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Physical Model-Based Control

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Intelligent Mechatronic Systems

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Abstract

Classical control system analysis methods are revisited in this chapter. Initially, a methodical approach for conversion of bond graph models into state-space, signal flow graph, and block diagram models is illustrated. The next step deals with derivation of transfer functions and control theoretic analysis of closed-loop linear time invariant systems. The structural control properties (controllability, observability, zero dynamics, relative degree, infinite zeros, etc.) of the system are then derived by graphically analyzing the bond graph model structure under various causal forms. The concept of bicausality, which is very useful in system inversion and structural property evaluation, is formally introduced. This is followed by a basic introduction to discrete-time state-space models. Finally, actuator sizing for control system synthesis has been considered.

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Authors and Affiliations

  1. Ecole Polytechnique de Lille, Université des Sciences et Technologies de Lille (USTL), bd. Langevin, Villeneuve D’Ascq CX, 59655, France

    Rochdi Merzouki & Belkacem Ould Bouamama

  2. Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, 721302, India

    Arun Kumar Samantaray

  3. Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, 247667, India

    Pushparaj Mani Pathak

Authors
  1. Rochdi Merzouki
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  2. Arun Kumar Samantaray
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  3. Pushparaj Mani Pathak
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  4. Belkacem Ould Bouamama
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Correspondence to Rochdi Merzouki .

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© 2013 Springer-Verlag London

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Merzouki, R., Samantaray, A.K., Pathak, P.M., Ould Bouamama, B. (2013). Physical Model-Based Control. In: Intelligent Mechatronic Systems. Springer, London. https://doi.org/10.1007/978-1-4471-4628-5_4

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  • DOI: https://doi.org/10.1007/978-1-4471-4628-5_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4627-8

  • Online ISBN: 978-1-4471-4628-5

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