RESEARCH ON OPTIMAL CONTROL ALGORITHM FOR POWER CHARACTERISTICS SEGMENTATION OF FORAGE HARVESTER

Author:

WANG Zheng1,GONG Qingfu2,LI Fade2,GAO Ang2,REN Longlong2,SONG Yuepeng1

Affiliation:

1. Shandong Agricultural University, College of Mechanical and Electrical Engineering/ China, Shandong Provincial Engineering Laboratory of Agricultural Equipment Intelligence/ China

2. Shandong Agricultural University, College of Mechanical and Electrical Engineering/ China

Abstract

In order to improve the level of forage harvester automation and reduce damage, blockage and efficiency, based on the principle of minimum energy, fuzzy prediction theory and external characteristics of power, the mathematical model of the whole machine and each operating unit is established, and a set of forage harvester operating load adaptive feedback control system is designed; in order to make the power more scientifically and effectively distributed in real-time, the system adopts the simplified algorithm of operating unit efficacy threshold load splitting optimization control, with constant power and high efficiency. In order to make the power distribution more scientific and effective in real-time, the system adopts the simplified algorithm of operating unit efficacy threshold load splitting control to increase the load threshold of cutting and other operating units under constant power conditions, so that the operating efficiency of the whole machine can be improved. In the simulation test, the efficacy chopping load threshold ratio is about 1.08:1.01:1 for the three operation control methods of optimized control, fuzzy predictive control and PID control of the forage harvester, with 40% of the original feeding amount perturbation applied respectively. production efficiency was significantly improved.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3