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.

Wind power smoothing in partial load region with advanced fuzzy-logic based pitch-angle controller

2021 ◽  
pp. 0309524X2110028
Author(s):  
Kanasottu Anil Naik ◽  
Chandra Prakash Gupta ◽  
Eugene Fernandez
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Real Time ◽  
Output Power ◽  
Pitch Angle ◽  
Power Smoothing ◽  
Partial Load ◽  
Interval Type ◽  
Real Time Simulations

The wind energy system (WES) has an undesirable characteristic in which its power output varies with wind speed, resulting in fluctuations in the grid frequency and voltage. Especially, in partial load region where the wind speed is below rated, there is a concern in regards to WES output power. This part of the work initially employed exponential moving average (EMA) concept to generate reference power. Later on, an interval type-2 fuzzy logic (advanced fuzzy logic) based pitch-angle controller is implemented and designed for good reference tracking and therefore, it can smoothen out the WES output power more effectively. Real time simulations are also developed to show the applicability of the proposed controller using the OPAL-RT digital simulator. Below rated wind speed pattern has considered for real time simulations and results are obtained with different control techniques. The results show that the proposed interval type-2 fuzzy logic (advanced fuzzy logic) based pitch-angle controller offers better performance in tracking reference power and hence, it offers good smoothing of output power fluctuations than conventional proportional-integral (PI) and traditional fuzzy logic (Type-1) controllers. The performance of the proposed controller is also estimated using power smoothing and energy loss functions in terms of performance indices.

scholarly journals Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot

2021 ◽  
Vol 54 (3-4) ◽  
pp. 303-323
Author(s):  
Amjad J Humaidi ◽  
Huda T Najem ◽  
Ayad Q Al-Dujaili ◽  
Daniel A Pereira ◽  
Ibraheem Kasim Ibraheem ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Trajectory Tracking ◽  
Fuzzy Logic Controller ◽  
Optimization Technique ◽  
Parallel Robot ◽  
Design Parameters ◽  
Social Spider ◽  
Social Spider Optimization ◽  
Interval Type

This paper presents control design based on an Interval Type-2 Fuzzy Logic (IT2FL) for the trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The design of Type-1 Fuzzy Logic Controller (T1FLC) is also considered for the purpose of comparison with the IT2FLC in terms of robustness and trajectory tracking characteristics. The scaling factors in the output and input of T1FL and IT2FL controllers play a vital role in improving the performance of the closed-loop system. However, using trial-and-error procedure for tuning these design parameters is exhaustive and hence an optimization technique is applied to achieve their optimal values and to reach an improved performance. In this study, Social Spider Optimization (SSO) algorithm is proposed as a useful tool to tune the parameters of proportional-derivative (PD) versions of both IT2FLC and T1FLC. Two scenarios, based on two square desired trajectories (with and without disturbance), have been tested to evaluate the tracking performance and robustness characteristics of proposed controllers. The effectiveness of controllers have been verified via numerical simulations based on MATLAB/SIMULINK programming software, which showed the superior of IT2FLC in terms of robustness and tracking errors.

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