Fitting Membership Function with PSO Inertia Weight for Truck Backer-Upper Problem

S. Hashim, K. E. Permana
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引用次数: 2

Abstract

In this paper, optimization is utilized for fuzzy control system that automatically backs up a truck to a specified point on a loading dock. Particle Swarm Optimization with Inertia Weight (FPSOw) is used to fit the membership function of fuzzy system in searching for better decision. From the simulation conducted,it shows that the FPSOw is able to generate an optimal set of parameter for the fuzzy membership functions automatic adjustment and then the adjusted fuzzy system achieve better position for Truck Backer-Upper result.
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基于粒子群惯性权的隶属函数拟合货车后置问题
本文对货车自动倒车到装货码头指定点的模糊控制系统进行了优化设计。采用基于惯性权值的粒子群算法对模糊系统的隶属度函数进行拟合,以寻求更好的决策。仿真结果表明,FPSOw能够生成一组最优参数,对模糊隶属度函数进行自动调整,调整后的模糊系统能够获得较好的后置效果。
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