Design of mamdani type fuzzy controller for a hybrid solar-electric dryer: case study of clay drying

2019 ◽  
Author(s):  
Ahmed Zoukit ◽  
Hicham El Ferouali ◽  
Issam Salhi ◽  
Said Doubabi ◽  
Naji Abdenouri
Keyword(s):  
Fuzzy Controller

scholarly journals Actuator saturation control of a benchmark structure using hedge-algebras-based fuzzy controller

2015 ◽  
Vol 37 (2) ◽  
pp. 91-104
Author(s):  
Bui Hai Le
Keyword(s):  
Fuzzy Controller ◽  
Actuator Saturation ◽  
Fuzzy Model ◽  
Linguistic Variable ◽  
Linguistic Terms ◽  
Earthquake Excitation ◽  
Saturation Control ◽  
Linguistic Hedges ◽  
Bracing System

In this paper, the problem of actuator saturation control of a benchmark structure using hedge-algebras-based fuzzy controller (HAC) is presented. In HAC, linguistic values of linguistic terms are obtained through semantically quantifying mappings (SQMs) based on few fuzziness parameters of each linguistic variable without using any fuzzy set and inherent order relationships between linguistic values of each linguistic variable are always ensured. Hence, the design of a HAC leads to determining parameters of SQMs, which are fuzziness measures of primary terms and linguistic hedges occurring in a fuzzy model. As a case study, a HAC is designed to actuator saturation control of a benchmark structure with active bracing system (ABS) subjected to earthquake excitation. Control performance of the controller is also discussed in order to show advantages of the proposed method.

Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

2019 ◽  
Vol 50 (3) ◽  
pp. 652-667 ◽  
Author(s):  
Shahrzad Behzadimanesh ◽  
Alireza Fatehi ◽  
Siavash Fakhimi Derakhshan
Keyword(s):  
Lyapunov Function ◽  
Fuzzy Controller

Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study

2021 ◽  
pp. 53-61
Author(s):  
Bakhytzhan Omarov ◽  
Aigerim Altayeva ◽  
Akhan Demeuov ◽  
Adilbay Tastanov ◽  
Zhakipbek Kassymbekov ◽  
...  
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Fuzzy Controller ◽  
Complex Case ◽  
Air Quality Control

Simulation Analysis of Non-Linear Fuzzy PID Temperature Controller

2013 ◽  
Vol 465-466 ◽  
pp. 677-681 ◽  
Author(s):  
Ling Yuen Ang ◽  
Fairul Azni Jafar
Keyword(s):  
Pid Controller ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Integral Term ◽  
Temperature Controller ◽  
Non Linear ◽  
The Stability

The objectives of the project are to simulate linear Mamdami type fuzzy temperature controller and non-linear Takegi-Sugeno type fuzzy temperature controllers using MATLAB and Simulink, and to compare the performance between the two controllers. A case study has been created to test the controllers involved a water boiler, where the system is modeled using Joules Law and Law of Thermodynamics. A Proportional-Integral-Derivative (PID) controller was tuned and the PID parameters were then used to obtain the gain of the fuzzy controllers. Simulation results confirmed that non-linear fuzzy controller has smaller overshoot and faster settling time compared to the linear fuzzy controller and PID controller, although an extra derivative gain may be needed for the non-linear fuzzy controller if the integral term is huge enough to affect the stability of the system.

scholarly journals Artificial Intelligent Fuzzy Logic Controller Applied on 6DOF Robot Arm Using LabVIEW and FPGA

2018 ◽  
Vol 3 (5) ◽  
pp. 1
Author(s):  
Ahlam Najm A-Amir ◽  
Hanan A.R. Akkar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Robot Manipulator ◽  
Robot Arm ◽  
Serial Link ◽  
Artificial Intelligent ◽  
Field Programmable ◽  
Labview Fpga

