A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive
| Autor: | Frede Blaabjerg, Ungku Anisa Ungku Amirulddin, Aini Hussain, Mohammad Nasir Uddin, Mahammad A. Hannan, Fazida Hanim Hasim, Jamal Abd Ali |
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| Rok vydání: | 2018 |
| Předmět: |
Optimization
Electronic speed control General Computer Science Settling time Stator 02 engineering and technology fuzzy speed controller Fuzzy logic quantum lightning search algorithm law.invention SVPWM Control theory Search algorithm law 0202 electrical engineering electronic engineering information engineering General Materials Science DSP MATLAB computer.programming_language validation 020208 electrical & electronic engineering General Engineering IM drive 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 computer Induction motor |
| Zdroj: | Hannan, M A, Ali, J A, Hussain, A, Hasim, F H, Amirulddin, U A U, Uddin, M N & Blaabjerg, F 2017, ' A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive ', IEEE Access, vol. 6, pp. 1214-1223 . https://doi.org/10.1109/ACCESS.2017.2778081 IEEE Access, Vol 6, Pp 1214-1223 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2017.2778081 |
| Popis: | This paper presents a quantum lightning search algorithm (QLSA)-based optimization technique for controlling speed of the induction motor (IM) drive. The developed QLSA is implemented in fuzzy logic controller to generate suitable input and output fuzzy membership function for IM drive speed controller. The main objective of this paper is to develop QLSA-based fuzzy (QLSAF) speed controller to minimise the mean absolute error in order to improve the performance of the IM drive with changes in speed and mechanical load. The QLSAF-based speed controller is implemented in simulation model in the MATLAB/Simulink environment and the prototype is fabricated and experimentally tested in a fully integrated DSP for controlling the IM drive system. The experimental results of the developed QLSAF speed controller are compared with the simulation results under different performance conditions. Several experimental results show that there are good agreement of the controller parameters, SVPWM signals, and different types of speed responses and stator currents with the simulation results, which are verified and validated the performance of the proposed QLSAF speed controller. Also, the proposed QLSAF speed controller outperforms other studies with settling time in simulation and in experimental implementation, which validates the controller performance as well. |
| Databáze: | OpenAIRE |
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