Modeling and simulation of SRM DTC control based on RBF Neural Network and Fuzzy Adaptive PID Controller

Autor:	Yuesheng Ling, Ruipeng Xue, Nuan Zuo, Wenmei Huang, Guiying Song
Rok vydání:	2014
Předmět:	Modeling and simulation Nonlinear system Hardware_MEMORYSTRUCTURES Artificial neural network Computer science Control theory Control system Computation Control (management) PID controller Control engineering State (computer science)
Zdroj:	2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific).
DOI:	10.1109/itec-ap.2014.6941265
Popis:	In the conventional DTC system of SRM, due to the defects of complex computation cause time delay and the SRM are nonlinear, variable structures, RBF Neural Network (RBFNN) and Fuzzy Adaptive PID Controller are applied to DTC control system of SRM in the paper. Conventional state selector is replaced by RBFNN; fuzzy adaptive PID controller is used to adjust speed. The simulations show that the new system performance better.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8b0def477271051b05461ac7dd6e2a62 https://doi.org/10.1109/itec-ap.2014.6941265 Zobrazit plný text záznamu