• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (1): 99-106.doi: 10.3901/JME.2018.01.099

• 特邀专栏:硬岩掘进装备(TBM)的关键基础问题 • 上一篇    下一篇

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基于转矩预测的混合动力挖掘机控制策略

赵鹏宇, 陈英龙, 周华, 杨华勇   

  1. 浙江大学流体动力与机电系统国家重点实验室 杭州 310027
  • 收稿日期:2017-01-15 修回日期:2017-05-24 出版日期:2018-01-05 发布日期:2018-01-05
  • 通讯作者: 周华(通信作者),男,1968年出生,教授,博士研究生导师。主要研究方向为流体传动与控制。E-mail:hzhou@sfp.zju.edu.cn
  • 作者简介:赵鹏宇,男,1990年出生,博士研究生。主要研究方向为流体传动与控制。E-mail:zpy@zju.edu.cn
  • 基金资助:
    国家重点基础研究发展计划(973计划,2013CB035400)和浙江省重点科技创新团队自主设计(2013TD01)资助项目。

Control Strategy of Hybrid Excavator Based on Torque Prediction

ZHAO Pengyu, CHEN Yinglong, ZHOU Hua, YANG Huayong   

  1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027
  • Received:2017-01-15 Revised:2017-05-24 Online:2018-01-05 Published:2018-01-05

摘要: 针对油液混合动力挖掘机燃油效率偏低、能量损失较大等问题,提出一种基于转矩预测的油液混合动力挖掘机动态规划控制策略。分析挖掘机工况循环的负载特性;确定进行需求转矩预测所需的最小样本长度;利用经验模态分解对挖掘机需求转矩曲线进行周期分割,并得到下一周期的预测转矩;提出基于动态规划算法的控制策略。通过仿真分析可知,利用该控制策略可使发动机最大输出转矩下降28.9%,燃油消耗量降低32.5%,同时将蓄能器压力维持在设定范围内。

关键词: 动态规划, 混合动力, 控制策略, 挖掘机, 转矩预测

Abstract: During the passing decades, even though great progress has been made in hydraulic hybrid excavators with the development of hydraulic hybrid technology, there are still some shortages remained to be solved. For instance, the fuel efficiency is still low and the energy loss is huge. Concerning these issues, a kind of dynamic programming control strategy based on torque prediction, which is suitable for hydraulic hybrid excavators, is proposed. The excavator driving system is a closed hydraulic system comprised by displacement pump and cylinder. The power supply is consisted by engine and displacement pump/motor connected with accumulator, which work as main drive element and auxiliary driving device, respectively. And the driving system can be classified into parallel hydraulic hybrid system. The load characteristics of cyclic operating conditions of excavators are analyzed. The minimum length of sample to forecast demand torque is determined. The demand torque curve is divided periodically based on empirical mode decomposition and the predictive torque is obtained. The dynamic programming control strategy based on torque prediction is proposed. According to the simulation result, the maximum output torque of engine can be reduced by 28.9%, and the fuel consumption can be reduced by 32.5% compared with the condition without control strategy. In addition, the pressure of accumulator can maintain the setting range.

Key words: control strategy, dynamic programming, excavator, hybrid, torque prediction

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