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A Comprehensive Optimization of \({PD^{\mu }}\) Controller Design for Trade-off of Energy and System Performance

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 763))

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Abstract

This paper investigates the optimal trade-off between the system performance and control energy consumption for different settings of the control parameters \({k_P}, {k_D}, {\mu }\) and \(P{D^{\mu }}\) controller design, and a comprehensive optimization method is proposed to obtain the optimal \(P{D^{\mu }}\) controller. Detailed correlation analysis between the control performance and energy consumption is presented. The method is applied to the control of a ball-beam system, and the simulation results confirm that the proposed method is practically useful in the analysis and design of the \(P{D^{\mu }}\) controller.

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Acknowledgments

This work is supported by Shanghai Key Laboratory of Power Station Technology, the Project-sponsored by SRF for ROCS, SEM, and Shanghai Science Technology Commission No. 14ZR1414800, 14JC1402200.

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Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Ke Zhang, Min Zheng & Yijie Zhang

  2. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, 200072, China

    Min Zheng

  3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, UK

    Kang Li

Authors
  1. Ke Zhang
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  2. Min Zheng
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  3. Kang Li
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  4. Yijie Zhang
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Corresponding author

Correspondence to Min Zheng .

Editor information

Editors and Affiliations

  1. Queen’s University Belfast, Belfast, United Kingdom

    Kang Li

  2. Nanjing Automation Research Institute, Nanjing, China

    Yusheng Xue

  3. Harbin Institute of Technology, Harbin, China

    Shumei Cui

  4. Shanghai University, Shanghai, China

    Qun Niu

  5. Queen’s University Belfast, Belfast, United Kingdom

    Zhile Yang

  6. Cranfield University, Bedford, United Kingdom

    Patrick Luk

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© 2017 Springer Nature Singapore Pte Ltd.

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Zhang, K., Zheng, M., Li, K., Zhang, Y. (2017). A Comprehensive Optimization of \({PD^{\mu }}\) Controller Design for Trade-off of Energy and System Performance. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_26

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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