In this work an efficient Artificial Intelligent Robotic Fuzzy Logic Controller (AIRFC) system have been constructed to control the robot arm. A serial link Robot manipulator with 6 Degree of Freedom (DOF) from DFROBOT of code ROB0036 is used as a case study. A fuzzy logic type1 controller is implemented on LabVIEW to control each joint of the robot arm for nonlinearity measurements and a fuzzy logic type2 controller is applied which is more suitable for uncertainty. The hardware design is implemented and finally downloaded using the Field Programmable Gate Array (FPGA) kit named PCI-7833R from National Instrument. By using the LabVIEW FPGA MODEL the target board can be detected for software implementation of the controllers’ systems. The work shows that in case of type2 fuzzy logic the rise time is less than that of type1 fuzzy logic for the shoulder, wrist roll and the gripper angles and it is higher for base, elbow and wrist pitch angles. The settling time is the same in elbow and wrist pitch angles and for the type2 fuzzy controller it is less for other angles.

scholarly journals The Use of a Fuzzy Logic to Eliminate an Error in Measuring the Flight Altitude of the W-3 „Sokół” Helicopter

2018 ◽  
Vol 45 (1) ◽  
pp. 125-141
Author(s):  
Krystian Bujak ◽  
Norbert Grzesik ◽  
Konrad Kuźma
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Software Package ◽  
Fuzzy Controller ◽  
Electronic Control ◽  
Flight Altitude ◽  
Operational Control ◽  
Wide Range ◽  
Input Signals

Abstract Along with the growing technology, helicopters are equipped with increasingly complex avionics and operational control systems. Such devices use a variety of input signals in order to enhance their performance. Owing to the use of electronic control systems, modern helicopters have a wide range of possibilities, both in terms of manoeuvrability and combat. The article presents a case study of designing equipment control systems on the example of a radio altimeter, which is mounted onboard the W-3 “Sokół” helicopter. The primary assumption was to design a fuzzy controller using FuzzyLogic Toolbox in the Matlab software package that will facilitate similar results, and, above all, will eliminate the altitude measurement error resulting from the bank of a helicopter.

scholarly journals Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Onur Derin ◽  
Prasanth Kuncheerath Ramankutty ◽  
Paolo Meloni ◽  
Emanuele Cannella
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Fuzzy Controller ◽  
Frame Rate ◽  
Bit Rate ◽  
Control Data ◽  
Reasonable Time ◽  
Additional Control ◽  
Self Adaptation

Self-adaptivity is the ability of a system to adapt itself dynamically to internal and external changes. Such a capability helps systems to meet the performance and quality goals, while judiciously using available resources. In this paper, we propose a framework to implement application level self-adaptation capabilities in KPN applications running on NoC-based MPSoCs. The monitor-controller-adapter mechanism is used at the application level. The monitor measures various parameters to check whether the system meets the assigned goals. The controller takes decisions to steer the system towards the goal, which are applied by the adapters. The proposed framework requires minimal modifications to the application code and offers ease of integration. It incorporates a generic adaptation controller based on fuzzy logic. We present the MJPEG encoder as a case study to demonstrate the effectiveness of the approach. Our results show that even if the parameters of the fuzzy controller are not tuned optimally, the adaptation convergence is achieved within reasonable time and error limits. Moreover, the incurred steady-state overhead due to the framework is 4% for average frame-rate, 3.5% for average bit-rate, and 0.5% for additional control data introduced in the network.

Fuzzy Controller for a Biotechnological Process - Case Study

1997 ◽  
Vol 30 (27) ◽  
pp. 431-434
Author(s):  
L Dumitrache ◽  
S. Dumitriu ◽  
G. Calcev ◽  
M. Caramihai
Keyword(s):  
Fuzzy Controller ◽  
Biotechnological Process

The Genesis and Internal Dynamics of El Salvador's People's Revolutionary Army, 1970–1976

2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO
Keyword(s):  
Latin America ◽  
El Salvador ◽  
Early Years ◽  
Left Wing ◽  
Internal Dynamics ◽  
Internal Coherence ◽  
The 1960S

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.

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