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Optimal Tuning of PID Controller for Centrifugal Temperature Control System in Sugar Industry Using Genetic Algorithm

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

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Abstract

This paper presents optimal tuning of the PID controllers for regulating the temperature in a heat exchanger of centrifugal machines in sugar industry using genetic algorithm. For filtering out sugar from the molasses centrifugal machines are operated at certain temperature and any alterations from the set point will drastically affect the process safety and product quality. The PID controller maintains the temperature of the outgoing fluid at a desired level and that too in a short duration of time, and must be able to adapt to the external disturbances and accept the new set points dynamically. Initially, an oscillatory behavior has been obtained for the PID controller tuned using RTR, followed by optimization using genetic algorithms. The GA optimized PID controller shows better response irrespective of the conventional RTR tuned PID in terms of the performance indices.

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Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Amity University, Jaipur, Rajasthan, India

    Sanjay Kumar Singh

  2. Department ECE, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    D. Boolchandani & S. G. Modani

  3. Department of Electrical Engineering, PEC University of Technology, Chandigarh, India

    Nitish Katal

Authors
  1. Sanjay Kumar Singh
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  2. D. Boolchandani
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  3. S. G. Modani
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  4. Nitish Katal
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Corresponding author

Correspondence to Sanjay Kumar Singh .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Singh, S.K., Boolchandani, D., Modani, S.G., Katal, N. (2016). Optimal Tuning of PID Controller for Centrifugal Temperature Control System in Sugar Industry Using Genetic Algorithm. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_18

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

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