shows that the diaphragm spring have better non-linearity characteristic after optimum design with this method compared with two other design methods. Knowing from the design process that using particle swarm optimization algorithms the best solution can be obtained sooner.