Abstract
In this paper, optimal fractional and integer order PID controllers are compared on a stabilized Ball Balancing Table system. The real-time system is restricted on Y-axis and stabilized by using PV controller. Firstly, fractional and integer order system models are obtained from stabilized real-time system. Then, Big Bang-Big Crunch optimization algorithm is used to design optimal fractional and integer order PID controller with ISE performance index as a cost function. In order to avoid from system aggressiveness and high control signal values, maximum sensitivity constraint is utilized. Finally, the performance of the control systems are analyzed via simulations and real-time system applications.
Original language | English |
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Title of host publication | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 754-758 |
Number of pages | 5 |
ISBN (Electronic) | 9786050112757 |
DOIs | |
Publication status | Published - Nov 2019 |
Event | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Duration: 28 Nov 2019 → 30 Nov 2019 |
Publication series
Name | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
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Conference
Conference | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 |
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Country/Territory | Turkey |
City | Bursa |
Period | 28/11/19 → 30/11/19 |
Bibliographical note
Publisher Copyright:© 2019 Chamber of Turkish Electrical Engineers.