吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (2): 217-221.

Previous Articles     Next Articles

Application of fuzzy theory in electronic control system of hydraulic excavator for energy-saving

GUO Xiang-en, ZHAO Ding-xuan, SHANG Tao, ZHANG Hong-yan   

  1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
  • Received:2003-11-25 Online:2004-04-01

Abstract: In the light of significant energy losing during the hydraulic excavator working, a dynamic system was made up from the diesel engine,the variable pump,the control valve and the load to cut down the losing energy from a systematic approach based on the control characteristics of the system elements.An electronic fuzzy control scheme for energy saving was presented.Taking advantage of the good points of the fuzzy control adjusting the flow rate of the pump according to the variation of the external load by fuzzy inference,the energy saving of the excavator is accomplished without the help of the modelling of its whole complex system.

Key words: hydraulic excavator, energy-saving, fuzzy control

CLC Number: 

  • U270.1
[1] 黄宗益.液压挖掘机分工况控制[J].建筑机械,1998(1):28-32.
[2] 王晨,应富强.液压挖掘机的智能化节能控制策略[J].浙江工业大学学报,2000,28(2):108-111.
[3] 金立生,赵丁选,黄海东.液压挖掘机节能用PID专家控制系统[J].吉林工业大学自然科学学报,2001,31(4):12-16.
[4] 张玉川.进口液压挖掘机国产化改造[M].成都:西南交通大学出版社,1999.
[5] 高峰,高宇,冯培恩.挖掘机载荷自适应节能控制策略[J].同济大学学报,2001,29(9):1036-1040.
[6] 冯培恩,高峰,高宇.液压挖掘机节能控制方案的组合优化[J].农业机械学报,2002,33(4):5-7.
[7] 王士同.神经模糊系统及其应用[M].北京:北京航空航天大学出版社,1998.
[8] 张智星,孙春在.神经-模糊和软计算[M].西安:西安交通大学出版社,2000.
[1] LIU Han-guang, WANG Guo-qiang, MENG Dong-ge, ZHAO Huan-yu. Reasonable pre-tension research of crawler traveling gear of hydraulic excavator [J]. 吉林大学学报(工学版), 2018, 48(2): 486-491.
[2] WANG Li, LIU Xin-hui, WANG Xin, CHEN Jin-shi, LIANG Yi-jie. Shifting strategy of digital hydraulic transmission system for wheel loader [J]. 吉林大学学报(工学版), 2017, 47(3): 819-826.
[3] WANG Wei, WANG Qing-nian, TIAN Yong-jun, WANG Ren-guang, WEN Quan. Control strategy for compound power slit hybrid electric bus based on fuzzy control [J]. 吉林大学学报(工学版), 2017, 47(2): 337-343.
[4] PENG Bei, GAO Yu, FENG Pei-en, QIU Qing-ying. Energy-saving technology in rotary starting process of hydraulic excavator [J]. 吉林大学学报(工学版), 2016, 46(6): 1912-1921.
[5] NIE Hai-tao, LONG Ke-hui, MA Jun, ZHANG Lei, MA Xi-qiang. Face recognition based on fast scale invariant feature transform algorithm and fuzzy control [J]. 吉林大学学报(工学版), 2016, 46(2): 549-555.
[6] QIU Qing-ying, WEI Zhen-kai, GAO Yu, FENG Pei-en, YIN Peng-long. Fatigue analysis method of working devices of hydraulic excavator [J]. 吉林大学学报(工学版), 2016, 46(1): 159-165.
[7] MA Xu-hui, LIU Xiao-ming, ZHANG Jin-jin. Oversaturated intersection traffic signal control method considering bus priority [J]. 吉林大学学报(工学版), 2015, 45(3): 748-754.
[8] CHEN Jie, MO Wei. Adaptive fuzzy sliding mode control for crawler-type mobile manipulators [J]. 吉林大学学报(工学版), 2015, 45(3): 892-898.
[9] DONG Bing,TIAN Yan-tao,ZHOU Chang-jiu. Fuzzy logic-based optimal control method for energy management of pure electric vehicle [J]. 吉林大学学报(工学版), 2015, 45(2): 516-525.
[10] HU Dong-hai, HE Ren, GU Xiao-dan. Optimal energy-saving design of structural parameter of eddy current retarder [J]. 吉林大学学报(工学版), 2014, 44(5): 1253-1257.
[11] ZHAO Ding-xuan, ZHANG Zhi-wen, LI Tian-yu, ZHANG Min, DONG Yan, LAN Hao. Fuzzy logic control strategy of parallel hybrid power loader [J]. 吉林大学学报(工学版), 2014, 44(4): 1004-1009.
[12] HAN Kyong-won, TIAN Yan-tao, KONG Yong-su, ZHANG Ying-hui, LI Jin-song. Adaptive decoupled sliding mode control for the ball and plate system [J]. 吉林大学学报(工学版), 2014, 44(3): 718-725.
[13] YE Jin-hua,LI Di,YE Feng. Dual reinforcement learning adaptive fuzzy control of wheeled mobile robot [J]. 吉林大学学报(工学版), 2014, 44(3): 742-749.
[14] WANG Qing-nian, WANG Jun, CHEN Hui-yong, ZENG Xiao-hua, TANG Xian-zhi. Accelerating and braking intention identification in hybrid vehicle [J]. 吉林大学学报(工学版), 2014, 44(2): 281-286.
[15] LI Jing, YU Chun-xian. Vehicle chassis integrated control system based on fuzzy and PID [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 509-513.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!