Title :
FPGA-based Servo Control IC for PMLSM Drives with Adaptive Fuzzy Control
Author :
Kung, Ying-Shieh ; Tsai, Ming-Hung ; Chen, Chia-Sheng
Author_Institution :
Dept. of Electr. Eng., Southern Taiwan Univ. of Technol., Tainan
Abstract :
A FPGA-based servo control IC for use in a permanent magnet linear synchronous motor (PMLSM) drive is presented in this paper. Mathematic model of the PMLSM is presented and the vector control scheme is used in the current loop of the PMLSM drive. Then, to increase the performance of the PMLSM drive, an adaptive fuzzy controller (AFC) constructed by a fuzzy basis function and a parameter adjustable mechanism is derived and applied to the position loop of PMLSM drive to cope with the dynamic uncertainty and external load effect. After that, a FPGA-based control IC is designed to realize the controllers. The FPGA-based control IC has two IPs (intellectual properties), an Nios embedded processor IP and an application IP. The Nios processor is used to perform the function of an adaptive fuzzy position controller for PMLSM drive. The application IP is used to perform the current vector control of the PMLSM drive, which includes SVPWM generation, coordinate transformation, PI controller and the pulse detection of the quadrature encoder. At last, an experimental system has been set up and some experimental results have been demonstrated
Keywords :
PI control; adaptive control; electric current control; field programmable gate arrays; fuzzy control; fuzzy set theory; linear motors; machine vector control; mathematical analysis; permanent magnet motors; position control; servomotors; synchronous motor drives; uncertain systems; FPGA-based servocontrol IC; PI controller; PMLSM drives; adaptive fuzzy position controller; current vector control; dynamic uncertainty; fuzzy basis function; intellectual properties; mathematic model; parameter adjustable mechanism; permanent magnet linear synchronous motor; quadrature encoder; vector control scheme; Adaptive control; Automatic frequency control; Fuzzy control; Machine vector control; Mathematical model; Mathematics; Programmable control; Servosystems; Synchronous motors; Uncertainty;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257185