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基于遗传算法的拖拉机动力换挡过程动态控制方法
孙冬野, 陈旭东, 李宝刚, 杨彪
重庆大学 机械传动国家重点实验室, 重庆 400044
摘要:
拖拉机重负荷作业时,发动机处于全油门工作且换挡过程中发动机在调速段扭矩变化较大,导致换挡过程中离合器接合时产生扭矩突变。为了解决这一问题,提出离合器同步阶段油压控制方法,在充分考虑拖拉机作业特征和动力换挡品质的要求后,以车速变化量、冲击度及滑摩功等为评价指标,采用遗传算法对拖拉机动力换挡过程进行了分析设计,结果表明,换挡过程各项指标均在标准之内。
关键词:  拖拉机动力换挡  控制方法  遗传算法
DOI:10.11835/j.issn.1000-582X.2019.08.001
分类号:U462.31
基金项目:国家自然科学基金资助项目(51875055)和国家重点研发计划资助项目(2016YFD0701100)。
Dynamic control method of tractor powershift process based on genetic algorithm
SUN Dongye, CHEN Xudong, LI Baogang, YANG Biao
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China
Abstract:
When the tractor is under heavy-duty operation, the engine is operating at full throttle and in speed regulation the torque of the engine will change during the shifting process, causing sudden change of torque when clutch engages. Aiming at the solution of the problem of shifting gears under complex operation, the oil pressure control method of clutch synchronnization phase is proposed. The tractor's operating characteristics and power shift quality requirements are fully taken into account and the changes of vehicle speed, impact degree and sliding friction work are used as evaluation indicators. The genetic algorithm is used to analyze and design the power shift process of the tractor. The results show that all indicators of gear shifting process come up to the standard and the control method is correct and feasible.
Key words:  tractor power shifting  control methods  genetic algorithms
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