scholarly journals Input-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy

2022 ◽  
Vol 12 (2) ◽  
pp. 1223
Author(s):  
Viji Karthikeyan ◽  
Anil Kumar Tiwari ◽  
Agalya Vedi ◽  
Buvana Devaraju
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Rule Base ◽  
Input Output ◽  
Simulated Performance ◽  
New Strategy ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Fuzzy Control Strategy

The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where formation of rule base becomes difficult with rise in number of error and error derivative inputs. In this paper the linearization of input-output performance is carried out by the DSMFC algorithm for boost converter. The DSMFC strategy minimizes the chattering problem faced by the DSMC. The simulated performance of a discrete sliding mode fuzzy controller is studied and the results are investigated.

Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming

2014 ◽  
Vol 556-562 ◽  
pp. 1472-1475 ◽  
Author(s):  
Bing Dong ◽  
Yan Tao Tian ◽  
Chang Jiu Zhou
Keyword(s):  
Dynamic Programming ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Management System ◽  
Control Method ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy Control ◽  
Energy Management System ◽  
Fuzzy Control Strategy

This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.

A Fuzzy Logic Based Rocket Launch Tube’s DFMEA

2011 ◽  
Vol 87 ◽  
pp. 119-122
Author(s):  
Tosapolporn Pornpibunsompop ◽  
Attapon Charoenpon ◽  
Ekaratch Pankaew
Keyword(s):  
Fuzzy Logic ◽  
Failure Modes ◽  
Mechanical Load ◽  
Material Selection ◽  
Early Stage ◽  
Rule Base ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Potential Failure ◽  
Launch Tube

DFMEA is a significantly efficient tool to systematically evaluate risk in early stage of product design and development but some of knowledge and information are uncertain and imprecise. This research focuses on fuzzy logic approach to diminish weaknesses and applies to launch tube’s DFMEA. The methodology started from determine membership function of severity, occurrence, and detection and provide fuzzy rule base to arranged category of risk. Afterwards, center average index was selected as defuzzifier for risk value representation. Consequently, the prioritization based on risk value was done and chosen the first five risk value of potential failure modes to analyze causes then recommended appropriate actions. After application of fuzzy logic approach, the most vital potential failure mode is damaged launch tube due to detention force which is rated as first and second priority depending on potential cause or mechanism. The third priority is launch tube distortion. The mechanical load calculation and proper material selection are the recommended actions for overcoming those potential failure modes.

Design on Fuzzy Controller of DC Motors Speed Control Based on DSP

2013 ◽  
Vol 722 ◽  
pp. 357-360
Author(s):  
Peng Jie Zhang ◽  
Ji Hong Guo ◽  
Hong Jing Ma ◽  
Hong Ming Ma
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Design Procedure ◽  
Speed Control ◽  
Fast Response ◽  
Dc Motor ◽  
Motor Speed ◽  
Control Effect ◽  
Dc Motor Control ◽  
Fuzzy Control Strategy

Aiming at the problems of nonlinearity, time-variant parameters, and uncertainty of system mathematical model in the PID regulator of DC motor control, a fuzzy controller of DC motor speed control based on TMS320LF2407A is designed in this paper, using the fuzzy control strategy to control, and its design procedure is described. The experimental results show that the speed control system of DC motor by using DSP controller and fuzzy control algorithms has a fast response, slight overshot and good stability, and improves the control effect.

A Research on the Fuzzy Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 121-126 ◽  
pp. 2522-2526
Author(s):  
Ling Cai ◽  
Liang Ge
Keyword(s):  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Controller ◽  
Secondary Development ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Fuzzy Control Strategy

Several kinds of methods of energy management of hybrid electric vehicle (HEV) are analyzed. Based on the design requirement of a certain type of parallel HEV, the fuzzy control strategy of energy management is proposed. ADVISOR2002 is chosen as the simulation platform for secondary development, and the simulation results of the fuzzy control strategy and electric assist control strategy are compared. The simulation results indicate that the adaptive fuzzy controller can obviously improve the performance of HEV fuel economy and emissions.

Simulation Analysis of Tractor AMT Shifting Process Based on Fuzzy Optimization of Downshifting

2012 ◽  
Vol 468-471 ◽  
pp. 970-975
Author(s):  
Zhi Li Zhou ◽  
Ming Xing Xing ◽  
Li You Xu ◽  
Jin Quan Ding ◽  
Yan Ke Zhao
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Fuzzy Optimization ◽  
Wheel Slip ◽  
Slip Ratio ◽  
The Law ◽  
Input Variables ◽  
Fuzzy Control Strategy

In this paper, the fuzzy control strategy is introduced, and then it proposes a two-dimensional fuzzy control method which takes the tractor driving wheel slip ratio and the engine throttle opening as input variables, while uses gear correction as output variable. Based on these, a fuzzy controller is designed to optimize the law of downshifting of tractor AMT. Subsequently, a best tractor AMT shift rule is formed through optimal combination of resolution obtained by the law of up-shifting. At last, simulation analysis is made on the basis of the simulation model established of tractor AMT shifting process. The results show that shift cycle can be effectively avoided and shift shock will reduced in the process of shifting, which makes the quality of shifting better and greatly improve the performance of the tractor.

