scholarly journals Fuzzy type 1 PID controllers design for TCP/AQM wireless networks

2021 ◽  
Vol 21 (1) ◽  
pp. 118
Author(s):  
Manal Kadhim Oudah ◽  
Mohammed Qasim Sulttan ◽  
Salam Waley Shneen
Keyword(s):  
Fuzzy Logic ◽  
Wireless Networks ◽  
Pid Controllers ◽  
Logic Control ◽  
Internet Users ◽  
Control Units ◽  
Communication Time ◽  
The Stability ◽  
The Impact

<p><span>The search of FLC_PID controller for TCP/AQM Wireless Networks, to deal with congestion for Internet users and to get good performance and capabilities of TCP / IP networks. Neglect of controlling the network delay and the number of continuous users that leads to a problem in the transmission process. Recently, automatic control units are adapted to solve this problem with the difficulty of controlling congestion in the presence of wireless links. This modest research presents one of the traditional PID controller methods with fuzzy logic so that wireless networks and congestion can be controlled by various configurations. The proposed methods were simulated with the required comparisons in the adoption of nonlinear systems to determine the best performance and it was found that the use of the Fuzzy logic control can achieve the best performance (reducing the delay time of delivering packets and packets loss). The simulation of the current work shows through its results the possibility of controlling the behavior of the system and through testing the balance when changed with time delay through the impact of communication time and its relationship with the stability of the work of the system.</span></p>

Active Aerodynamics Through Active Body Control: Modelling and Static Simulator Validation

2020 ◽  
Author(s):  
Henrique de Carvalho Pinheiro ◽  
Francesco Russo ◽  
Lorenzo Sisca ◽  
Alessandro Messana ◽  
Davide De Cupis ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Vehicle Dynamics ◽  
Fuzzy Logic Control ◽  
High Performance ◽  
Subjective Evaluation ◽  
The Body ◽  
Race Car ◽  
Logic Control ◽  
The Stability

Abstract Active aerodynamics is a growing field in the race car and high-performance vehicles segments, since each situation on the track may require different aero forces to achieve the best vehicle dynamics performance. This paper presents an active aerodynamics control system developed through the active control of the body trim. By interchanging four different setups on the suspension heights with a fuzzy logic control, relevant advantage is obtained in terms of lap time reduction. Two systems, a PID and a Feedforward logic, are studied to implement the control strategy and important differences are found in the stability of tire-ground forces benefiting the latter. Furthermore, the system was validated in a Driver-In-the-Loop (DIL) static simulator with a more realistic road conditions and important insights in terms of subjective evaluation.

Interval Type-2 Fuzzy Logic Control of NM70 Shape Memory Actuator

2014 ◽  
Author(s):  
Ireneusz Dominik
Keyword(s):  
Fuzzy Logic ◽  
Shape Memory ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Logic Control ◽  
Interval Type ◽  
Nonlinear Plant

The main aim of this article is to present the usage of type-2 fuzzy logic controller to control a shape memory actuator. To enhance real-time performance simplified interval fuzzy sets were used. The algorithm was implemented in the ATmega32 microcontroller. The dedicated PC application was also built. The fuzzy logic controller type-2 was tested experimentally by controlling position of the shape memory alloy actuator NM70 which despite its small size distinguishes itself by its strength. The obtained results confirmed that type-2 fuzzy controller performed efficiently with a difficult to control nonlinear plant. The research also proved that interval type-2 controllers, which are a simplified version of the general type-2 controllers, are very efficient. They can handle uncertainties without increasing drastically the computational complexity. Experimental data comparison of the fuzzy logic controller type-2 with type-1 clearly indicates the superiority of the former, especially in reducing overshooting.

A survey of Type-2 fuzzy logic controller design using nature inspired optimization

2020 ◽  
Vol 39 (5) ◽  
pp. 6169-6179
Author(s):  
Fevrier Valdez ◽  
Oscar Castillo ◽  
Prometeo Cortes-Antonio ◽  
Patricia Melin
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Optimization Methods ◽  
Fuzzy Logic Controllers ◽  
Logic Control ◽  
Optimal Type ◽  
Logic Controllers

In this paper, we are presenting a survey of research works dealing with Type-2 fuzzy logic controllers designed using optimization algorithms inspired on natural phenomena. Also, in this review, we analyze the most popular optimization methods used to find the important parameters on Type-1 and Type-2 fuzzy logic controllers to improve on previously obtained results. To this end have included a summary of the results obtained from the web of science database to observe the recent trend of using optimization methods in the area of optimal type-2 fuzzy logic control design. Also, we have made a comparison among countries of the network of researchers using optimization methods to analyze the distribution and impact of the papers.

Type-2 fuzzy logic control for underactuated truss-like robotic finger with comparison of a type-1 case1

2017 ◽  
Vol 33 (4) ◽  
pp. 2047-2057 ◽  
Author(s):  
Shuchen Ding ◽  
Xianlin Huang ◽  
Xiaojun Ban ◽  
Hongqian Lu ◽  
Hongyang Zhang
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Logic Control

scholarly journals Fuzzy Logic Control of Adaptive ARQ for Video Distribution over a Bluetooth Wireless Link

2007 ◽  
Vol 2007 ◽  
pp. 1-13 ◽  
Author(s):  
R. Razavi ◽  
M. Fleury ◽  
M. Ghanbari
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Video Quality ◽  
Video Stream ◽  
Buffer Size ◽  
Logic Control ◽  
Video Distribution ◽  
Channel Conditions ◽  
The Impact ◽  
Picture Type

Bluetooth's default automatic repeat request (ARQ) scheme is not suited to video distribution resulting in missed display and decoded deadlines. Adaptive ARQ with active discard of expired packets from the send buffer is an alternative approach. However, even with the addition of cross-layer adaptation to picture-type packet importance, ARQ is not ideal in conditions of a deteriorating RF channel. The paper presents fuzzy logic control of ARQ, based on send buffer fullness and the head-of-line packet's deadline. The advantage of the fuzzy logic approach, which also scales its output according to picture type importance, is that the impact of delay can be directly introduced to the model, causing retransmissions to be reduced compared to all other schemes. The scheme considers both the delay constraints of the video stream and at the same time avoids send buffer overflow. Tests explore a variety of Bluetooth send buffer sizes and channel conditions. For adverse channel conditions and buffer size, the tests show an improvement of at least 4 dB in video quality compared to nonfuzzy schemes. The scheme can be applied to any codec with I-, P-, and (possibly) B-slices by inspection of packet headers without the need for encoder intervention.

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