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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Xiaofeng Luo Wenguang Yang Xu Wang Ke |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 66 |
| Ending Page | 69 |
| File Size | 297168 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424450015 |
| e-ISBN | 9781424457397 |
| DOI | 10.1109/ICMTMA.2010.214 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | hydraulic excavator Control systems energy-saving Fuzzy control power match fuzzy neural network Absorption Torque control Neural networks Heat engines Automatic control Fuzzy neural networks Error correction Power generation |
| Content Type | Text |
| Resource Type | Article |
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