A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive | Zendy

Mahammad A. Hannan | Zendy; Jamal Abd Ali | Zendy; Aini Hussain | Zendy; Fazida Hanim Hasim | Zendy; Ungku Anisa Ungku Amirulddin | Zendy; Mohammad Nasir Uddin | Zendy; Frede Blaabjerg | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive

Author(s) -

Mahammad A. Hannan,

Jamal Abd Ali,

Aini Hussain,

Fazida Hanim Hasim,

Ungku Anisa Ungku Amirulddin,

Mohammad Nasir Uddin,

Frede Blaabjerg

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2778081

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research