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Dynamic engagement characteristics of wet clutch based on hydro-mechanical continuously variable transmission 被引量:10
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作者 ZHAO Jing XIAO Mao-hua +1 位作者 petr bartos Andrea BOHATA 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第5期1377-1389,共13页
The effect of the design parameter on the clutch engagement process of the hydro-mechanical continuously variable transmission(CVT)was investigated.First,the model of the power train was developed with the software of... The effect of the design parameter on the clutch engagement process of the hydro-mechanical continuously variable transmission(CVT)was investigated.First,the model of the power train was developed with the software of SimulationX,and the clutch shift experiment was used to validate the correctness of the model.Then,the friction coefficient function was fitted with the test data to get the friction coefficient model suitable for this paper.Finally,based on the evaluating index of the friction torque and the friction power,two groups of design parameters(oil pressure and friction coefficient)were simulated and explained the changing regulation theoretically.According to the simulation results,the high oil pressure and friction coefficient can reduce the slipping time.The large oil pressure can increase the peak torque but the effect of friction coefficient on the peak torque is not so significant.The friction power reaches the maximum value at 3.2 s,the peak value increases as the oil pressure and friction coefficient increase.The effect of the oil pressure on the clutch engagement and thermal performance is greater than the friction coefficient. 展开更多
关键词 wet clutch friction heat friction torque friction power
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基于CS-BP神经网络的巡检机器人位移补偿方法研究 被引量:2
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作者 王星辰 潘伟 +3 位作者 周立春 侯英勇 petr bartos 肖茂华 《智能化农业装备学报(中英文)》 2022年第2期53-63,共11页
智能巡检机器人沿着固定轨迹进行巡检工作时所产生的位移误差会不断地增加,从而偏离既定的巡检路线。因此,提出一种基于CS-BP神经网络的位移补偿方法,利用布谷鸟搜索算法对BP神经网络的权值与阈值进行优化,得到性能最为优异的神经网络... 智能巡检机器人沿着固定轨迹进行巡检工作时所产生的位移误差会不断地增加,从而偏离既定的巡检路线。因此,提出一种基于CS-BP神经网络的位移补偿方法,利用布谷鸟搜索算法对BP神经网络的权值与阈值进行优化,得到性能最为优异的神经网络结构。试验表明,理论位移曲线乘以通过神经网络输出的位移补偿系数后得到的补偿后的位移曲线与实际位移曲线更加接近,其位移误差远远小于未经补偿的理论位移曲线,试验结果在58.8s时,经过CS-BP神经网络补偿后输出的位移与实际位移能够维持在3cm左右的偏差。该位移补偿具有可行性,能够有效缓解智能巡检机器人的运动路径偏离巡检路线的问题。 展开更多
关键词 智能巡检机器人 BP神经网络 布谷鸟搜索算法 位移补偿
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Design and experiment of fuzzy-PID based tillage depth control system for a self-propelled electric tiller 被引量:3
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作者 Maohua Xiao Ye Ma +4 位作者 Chen Wang Junyun Chen Yejun Zhu petr bartos Guosheng Geng 《International Journal of Agricultural and Biological Engineering》 SCIE 2023年第4期116-125,共10页
The research on the self-propelled electric tiller is vital for further improving the quality and efficiency of greenhouse rotary tillage operation,reducing the work intensity and operation risk of operators,and achie... The research on the self-propelled electric tiller is vital for further improving the quality and efficiency of greenhouse rotary tillage operation,reducing the work intensity and operation risk of operators,and achieving environmentally friendly characteristics.Most of the existing self-propelled tillers rely on manual adjustment of the tillage depth.Moreover,the consistency and stability of the tillage depth are difficult to guarantee.In this study,the automatic control method of tillage depth of a self-propelled electric tiller is investigated.A method of applying the fuzzy PID(Proportional Integral Derivative)control method to the tillage depth adjustment system of a tiller is also proposed to realize automatic control.The system uses the real-time detection of the resistance sensor and angle sensor.The controller runs the electronically controlled hydraulic system to adjust the force and position comprehensively.The fuzzy control algorithm is used in the operation error control to realize the double-parameter control of the tillage depth.The simulation and experimental verification of the system are conducted.Results show that the control system applying fuzzy PID can improve the soil breaking rate by 3%in the operation process based on reducing the stability variation of tillage depth by 24%.The control strategy can reach the set value of tillage depth quickly and accurately.It can also meet the requirement of tillage depth consistency during the operation. 展开更多
关键词 Fuzzy PID Self-propelled electric tiller Tillage depth Electro-controlled hydraulic system Comprehensive adjustment of force and position
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