An active control in a pneumatic isolation table which is driven by on-off air valves is considered in the present paper. A control method for the table with quantized input action caused by the on-off valves has been proposed for rapid vibration suppression. The proposed method determines the control input by using the Lyapunov function for avoiding instability against the quantization of the control input. The method exhibits vibration attenuation performances that are superior to the conventional methods in some experiments. However, this method suppresses vibrations in only the vertical direction. Therefore, improvement of the vibration suppression performance is required in not only the vertical direction but also the roll and pitch directions. In the present paper, a conventional method is extended to a multivariate control system. The effects of the extended method are verified by numerical simulations and experiments.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Multivariate Control Design Considering Quantization Error and Input Time-Delay for Pneumatic Isolation Table Available to Purchase
Masakazu Koike,
Masakazu Koike
Shinshu University, Nagano, Japan
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Yuichi Chida
Yuichi Chida
Shinshu University, Nagano, Japan
Search for other works by this author on:
Masakazu Koike
Shinshu University, Nagano, Japan
Yuichi Chida
Shinshu University, Nagano, Japan
Paper No:
DSCC2012-MOVIC2012-8625, pp. 783-792; 10 pages
Published Online:
September 17, 2013
Citation
Koike, M, & Chida, Y. "Multivariate Control Design Considering Quantization Error and Input Time-Delay for Pneumatic Isolation Table." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 783-792. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8625
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