An active axis control system for a conventional CNC machine

Hanafi, D.; Tordon, M.; Katupitiya, Jayantha

doi:10.1109/aim.2003.1225511

Cited by 17 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantages of superior power density, highperformance motion control with fast speed and better accuracy, are such that permanent magnet linear synchronous motors (PMLSM) are being increasingly used in many automation control fields as actuators [1][2][3], especially used in the drive of the linear X-Y table.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Realization of Adaptive Fuzzy Controller for the Linear X-Y Table

Kung

Anh²,

Jou

2008

2008 Eighth International Conference on Intelligent Systems Design and Applications

View full text Add to dashboard Cite

This study presents an adaptive fuzzy controller for linear X-Y table based on FPGA (Field Programmable Gate Array) technology. The linear X-Y table is driven by two PMLSMs (Permanent Magnet Linear Synchronous Motors). Firstly, a mathematic modeled for PMLSM drive is defined. Secondly, to increase the performance of the PMLSM drive system, an AFC (Adaptive Fuzzy Controller) constructed by a fuzzy basis function and a parameter adjustable mechanism is derived and applied to the position control loop of drive system in x-axis table and y-axis table to cope with the effect of the system dynamic uncertainty and external load. Thirdly, the overall AFC and other circuits for the motion controller of linear X-Y table are implemented by a single FPGA. Finally, an experimental system is set up to evaluate the performance of the controller system.

show abstract

Section: Introductionmentioning

confidence: 99%

FPGA-Realization of Adaptive Fuzzy Controller for the Linear X-Y Table

Kung

Anh²,

Jou

2008

2008 Eighth International Conference on Intelligent Systems Design and Applications

View full text Add to dashboard Cite

show abstract

“…In modern manufacturing systems, the computer numerical controlled (CNC) machines have become important elements [9,10]. The CNC machines generally can be divided into two parts: the mechanical parts with servo drive systems and the servo controllers that control the multi-axis motion of the mechanical parts.…”

Section: Introductionmentioning

confidence: 99%

Robust Sugeno type adaptive fuzzy neural network backstepping control for two-axis motion control system

Lin¹,

Chou²,

Shen³

2008

4th IET International Conference on Power Electronics, Machines and Drives (PEMD 2008)

View full text Add to dashboard Cite

A robust Sugeno type adaptive fuzzy neural network (RSAFNN) backstepping control for a two-axis motion control system is proposed in this paper. The adopted two-axis motion control system is composed of two permanent magnet linear synchronous motors (PMLSMs). The single-axis motion dynamics with the introduction of a lumped uncertainty, which includes parameter variations, external disturbances, cross coupled interference between the two PMLSMs and fiction force, is derived first. Then, a backstepping control approach is proposed to compensate the lumped uncertainty occurred in the two-axis motion control system. Moreover, to improve the control performance in the tracking of the reference contours, a RSAFNN backstepping control is proposed where a Sugeno type adaptive fuzzy neural networks (SAFNN) is employed to estimate the lumped uncertainty directly. Furthermore, the proposed control algorithms are implemented in a TMS320C32 DSP-based control computer.

show abstract

“…has been a popular field in literature (Goto et al, 1996;Wang & Lee, 1999;Hanafi et al, 2003). In position control of X-Y table, there are two approaches to be considered.…”

Section: Introductionmentioning

confidence: 99%