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Precision Motion Control: Intelligent Mechanisms, Morphing Mechanisms

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Intelligent Technologies and Engineering Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 234))

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Abstract

Engineering advances are often made at the boundary between two fields. This chapter considers synergy between the design of mechanisms used in manufacturing equipment and the design of control systems. Mechanism design often assumes constant velocity of the input shaft, but variations in inertia seen by the driving motor produce speed fluctuations. Typical feedback control cannot fix this, but smart control methods such as iterative learning control and repetitive control can. They can make the mechanism perform in hardware as it was intended to perform. With appropriate sensors they can also fix errors in manufacture and can also make hardware behave as if it were an improved design. The improvement in performance is achieved in software. We call these mechanisms/control systems intelligent mechanism or morphing mechanisms. Examples are discussed.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA

    R. W. Longman

  2. Lehigh University, Bethlehem, PA, 18015, USA

    M. S. Chew

  3. Thayer School of Engineering, Dartmouth College, Hannover, NH, 03755, USA

    M. Q. Phan

Authors
  1. R. W. Longman
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  2. M. S. Chew
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  3. M. Q. Phan
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Corresponding author

Correspondence to R. W. Longman .

Editor information

Editors and Affiliations

  1. School of Engineering, Mercer University, 151 Brookefield Drive, Macon, 31210, Georgia, USA

    Jengnan Juang

  2. National Changhua University of Educatio, No. 1, Jin De Road, Changhua City, 500, Taiwan R.O.C.

    Yi-Cheng Huang

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Longman, R.W., Chew, M.S., Phan, M.Q. (2013). Precision Motion Control: Intelligent Mechanisms, Morphing Mechanisms. In: Juang, J., Huang, YC. (eds) Intelligent Technologies and Engineering Systems. Lecture Notes in Electrical Engineering, vol 234. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6747-2_120

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  • DOI: https://doi.org/10.1007/978-1-4614-6747-2_120

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6746-5

  • Online ISBN: 978-1-4614-6747-2

  • eBook Packages: EngineeringEngineering (R0)

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