Direct Fuzzy CMAC Sliding Mode Trajectory Tracking for Biaxial Position System
Wei-Lung Mao,
Yu-Ying Chiu,
Bing-Hong Lin,
Wei-Cheng Sun,
Jian-Fu Tang
Affiliations
Wei-Lung Mao
Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan
Yu-Ying Chiu
Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan
Bing-Hong Lin
Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan
Wei-Cheng Sun
Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan
Jian-Fu Tang
Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
High-precision trajectory control is considered as an important factor in the performance of industrial two-axis contour motion systems. This research presents an adaptive direct fuzzy cerebellar model articulation controller (CMAC) sliding mode control (DFCMACSMC) for the precise control of the industrial XY-axis motion system. The FCMAC was utilized to approximate an ideal controller, and the weights of FCMAC were on-line tuned by the derived adaptive law based on the Lyapunov criterion. With this derivation in mind, the asymptotic stability of the developed motion system could be guaranteed. The two-axis stage system was experimentally investigated using four contours, namely, circle, bowknot, heart, and star reference contours. The experimental results indicate that the proposed DFCMACSMC method achieved the improved tracking capability, and so reveal that the DFCMACSMC scheme outperformed other schemes of the model uncertainties and cross-coupling interference.
