Title :
A fuzzy CMAC for AC servo system
Author :
Wei, Sun ; Lujin, Zhang ; Cong, Wang ; Yaonan, Wang
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha
Abstract :
A fuzzy cerebellar model articulation controller (FCMAC) is presented for controlling AC servo system to improve both global stability and performance. The controller introduces fuzzy theory into traditional cerebellar model articulation controller (CMAC) to fuzzify the state quantization way and the relationships between input states and hypercubes. This reflects the characteristics of human cerebellum learning and can reduce memory size greatly. The proposed FCMAC is applied on AC servo control and compared with a traditional CMAC. The simulation results show that the proposed control is effective and yields superior performance.
Keywords :
cerebellar model arithmetic computers; fuzzy control; servomechanisms; stability; AC servo system; fuzzy CMAC; fuzzy cerebellar model articulation controller; global stability; state quantization; Brain modeling; Control system synthesis; Fuzzy control; Fuzzy systems; Humans; Hypercubes; Quantization; Servomechanisms; Servosystems; Stability; AC servo; CMAC; Fuzzy theory;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605033