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An Improved PID Algorithm Based on BP Neural Network of Ambient Temperature Controller

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 690))

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Abstract

In order to create an environment suitable for crop growth, this paper aims at the characteristics of crop growth environment, put forward an improved PID algorithm controller which is based on BP neural network. The controller use BP neural network to improve PID control algorithm, and use this PID algorithm to control the temperature of crop growth. The algorithm is used to simulate the control system by Matlab. The results show that the algorithm not only improves the fastness of step response, but also greatly reduces the overshoot.

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Authors and Affiliations

  1. Xi’an Research Institute of High Technology, Xi’an, China

    Yanfei Liu, Jieling Wang, Jingjing Yang & Qi Li

Authors
  1. Yanfei Liu
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  2. Jieling Wang
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  3. Jingjing Yang
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  4. Qi Li
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Corresponding author

Correspondence to Yanfei Liu .

Editor information

Editors and Affiliations

  1. Shenyang Jianzhu University , Shenyang, Liaoning, China

    Feng Qiao

  2. SOA University , Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Montclair State University , Montclair, New Jersey, USA

    John Wang

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Liu, Y., Wang, J., Yang, J., Li, Q. (2018). An Improved PID Algorithm Based on BP Neural Network of Ambient Temperature Controller. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-319-65978-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-65978-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65977-0

  • Online ISBN: 978-3-319-65978-7

  • eBook Packages: EngineeringEngineering (R0)

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