Show simple item record

On‐off iterative adaptive controller for low‐power micro‐robotic step regulation

dc.contributor.authorHahn, Bongsuen_US
dc.contributor.authorOldham, Kennen_US
dc.date.accessioned2012-07-12T17:24:25Z
dc.date.available2013-07-01T14:33:05Zen_US
dc.date.issued2012-05en_US
dc.identifier.citationHahn, Bongsu; Oldham, Kenn (2012). "On‐off iterative adaptive controller for low‐power micro‐robotic step regulation." Asian Journal of Control (3): 624-640. <http://hdl.handle.net/2027.42/92078>en_US
dc.identifier.issn1561-8625en_US
dc.identifier.issn1934-6093en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/92078
dc.description.abstractA novel model‐free iterative adaptive controller is presented for low‐power control of piezoelectric actuators. The controller uses simple adaptation rules based on known general behavior of piezoelectric actuators to adjust on‐off switching times to drive piezoelectric actuators through a desired transient step motion. Adaptation rules are based on small numbers of measurements taken during each iteration of the actuator movement. Combined with the use of only on‐off control inputs, controller implementation can be possible at much lower overall power levels than would be needed to implement a conventional control strategy such as through pulse‐width‐modulation (PWM) with real‐time feedback. Such power savings are particularly important for the intended controller application to piezoelectric microactuators driving autonomous terrestrial micro‐robots. A method for predicting convergence of systems with nominally linear dynamics and unknown, bounded nonlinearities is described, and applied to a sample target piezoelectric actuator. The controller is tested in simulation and experimentally on a piezoelectric cantilever actuator, and shows predicted convergence to the desired response. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Societyen_US
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherIterative Learning Controlen_US
dc.subject.otherMEMSen_US
dc.subject.otherAdaptive Controlen_US
dc.titleOn‐off iterative adaptive controller for low‐power micro‐robotic step regulationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelEngineering and Computer Science Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/92078/1/asjc410.pdf
dc.identifier.doi10.1002/asjc.410en_US
dc.identifier.sourceAsian Journal of Controlen_US
dc.identifier.citedreferenceEdamana, B., B. Hahn, J. Pulskamp, R. Polcawich, and K. Oldham, “ Modeling and optimal low‐power on‐off control of thin‐film piezoelectric rotational actuators,” IEEE/ASME Trans. Mechatron., PP(99), pp. 1 – 13 (2010).en_US
dc.identifier.citedreferenceOldham, K., B. Hahn, B. Edamana, J. Pulskamp, and R. Polcawich, “ Low‐power switching control schemes for micro‐robotic actuators,” Proc. ASME Smart Mater. Adapt. Struct. Intell. Syst. Conf., Ellicot City, MD (2008).en_US
dc.identifier.citedreferenceMain, J. A., D. Newton, L. Massengill, and E. Garcia, “ Efficient power amplifiers for piezoelectric applications,” Smart Mater. Struct., Vol. 5, pp. 766 – 775 ( 1996 ).en_US
dc.identifier.citedreferenceKaya, C. Y., and J. L. Noakes, “ Computational method for time‐optimal switching control,” J. Optim. Theory Appl., Vol. 117, No. 1, pp. 69 – 92 ( 2003 ).en_US
dc.identifier.citedreferenceSinghose, W. E., B. W. Mills, and W. P. Seering, “ Closed‐form methods for on‐off control of multi‐mode flexible structures,” Proc. 36th Conf. Decis. Control, San Diego, CA, pp. 1381 – 1386 (1997).en_US
dc.identifier.citedreferenceChen, C.‐T., and C. Hwang, “ Optimal on‐off control for fed‐batch fermentation processes,” Ind. Eng. Chem. Res., Vol. 29, pp. 1869 – 1875 (1990).en_US
dc.identifier.citedreferenceOldham, K., B. Hahn, and P. Park, “ On‐off control for low‐power servo control in piezoelectric microrobotics,” Proc. 2008 ASME Dyn. Syst. Control Conf., Ann Arbor, MI (2008).en_US
dc.identifier.citedreferenceBreddermann, R., “ Realization and application of a self‐tuning on‐off controller,” Lecture Notes in Control and Information Sciences, Springer, Berlin, Germany, pp. 74 – 83 ( 1980 ).en_US
dc.identifier.citedreferenceGolob, M., B. Tovornik, and D. Donlagic, “ Comparison of the self‐tuning on‐off controller with the conventional switching controllers,” 1st IEEE Conf. Control Appl., 2, Dayton, OH, pp. 962 – 963 (1992).en_US
dc.identifier.citedreferenceLim, C. W., T. Y. Chung, and S. J. Moon, “ Adaptive bang‐bang control for the vibration control of structures under earthquakes,” Earthq. Eng. Struct. Dyn., Vol. 32, pp. 1977 – 1994 ( 2003 ).en_US
dc.identifier.citedreferenceAhn, K., and S. Yokota, “ Intelligent switching control of pneumatic actuator using on/off solenoid valves,” Mechatronics, Vol. 15, pp. 683 – 702 ( 2005 ).en_US
dc.identifier.citedreferenceZhang, J., N. Wang, and S. Wang, “ Fussy‐neuron intelligent coordination control for a unit power plant,” Asian J. Control, Vol. 3, No. 1, pp. 57 – 63 ( 2001 ).en_US
dc.identifier.citedreferenceSpall, J., and J. A. Christion, “ Model‐free control of nonlinear stochastic systems with discrete‐time measurements,” IEEE Trans. Autom. Control, Vol. 43, No. 9, pp. 1198 – 1210 ( 1998 ).en_US
dc.identifier.citedreferenceHou, Z., and W. Huang, “ The model‐free learning adaptive control of a class of SISO nonlinear systems,” Proc. Am. Control Conf., Albequerque, NM, pp. 343 – 344 (1997).en_US
dc.identifier.citedreferenceHahn, B., and K. Oldham, “ Model‐free adaptive on‐off step controller for piezoelectric micro‐robotics,” Proc. 2009 ASME Dyn. Syst. Control Conf., Hollywood, CA (2009).en_US
dc.identifier.citedreferenceFang, D., H.‐W. Qu, and H.‐K. Xie, “ A 1 mW dual‐chopper amplifier for a 50‐ µg/√Hz CMOS‐MEMS accelerometer,” 2006 Symp. VLSI Circuits, Honolulu, HI (2006).en_US
dc.identifier.citedreferenceBracke, W., P. Merken, R. Puers, and C. Van Hoof, “ Ultra‐low‐power interface chip for autonomous capacitive sensor systems,” Circuits Syst. I, Vol. 54, No. 1, pp. 130 – 140 ( 2007 ).en_US
dc.identifier.citedreferenceOldham, K., and B. Edamana, “ An optimal on‐off controller with switching costs using non‐linar binary programming,” Proc. 2009 Am. Control Conf., St. Louis, MO (2009).en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.