Realization of a Motion Control IC for X-Y Table Based on Novel FPGA Technology

被引:44
作者
Kung, Ying-Shieh [1 ]
Fung, Rong-Fong [2 ,3 ]
Tai, Ting-Yu [1 ]
机构
[1] So Taiwan Univ, Dept Elect Engn, Tainan 710, Taiwan
[2] Natl Kaohsiung First Univ Sci & Technol, Dept Mech & Automat Engn, Kaohsiung 824, Taiwan
[3] Natl Kaohsiung First Univ Sci & Technol, Grad Inst Electroopt Engn, Kaohsiung 824, Taiwan
关键词
AC motor drives; field-programmable gate arrays (FPGAs); fuzzy control; motion control; SLIDING-MODE CONTROL; FUZZY; IMPLEMENTATION; SYSTEMS;
D O I
10.1109/TIE.2008.2005667
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
The novel field-programmable-gate-array (FPGA) technology is able to combine an embedded processor and an application intellectual property to be a system-on-a-programmable-chip developing environment. Therefore, this paper presents a motion control IC for the X-Y table under this novel FPGA technology. The proposed motion control IC has two modules. One module performs the functions of the motion trajectory and two position/speed controllers for the X-Y table. The other module performs the functions of two current vector controllers of permanent-magnet synchronous motor drives. The former is implemented by software using a Nios H embedded processor due to the complicated control algorithm and low-sampling-frequency control (motion trajectory and position control: less than 1 kHz). The latter is implemented by hardware in the FPGA owing to the requirements of high-sampling-frequency control (current loop: 16 kHz; PWM circuit: 4-8 MHz) but simple computation. As a result, the hardware/software codesign technology, can make the motion controller of the X-Y table more compact, flexible, perform better, and less costly.
引用
收藏
页码:43 / 53
页数:11
相关论文
共 18 条
[1]
Accurate contour control of mechatronic servo systems using Gaussian networks [J].
Goto, S ;
Nakamura, M ;
Kyura, N .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1996, 43 (04) :469-476
[2]
System-on-a-programmable-chip development platforms in the classroom [J].
Hall, TS ;
Hamblen, JO .
IEEE TRANSACTIONS ON EDUCATION, 2004, 47 (04) :502-507
[3]
Hanafi D, 2003, IEEE ASME INT C ADV, P1188
[4]
Hardware implementation of a real-time neural network controller with a DSP and an FPGA for nonlinear systems [J].
Jung, Seul ;
Kim, Sung su .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2007, 54 (01) :265-271
[5]
FPGA-based speed control IC for PMSM drive with adaptive fuzzy control [J].
Kung, Ying-Shieh ;
Tsai, Ming-Hung .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2007, 22 (06) :2476-2486
[6]
Kung YS, 2004, 2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, CONFERENCE PROCEEDINGS, P329
[7]
KUNG YS, 2006, P IEEE INT C IND TEC, P2913
[8]
LIAW CM, 1999, FUZZY THEORY SYSTEMS, V1, P129
[9]
Robust fuzzy neural network sliding-mode control for two-axis motion control system [J].
Lin, Faa-Jeng ;
Shen, Po-Hung .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (04) :1209-1225
[10]
FPGA-based fuzzy sliding-mode control for a linear induction motor drive [J].
Lin, FJ ;
Wang, DH ;
Huang, PK .
IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 2005, 152 (05) :1137-1148