scholarly journals Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
R. Lasri ◽  
I. Rojas ◽  
H. Pomares ◽  
O. Valenzuela
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Control Process ◽  
Control Area ◽  
Real Time Control ◽  
Innovative Strategy ◽  
Adaptive Fuzzy ◽  
Time Control ◽  
Adaptive Fuzzy Logic

The main objective of this paper is to prove the great advantage that brings our novel approach to the intelligent control area. A set of various types of intelligent controllers have been designed to control the temperature of a room in a real-time control process in order to compare the obtained results with each other. Through a training board that allows us to control the temperature, all the used algorithms should present their best performances in this control process; therefore, our self-organized and online adaptive fuzzy logic controller (FLC) will be required to present great improvements in the control task and a real high control performance. Simulation results can show clearly that the new approach presented and tested in this work is very efficient. Thus, our adaptive and self-organizing FLC presents the best accuracy compared with the remaining used controllers, and, besides that, it can guarantee an important reduction of the power consumption during the control process.

scholarly journals A Practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condi-tion

2018 ◽  
Vol 7 (2.12) ◽  
pp. 338 ◽  
Author(s):  
Neeraj Priyadarshi ◽  
Amarjeet Kr. Sharma ◽  
Akash Kumar Bhoi ◽  
S N. Ahmad ◽  
Farooque Azam ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Efficiency ◽  
Fuzzy Logic Controller ◽  
Weather Conditions ◽  
Voltage Regulation ◽  
Real Time Control ◽  
Adaptive Fuzzy ◽  
Time Control ◽  
Adaptive Fuzzy Logic ◽  
Power Point

For amelioration of tracking efficiency, the Maximum power point trackers (MPPT) are very important for photovoltaic (PV) generation. For this purpose here a reformed adaptive fuzzy logic control (FLC) MPPT tracker has been presented to enhance its overall power efficiency and gives rapid transient response under changing weather conditions. For voltage regulation at load bus, the zeta buck-boost converter has been taken for its least voltage ripple. MATLAB/SIMULINK simulation environment and dSPACE DS1104 real time control board is used to test the proposed adaptive fuzzy logic controller based MPPT in variable irradiance level and ambient tempera-ture. The tracking efficiency in this presented method is analyzed in comparison with standard fuzzy logic controller (FLC) and perturb and observe (P and O) MPPT algorithms. The modified AFLC controller gives better tracking efficiency and precise response compared to conventional fuzzy logic controller and P and O MPPT algorithms. Theoretical and experimental results obtained are demonstrated for improved functioning of the system.  

scholarly journals An Optimized Multi-Output Fuzzy Logic Controller for Real-Time Control

2008 ◽  
Vol 12 (4) ◽  
pp. 370-376
Author(s):  
Noel S. Gunay ◽  
◽  
Elmer P. Dadios
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Time Lag ◽  
Real Time Control ◽  
Single Output ◽  
Time Control ◽  
Object Oriented Approach ◽  
Control Application

Any real-time control application run by a digital computer (or any sequential machine) demands a very fast processor in order to make the time-lag from data sensing to issuance of a control action closest to zero. In some instances, the algorithm used requires a relatively large primary memory which is crucial especially when implemented in a microcontroller. This paper presents a novel implementation of a multi-output fuzzy controller (which is known in this paper as MultiOFuz), which utilizes lesser memory and executes faster than a type of an existing multiple single-output fuzzy logic controllers. The design and implementation of the developed controller employed the object-oriented approach with program level code optimizations. MultiOFuz is a reusable software component and the simplicity of how to interface this to control applications is presented. Comparative analyses of algorithms, memory usage and simulations are presented to support our claim of increased efficiency in both execution time and storage use. Future directions of MultiOFuz are also discussed.

Improving the Performance of a Vibration Neutraliser by Controlling Its Stiffness and Damping

2000 ◽  
Author(s):  
M. J. Brennan ◽  
M. R. F. Kidner
Keyword(s):  
Experimental Study ◽  
Fuzzy Logic ◽  
Real Time ◽  
Fuzzy Logic Controller ◽  
Feedback System ◽  
Real Time Control ◽  
Velocity Feedback ◽  
Time Control ◽  
Operational Frequency ◽  
Stiffness And Damping

Abstract This paper is concerned with improving the performance of a vibration neutraliser (absorber) by making it adaptive. To achieve this, the stiffness and damping of the device has to be controlled so that the impedance of the neutraliser is optimised at its operational frequency. The results of an experimental study are presented where real-time control of such a device is demonstrated. The stiffness is adjusted by changing the geometry, and damping is controlled with a velocity feedback system. Both these actions are achieved using a fuzzy logic controller.

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