scholarly journals An interval type-2 fuzzy approach for real-time EEG-based control of wrist and finger movement

2015 ◽  
Vol 21 ◽  
pp. 90-98 ◽  
Author(s):  
Saugat Bhattacharyya ◽  
Monalisa Pal ◽  
Amit Konar ◽  
D.N. Tibarewala
Keyword(s):  
Real Time ◽  
Finger Movement ◽  
Fuzzy Approach ◽  
Interval Type

scholarly journals Practical interval type-2 fuzzy self-tuning of PID controller to servo permanent magnet synchronous motor

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
M. A. Abdel Ghany ◽  
M. E. Bahgat ◽  
W. M. Refaey ◽  
Soliman Sharaf
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Square ◽  
Variable Load ◽  
Parameter Uncertainties ◽  
Self Tuning ◽  
Interval Type

AbstractThis paper implements a practical interval type-2 fuzzy self-tuning (IT2FST) of optimal PID (OPID) controller to servo permanent magnet synchronous motor (SPMSM). The proposed method IT2FST updates the OPID controller gains in an online manner to drive the SPMSM with better speed response during variable load and parameter uncertainty occurrence. In this work, the industrial SPMSM system comprises three-phase PMSM with internal break, drive and mechanical parts. Due to the incomplete real information of the SPMSM, nonlinear least square algorithm has been utilized for its model identification. A comparative analysis in a real time of the SPMSM with an OPID, type-1 fuzzy self-tuning and IT2FST for OPID controllers under the influence of parameter uncertainties and external load disturbances has been carried out. The real-time practical implementation results illustrated that the proposed IT2FST of OPID controller gives a simple opportunity to enhance the speed performance of the SPMSM than the other controllers.

scholarly journals Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm

2015 ◽  
Vol 68 ◽  
pp. 104-115 ◽  
Author(s):  
Saugat Bhattacharyya ◽  
Debabrota Basu ◽  
Amit Konar ◽  
D.N. Tibarewala
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Movement Control ◽  
Robot Arm ◽  
Interval Type

Real time implementation of interval type-2 fuzzy logic based damping controller for wind integrated power system

2021 ◽  
pp. 0309524X2110301
Author(s):  
Kanasottu Anil Naik
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Real Time ◽  
Control Technique ◽  
Control Block ◽  
The Real ◽  
Interval Type ◽  
Integrated Power System ◽  
Damping Controller

In this paper, the real time simulation results using an interval type-2 fuzzy logic based damping controller of wind integrated power system is presented. The fundamental control block of the employed SATCOM includes the proposed damping controller to reduce the damping oscillations/fluctuations. Real time digital simulations (RTDS) are developed using OPAL-RT real time simulator in order to show the effectiveness of the proposed fuzzy control technique. The real time simulator (RTS) lab consists of two targets (processors). On first processor (target one) a typical wind power system has been implemented and on second processor an interval type-2 fuzzy logic algorithm is modelled and developed hence, hardware in loop (HIL) configuration is achieved. To evaluate the effectiveness of the proposed method by comparative analysis, three different scenarios (STATCOM-without damping controller, STATCOM-with type-1 FLC based damping controller and STATCOM-with interval type-2 FLC based damping controller) are considered subjected to various disturbances such as noise in wind speed and different types of network faults.

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