Title :
Fuzzy Neural Network Control in Automatic Transmission of Construction Vehicle
Author :
Wu, Shijing ; Lu, Hongshan
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ.
Abstract :
The control of off-line fuzzy neural network can realize the shift of multi-parameter automatic transmission in construction vehicles. The method is based on fuzzy look-up table database. The gear shifting dynamically acts according to the shift database. The database was established by training the fuzzy neural network and was save in advance. The shift schedule table is saved in the three-dimensional and extensible spatial storage structure that can realize the multi-parameter fuzzy logic rule and quick finding of shift schedule. It copes with the real-time change of vehicle´s running parameters and meet the requirement of intelligent control. The fuzzy neural network adopts error back-propagation algorithm
Keywords :
backpropagation; civil engineering computing; construction; control engineering computing; fuzzy logic; fuzzy neural nets; intelligent control; neurocontrollers; scheduling; table lookup; traffic control; vehicles; visual databases; 3D spatial storage structure; construction vehicle; error back-propagation; extensible spatial storage structure; fuzzy look-up table database; fuzzy neural network control; intelligent control; multiparameter automatic transmission; multiparameter fuzzy logic rule; off-line fuzzy neural network; shift database; shift schedule table; Automatic control; Control systems; Fuzzy control; Fuzzy neural networks; Intelligent networks; Land vehicles; Neural networks; Road vehicles; Sliding mode control; Spatial databases; Fuzzy neural network; automated transmission; control; shift; vehicle;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712814