A software development system for fuzzy control

Robotica ◽  
2000 ◽  
Vol 18 (4) ◽  
pp. 375-380 ◽  
Author(s):  
Jie Yang ◽  
Yingkai Guo ◽  
Xin Huang
Keyword(s):  
Software Development ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Electrical Equipment ◽  
Fuzzy Rules ◽  
Input Output ◽  
Automatic Learning ◽  
Development System ◽  
Combination Optimization ◽  
Software Development System

Fuzzy control has been widely applied in industrial controls and domestic electrical equipment. The automatic learning of fuzzy rules is a key technique in fuzzy control. In this paper, a software development system for fuzzy control is presented. Since the learning of fuzzy rules can be seen as finding the best classifications of fuzzy memberships of input-output variables in a fuzzy controller, it can also be seen as the combination optimization of input-output fuzzy memberships. Multi-layer feedforward network and genetic algorithms (GA) can be used for the automatic learning of fuzzy rules. The algorithms and their characteristics are described. The software development system has been successfully used for the design of some fuzzy controllers.

scholarly journals Fuzzy Control Strategy Applied to Adjustment of Front Steering Angle of a 4WSD Agricultural Mobile Robot

Lámpsakos ◽  
2012 ◽  
pp. 31
Author(s):  
Henry Borrero-Guerrero ◽  
Rafael Bueno-Sampaio ◽  
Marcelo Becker
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Steering System ◽  
Steering Angle ◽  
Lateral Dynamics ◽  
Controller Performance ◽  
Fuzzy Control Strategy ◽  
Real Scale

This paper presents the preliminary studies of the control strategy based in fuzzy logic, projected for the steering system of AGRIBOT project that consist of a wheeled autonomous mobile robotic in real scale endowed with four independent steering and driven wheels (4WSD). In this work we present a preliminary fuzzy controller design applied to front steering angle, using a multivariable plant which incorporates simplified linear model of lateral dynamics of a vehicle whose input are linear combination of rear and front steering angles. The fuzzy control strategy was decided because provides flexible way to deploy with embedded systems. Simulations are used to illustrate the designed controller performance. We use Ackerman geometry to trace front steering angle that allows the vehicle to perform correctly a given maneuver preserving a minimum level of stability and maneuverability. The goal is to establish a relationship between steering input commands and the control commands to the actuators so that it is possible to adjust the attitude of the actuators over the movement axis, as the trajectory change.

Application of Fuzzy Control Technology in a Sonar-Based Obstacle Avoidance Intelligent Wheelchair

2013 ◽  
Vol 321-324 ◽  
pp. 2004-2008 ◽  
Author(s):  
Ting Su ◽  
Guo Hua Cao ◽  
Ji Hua Hu
Keyword(s):  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Control Technology ◽  
Application System ◽  
Intelligent Wheelchair ◽  
System Use ◽  
Measured Distance ◽  
Fuzzy Control Strategy

The paper presents a kind of application system combining fuzzy control technology and ultrasonic obstacle avoidance technology for the intelligent wheelchair (iwheelchair). The system use the ultrasonic measured-distance as the input signal and the output signal is the speed of the iwheelchair to avoid obstacle. The fuzzy controller is designed in Matlab platform and simulated according to the obtained fuzzy control strategy. The fuzzy control technology has been applied successfully in ultrasound obstacle avoidance system for the intelligent wheelchair.

On-Ramp Fuzzy Metering and Simulation in Urban Expressway

2012 ◽  
Vol 229-231 ◽  
pp. 1998-2001
Author(s):  
Xue Wen Chen
Keyword(s):  
Fuzzy Controller ◽  
Traffic Information ◽  
High Complexity ◽  
Matlab Toolbox ◽  
Combine Influence ◽  
Simulation Research ◽  
Traffic State ◽  
Urban Expressway ◽  
Fuzzy Logic Approach ◽  
Logic Approach

In view of the high complexity and uncertain characteristics of traffic flow in urban expressway, a fuzzy logic approach is proposed to adjust the number of vehicles entering a mainline of urban expressway via entrance ramp during rush traffic times. Taking account of the combine influence of traffic state on mainline and the on-ramp queue at Surface Street, the on-ramp fuzzy controller of urban expressway is designed based on such traffic information as the speed downstream mainline, time occupancy upstream mainline, and on-ramp queue length at the Surface Street. Simulation research based on MATLAB toolbox is carried out and the results show that the fuzzy controller is feasible and reasonable to confirm the number of vehicles entering the mainline of urban expressway.

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