Aiming at the problem that the draft-position integrated tillage depth control method with fixed comprehensive coefficient of tractor electro-hydraulic hitch system is difficult to adapt to the working environment wit...Aiming at the problem that the draft-position integrated tillage depth control method with fixed comprehensive coefficient of tractor electro-hydraulic hitch system is difficult to adapt to the working environment with large changes in soil conditions,a tractor draft-position integrated tillage depth control method with variable comprehensive coefficient was proposed.A comprehensive coefficient control scheme based on traction resistance was designed and its working principle was clarified.Aiming at the time-varying tillage depth control system,a tillage depth control algorithm based on the sliding mode control with a differential observer was designed.In order to verify the performance of the control scheme,a control system simulation model and a bench test platform were built,and the performance was compared with the draft-position integrated control method with a fixed comprehensive coefficient of 0.5.The results showed that the variable comprehensive coefficient tillage depth control method can automatically adjust the comprehensive coefficient according to the change of soil conditions,and has higher traction efficiency.In the small resistance range,it can better ensure the quality of operation;in the large resistance range,it can ensure the engine performance and protect the tractor from damage.This method is more adaptable to the complex field operation environment,which provides a reference for the research of tillage depth control method.展开更多
The automatic and intelligent degree of tractor hitch system determines the operations quality,efficiency,tractor power output and energy consumption,and automatic control of electro-hydraulic hitch is one of the key ...The automatic and intelligent degree of tractor hitch system determines the operations quality,efficiency,tractor power output and energy consumption,and automatic control of electro-hydraulic hitch is one of the key technical problems in the realization of automated tractor.In this study,the adjustment methods and characteristics of electro-hydraulic hitch system were summarized.The development of electro-hydraulic hitch control technologies was elaborated and analyzed from both the electro-hydraulic control strategy and slip control strategy perspectives.The implementation methods and control characteristics were discussed.A new idea for the development of automated tractor was put forward that integrating cutting-edge technologies such as big data,fusion control and artificial intelligence.In addition,based on the precise and efficient control of electro-hydraulic hitch system,a high reliability of the control system of the tractor with intelligent application of the control algorithm was obtained.The results can provide a reference for the precise operation of automated tractors under the big data in agriculture.展开更多
基金National Key Research and Development Plan of China(Grant No.2022YFD2001202)The Open Project of the State Key Laboratory of Intelligent Agricultural Power Equipment(SKLIAPE2023019)The Postgraduate Research and Practice Innovation Program of Jiangsu Province,China(Grant No.KYCX22_0716).
文摘Aiming at the problem that the draft-position integrated tillage depth control method with fixed comprehensive coefficient of tractor electro-hydraulic hitch system is difficult to adapt to the working environment with large changes in soil conditions,a tractor draft-position integrated tillage depth control method with variable comprehensive coefficient was proposed.A comprehensive coefficient control scheme based on traction resistance was designed and its working principle was clarified.Aiming at the time-varying tillage depth control system,a tillage depth control algorithm based on the sliding mode control with a differential observer was designed.In order to verify the performance of the control scheme,a control system simulation model and a bench test platform were built,and the performance was compared with the draft-position integrated control method with a fixed comprehensive coefficient of 0.5.The results showed that the variable comprehensive coefficient tillage depth control method can automatically adjust the comprehensive coefficient according to the change of soil conditions,and has higher traction efficiency.In the small resistance range,it can better ensure the quality of operation;in the large resistance range,it can ensure the engine performance and protect the tractor from damage.This method is more adaptable to the complex field operation environment,which provides a reference for the research of tillage depth control method.
基金This work was financially supported by the Thirteen Fifth National Key Research and Development Program of China(Grant No.2016YFD0700102)National Natural Science Foundation of China(Grant No.31801783),and China Scholarship Council.
文摘The automatic and intelligent degree of tractor hitch system determines the operations quality,efficiency,tractor power output and energy consumption,and automatic control of electro-hydraulic hitch is one of the key technical problems in the realization of automated tractor.In this study,the adjustment methods and characteristics of electro-hydraulic hitch system were summarized.The development of electro-hydraulic hitch control technologies was elaborated and analyzed from both the electro-hydraulic control strategy and slip control strategy perspectives.The implementation methods and control characteristics were discussed.A new idea for the development of automated tractor was put forward that integrating cutting-edge technologies such as big data,fusion control and artificial intelligence.In addition,based on the precise and efficient control of electro-hydraulic hitch system,a high reliability of the control system of the tractor with intelligent application of the control algorithm was obtained.The results can provide a reference for the precise operation of automated tractors under the big data in agriculture.
