Design of Fuzzy Logic Controller for Four Wheel Steering System

2005 ◽  
Author(s):  
Evren Ozatay ◽  
Samim Y. Unlusoy ◽  
Murat A. Yildirim
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Steering System ◽  
Front Wheel ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Nonlinear Vehicle Model ◽  
Three Degree Of Freedom ◽  
Vehicle Dynamics Control

Integration of the driver’s steering input together with the four-wheel steering system (4WS) in order to improve the vehicle’s dynamic behavior with respect to yaw rate and body sideslip angle is possible with intelligent vehicle dynamics control systems. The goal of this study is to develop a fuzzy logic controller for this purpose. In the first stage of the study, a three-degree of freedom nonlinear vehicle model including roll dynamics is developed. The Magic Formula is applied in order to formulate the nonlinear characteristics of the tires. In the design of the fuzzy logic controller, a two-dimensional rule table is created based on the error and on the change in the error of sideslip angle, which is to be minimized. Fuzzy logic controlled model is then compared with front wheel steering vehicle and the vehicles having different control strategies that have previously been studied in literature. Simulations indicate that fuzzy logic controlled vehicle can provide zero body sideslip angle in transient motion and quick response in terms of yaw rate during steady state cornering and lane change maneuvers.

scholarly journals Feedback Loop Control Strategies of the Multi Dc Bus Link Voltages Using Adaptive Fuzzy Logic Control

2013 ◽  
Vol 64 (3) ◽  
pp. 143-151
Author(s):  
Farid Bouchafaa ◽  
Mohamed Seghir Boucherit ◽  
El Madjid Berkouk
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Harmonic Distortion ◽  
Power Converter ◽  
Voltage Source ◽  
Switching Frequency ◽  
Pwm Rectifier ◽  
Loop Control ◽  
Multilevel Inverters

Voltage source multilevel inverters have become very attractive for power industries in power electronics applications during last years. The main purposes that have led to the development of the studies about multilevel inverters are the generation of output voltage signals with low harmonic distortion; the reduction of switching frequency. A serious constraint in a multilevel inverter is the capacitor voltage-balancing problem. The unbalance of different DC voltage sources of five-level neutral point clamping (NPC) voltage source inverter (VSI) constitutes the major limitation for the use of this new power converter. In order to stabilize these DC voltages, we propose in this paper to study the cascade constituted by three phases five-level PWM rectifier, a clamping bridge and five-level NPC (VSI). In the first part, we present a topology of five-level NPC VSI, and then they propose a model of this converter and an optimal PWM strategy to control it using four bipolar carriers. Then in the second part, we study a five-level PWM rectifier, which is controlled by a multiband hysteresis strategy. In the last part of this paper, the authors study shows particularly the problem of the stability of the multi DC voltages of the inverter and its consequence on the performances of the induction motors (IM). Then, we propose a solution to the problem by employed closed loop regulation using PI regulator type fuzzy logic controller (FLC). The results obtained with this solution confirm the good performances of the proposed solution, and promise to use the inverter in high voltage and great power applications as electrical traction.

Improvement of Power Quality for Microgrid using Fuzzy Based UPQC Controller

2015 ◽  
Vol 4 (2) ◽  
pp. 37
Author(s):  
Abdul Rasheed ◽  
G. Keshava Rao
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Distributed Energy ◽  
Micro Grid ◽  
Hybrid Filters ◽  
Micro Grids

<p>Generally, the power systems are mainly effected by the continuous changes in operational requirement and increasing amount of distributed energy systems. This paper proposes a new concept of power-control strategies for a micro grid generation system for better transfer of power. The micro grids are obtained with the general renewable energy sources and this concept provides the maximum utilization of power at environmental free conditions with low losses; then the system efficiency is also improved. This paper proposes a single stage converter based micro grid to reduce the number of converters in an individual ac or dc grid. The proposed micro grid concept can work in both stand-alone mode and also in grid interfaced mode. The distortions that occur in power system due to changes in load or because of usage of non-linear loads, can be eliminated by using control strategies designed for shunt active hybrid filters such as series and shunt converters. A conventional Proportional Integral (PI) and Fuzzy Logic Controllers are used for power quality enhancement by reducing the distortions in the output power. The simulation results are compared among the two control strategies, that fuzzy logic controller and pi controller.</p>

