Title :
Research on Energy-Saving Control for Hydraulic Excavators Based on FNN
Author :
Xiaofeng Li;Wenguang Luo;Xu Yang;Ke Wang
Author_Institution :
Dept. of Electron. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China
Abstract :
In view of the relative backward status of the energy-saving control technology for hydraulic excavators, a control method with fuzzy neural network (shorted as FNN) is proposed. A standard model’s fuzzy neural network is used as the controller, in which the back propagation algorithm (BP algorithm) is applied. Simulation results show that the control system has good rapidity and stability, can make the pump torque track the engine torque precisely, and achieve energy-saving purpose.
Keywords :
"Fuzzy control","Fuzzy neural networks","Absorption","Torque control","Neural networks","Control systems","Power generation","Automatic control","Heat engines","Error correction"
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Print_ISBN :
978-1-4244-5001-5
DOI :
10.1109/ICMTMA.2010.214