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Investigation of Robust Control of Position Control System

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Advances in Computing and Intelligent Systems

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

The objective of this paper is to design the robust controller for position control system. Here, Sun Seeker System (SSS) has been taken as the position control system. On a space vehicle, Sun seeker is mounted so that we can take the maximum amount of current possible from Photovoltaic cells (PV). To study the robust control analysis of this system, fractional order PID (FOPID) controller with FOMCON toolbox is investigated for different performance criteria such as Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Absolute Error (IAE). Now to find the robust controller for the position control system, comparison between the PID and FOPID controller with different performance criteria have been carried out when they are tuned by MATLAB toolbox and Genetic algorithm (GA). The simulation results show that the controllers with fractional order derivatives and integrals give better performance and robustness when compared to the conventional controllers.

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Author information

Authors and Affiliations

  1. Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology (NSIT), Dwarka Sector 3, New Delhi, 110078, India

    Divya Chauhan & S. K. Jha

Authors
  1. Divya Chauhan
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  2. S. K. Jha
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Corresponding author

Correspondence to Divya Chauhan .

Editor information

Editors and Affiliations

  1. Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. University of Southern Denmark, Odense, Denmark

    Kannan Govindan

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh C. Poonia

  4. Amity University, Jaipur, Rajasthan, India

    Sandeep Kumar

  5. University of Bahrain, Zallaq, Bahrain

    Wael M. El-Medany

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Chauhan, D., Jha, S.K. (2020). Investigation of Robust Control of Position Control System. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_42

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