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Electrical, Information Engineering and Mechatronics 2011 pp 11–24Cite as

On the Design of Incremental Predictive Functional Control Algorithm

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 138))

Abstract

To improve the predictive functional control (PFC) algorithm, this paper presents an incremental PFC algorithm designed through the combination of incremental control and PFC, and hence it has the advantages of both approaches. The Internal Model Control (IMC) framework is presented from the control law and is used to analyse and evaluate the performance of the controller design and closed-loop system. The proposed algorithm could effectively guarantee rapid unbiased-tracking with enhanced system robustness. The suggested algorithm has been assessed through a set of numerical experiments with a focus on the impact of the number of basis functions in the control law on the system performance and the simulation result proves the effectiveness of the algorithm.

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Acknowledgements

This work is supported in part by the National High Technology Research and Development Program of China (“863” Program) with grant No. 2007AA05Z232 and National Natural Science Foundation of China (No. 51107113).

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Authors and Affiliations

  1. College of Electrical Engineering, Zhejiang University, Hangzhou, People’s Republic of China

    Wei Wu, Qiang Yang & Wenjun Yan

Authors
  1. Wei Wu
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  2. Qiang Yang
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  3. Wenjun Yan
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Corresponding author

Correspondence to Wenjun Yan .

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Editors and Affiliations

  1. , School of Electrical Engineering and, Henan Polytechnic University, Jiaozuo, China, People's Republic

    Xudong Wang

  2. , School of Electrical Engineering and, Henan Polytechnic University, Jiaozuo, China, People's Republic

    Fuzhong Wang

  3. , College of Elementary Education, Chongqing Normal University, Chongqing, China, People's Republic

    Shaobo Zhong

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© 2012 Springer-Verlag London Limited

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Cite this paper

Wu, W., Yang, Q., Yan, W. (2012). On the Design of Incremental Predictive Functional Control Algorithm. In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_2

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  • DOI: https://doi.org/10.1007/978-1-4471-2467-2_2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2466-5

  • Online ISBN: 978-1-4471-2467-2

  • eBook Packages: EngineeringEngineering (R0)

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