NDLI: DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives

Content Provider	IEEE Xplore Digital Library
Author	Rubaai, A. Castro-Sitiriche, M.J. Ofoli, A.R.
Copyright Year	1972
Abstract	This paper presents a real-time implementation of a genetic-based hybrid fuzzy-proportional-integral-derivative (PID) controller for industrial motor drives. Both the design of fuzzy-PID (FPID) controller and its integration with the conventional PID in global control system to produce a hybrid design are demonstrated. A genetic optimization technique is used to determine the optimal values of the scaling factors of the output variables of the FPID controller. The objective is to utilize the best attributes of the PID and FPID controllers to provide a controller which will produce better response than either the PID or FPID controller. The principle of the hybrid controller is to use a PID controller, which performs satisfactorily in most cases, while keeping in the background a FPID controller, which is ready to take over the PID controller when severe disturbances occur. The hybrid controller is formulated and implemented in real time, using the speed control of a brushless drive system as a testbed. The design, analysis, and implementation stages are carried out entirely using a dSPACE DS1104 digital-signal-processor-based real-time data acquisition control system and MATLAB/Simulink environment. Experimental results show that the proposed FPID controller-based genetic optimization produces better control performance than the conventional PID controllers, particularly in handling nonlinearities and external disturbances.
Sponsorship	IEEE Industry Applications Society
Starting Page	1977
Ending Page	1986
Page Count	10
File Size	1233062
File Format	PDF
ISSN	00939994
Volume Number	44
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laboratories Genetics Motor drives Three-term control Control systems Control nonlinearities Real time systems Electrical equipment industry Industrial control Optimal control real time dSPACE digital signal processor (DSP) generic optimization hybrid fuzzy–proportional–integral–derivative (PID) controller MATLAB/Simulink environment motor drives
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Design and Implementation of Parallel Fuzzy PID Controller for High-Performance Brushless Motor Drives: An Integrated Environment for Rapid Control Prototyping

DSP-Based Real-Time Implementation of a Hybrid $H infty$ Adaptive Fuzzy Tracking Controller for Servo-Motor Drives

Performance Evaluation of Fuzzy Switching Position Controller for Automation and Process Industry Control

Fuzzy proportional-integral speed control of switched reluctance motor with MATLAB/Simulink and programmable logic controller communication

Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

EKF-Based PI-/PD-Like Fuzzy-Neural-Network Controller for Brushless Drives

Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives

Anti-Windup PID Controller With Integral State Predictor for Variable-Speed Motor Drives

A Novel Neuro-Wavelet-Based Self-Tuned Wavelet Controller for IPM Motor Drives

DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives

Similar Documents

Design and Implementation of Parallel Fuzzy PID Controller for High-Performance Brushless Motor Drives: An Integrated Environment for Rapid Control Prototyping

DSP-Based Real-Time Implementation of a Hybrid $H infty$ Adaptive Fuzzy Tracking Controller for Servo-Motor Drives

Performance Evaluation of Fuzzy Switching Position Controller for Automation and Process Industry Control

Fuzzy proportional-integral speed control of switched reluctance motor with MATLAB/Simulink and programmable logic controller communication

Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

EKF-Based PI-/PD-Like Fuzzy-Neural-Network Controller for Brushless Drives

Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives

Anti-Windup PID Controller With Integral State Predictor for Variable-Speed Motor Drives

A Novel Neuro-Wavelet-Based Self-Tuned Wavelet Controller for IPM Motor Drives

DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives