Automatic tuning of cascade structure CNC controllers

Pham, Minh Tu; Poignet, P.; Gautier, Maxime

doi:10.1109/amc.2000.862899

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…This is witnessed in the former case by works such as Buschini et al (1994); Ha et al (1997); Wellenreuther et al (2006), while examples in the latter context are e.g. Dumur and Boucher (1994); Schmidt et al (1999); Pham et al (2000). Therefore, improvements in the synthesis of cascade controls have a beneficial effect on a significant part of the entire control application field.…”

Section: Introductionmentioning

confidence: 95%

Fast autotuning of process cascade controls

Leva

2008

IFAC Proceedings Volumes

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Section: Introductionmentioning

confidence: 95%

Fast autotuning of process cascade controls

Leva

2008

IFAC Proceedings Volumes

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“…Many studies that attempt to improve the tracking performance in a machining process by improving the control performance have been reported in the literature [12 -14]. The stability of a CNC machine with an output time-delay and measurement error was studied in [12]. The phase margin and frequency response were used in the controller design to determine the regions of system stability.…”

Section: Introductionmentioning

confidence: 99%

Robust recurrent-neural-network sliding-mode control for the X-Y table of a CNC machine

Lin

Shieh

Shen

2006

IEE Proceedings - Control Theory and Applications

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A robust recurrent-neural-network (RRNN) sliding-mode control is proposed for a biaxial motion mechanism to allow reference contour tracking. The biaxial motion mechanism is a X-Y table of a computer numerical control machine that is driven by two field-oriented control permanent-magnet synchronous motors. The single-axis motion dynamics are derived in terms of a lumped uncertainty that includes cross-coupled interference between the two-axes. A RRNN sliding-mode control system is proposed based on the derived motion dynamics to approximate the control obtained by using sliding-mode control and the motions at the X-axis and Y-axis are controlled separately. The motion tracking performance is significantly improved using the proposed control technique and robustness to parameter variations, external disturbances, crosscoupled interference and frictional torque can be obtained as well. Experimental results on circular, four-leaf, window and star reference contours are provided to show that the dynamic behaviour of the proposed control system is robust with regard to uncertainties.

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