An Approach of Optimising S-curve Trajectory for a Better Energy Consumption

Fadi Assad, E. Rushforth, Mus'ab H. Ahmad, B. Ahmad, R. Harrison
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引用次数: 3

Abstract

In today's manufacturing industry, higher productivity and sustainability should go hand-in-hand. This practice is motivated by governmental regulations as well as customers' awareness. For the current time, one of the inexpensive solutions is motion planning for an improved energy consumption. This paper introduces a general approach that is valid for testing and optimising energy consumption of the input motion profile. The Particle Swarm Optimisation method (PSO) is used because of its mathematical simplicity and quick convergence. Being commonly used, s-curve motion profile is reconstructed and optimised for a better energy consumption. The results show potential energy reduction and better positioning for the system configured according to the optimised s-curve.
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一种优化s曲线轨迹的节能方法
在今天的制造业中,更高的生产率和可持续性应该齐头并进。这种做法的动机是政府的规定和客户的意识。目前,一个廉价的解决方案是运动规划,以改善能源消耗。本文介绍了一种测试和优化输入运动轮廓能耗的通用方法。粒子群算法具有数学简单、收敛速度快等优点。s曲线运动轮廓是一种常用的运动轮廓重构和优化方法,以获得更好的能耗。结果表明,根据优化后的s曲线配置的系统能降低势能,定位效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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