FPGA-based position tracking controller design with fuzzy wavelet neural networks
學年 99
學期 1
出版(發表)日期 2010-12-01
作品名稱 FPGA-based position tracking controller design with fuzzy wavelet neural networks
作品名稱(其他語言)
著者 Hsu, Chun-Fei; Hsu, Chia-Yu; Lee, Tsu-Tian; Lin, Chih-Min
單位 淡江大學電機工程學系
出版者 Olney: Inderscience Publishers
著錄名稱、卷期、頁數 International Journal of Advanced Mechatronic Systems 2(5/6), pp.297-305
摘要 The brushless DC (BLDC) motor has the advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environments. In this paper, an adaptive fuzzy wavelet neural control (AFWNC) system which is composed of a neural controller and a robust controller is proposed. The neural controller uses a fuzzy wavelet neural network (FWNN) to online mimic an ideal controller, and the robust controller is designed to dispel the effect of minimum approximation error introduced by the neural controller. The controller parameters tuning algorithms of the AFWNC system are derived based on the Lyapunov stability theorem and gradient decent method. Finally, the hardware implementation of the AFWNC scheme is developed on a field programmable gate array (FPGA) chip in a real-time mode. A comparison among the fuzzy sliding-mode control, the adaptive wavelet neural control and the proposed AFWNC is made. Experimental results verify that a favourable tracking response can be achieved by the proposed AFWNC method even under the change of position command frequency after training of FWNN.
關鍵字 adaptive control; neural control; BLDC motors; field programmable gate arrays; FPGA; position tracking; tracking control; controller design fuzzy control; fuzzy wavelets; neural networks; brushless DC motors; robust control
語言 en
ISSN 1756-8412
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式 紙本
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