The Steering Performance Analysis of Multi-Axle Vehicle Based on Sideslip Angle Control Strategy

2014 ◽  
Vol 701-702 ◽  
pp. 799-802
Author(s):  
Ping Xia Zhang ◽  
Li Gao ◽  
Yong Qiang Zhu
Keyword(s):  
Control Strategy ◽  
Front Wheel ◽  
Convergence Time ◽  
Step Response ◽  
Steering Angle ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Test Variable ◽  
Adams Software ◽  
Controlling Variables

Because there are several axles in multi-axle vehicle, steering controlling is very complex. It is proposed to use the front wheel steering angle and D as input controlling variables, and to realize centroid sideslip angle control. A five-axle vehicle model was built with ADAMS software, and the control strategy was built with Simulink software. The steering angle step response simulations were processed, such as only font wheels steering, fixed D value steering, and different sideslip angle control strategy. It is found that for only font wheels steering test, variable sideslip angle control strategy could make the overshoot of yaw rate reduce from 98% to 10%, convergence time reduce to 57%.

Design of an Integrated AFS/ACD Control System to Enhance 4WD Vehicles Dynamics and Stability

2010 ◽  
Author(s):  
Avesta Goodarzi ◽  
Samaneh Arabi ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Traction Force ◽  
Slip Angle ◽  
Force Distribution ◽  
Vehicle Stability ◽  
Handling Performance ◽  
Yaw Rate ◽  
The Ideal

An integrated vehicle dynamic control system for a four-wheel drive vehicle with an active front steering (AFS) and active centre differential (ACD), based on fuzzy logic control, is developed to improve the vehicle stability and its handling performance. The control system has a hierarchical structure consisting of two layers. A fuzzy logic controller is used in the upper layer to keep the yaw rate in its desired value. The yaw rate error and the side slip angle are applied to the upper controlling layer as the inputs, where the desired traction torque transfer ratio and the steering angle correction of the front wheels are the outputs. However, the ideal control effectors could not directly be the control inputs for the centre differential. Therefore, in the lower control loop, one should map the ideal control effectors to the physical control inputs for the centre differential by optimum dynamic traction force distribution. A nonlinear eight degree-of-freedom (DOF) vehicle model with the traction force distribution being utilized by a PI controller is considered. The simulation results illustrate considerable improvements have been achieved for the vehicle stability and handling performance through the integrated AFS/ACD control system.

scholarly journals A simplify fuzzy logic controller design based safe experimentation dynamics for pantograph-catenary system

2019 ◽  
Vol 14 (2) ◽  
pp. 903 ◽  
Author(s):  
Mohd Faisal Farhan ◽  
Nor Sakinah Abdul Shukor ◽  
Mohd Ashraf Ahmad ◽  
Mohd Helmi Suid ◽  
Mohd Riduwan Ghazali ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Contact Force ◽  
High Speed ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Essential Feature ◽  
Fast Response ◽  
Model Free ◽  
Catenary System ◽  
Three Degree Of Freedom

Contact force between catenary and pantograph of high speed train is a crucial system to deliver power to the train. The inconsistence force between them can cause the contact wire oscillate a lot and it can damage the mechanical structure of system and produce electric arc that can reduce the performance of system. This project proposes a single-input fuzzy logic controller (SIFLC) to control the contact force between the pantograph-catenary by implement Safe Experimentation Dynamics (SED) method to tune the SIFLC parameters. The essential feature of SIFLC is that it is model-free type controller design with less pre-defined variables as compared to other existing model-based controllers. The performance of the SIFLC is analyzed in terms of input tracking of contact force of pantograph-catenary and time response specifications. A simplified model of three degree of freedom (3-DOF) pantograph-catenary system is considered. In this study, the simulation result shows that the SIFLC successfully track the given contact force with less overshoot with percentage different of peak to peak response  from actual force 2% and fast response within 5.27s

scholarly journals A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant

2021 ◽  
Author(s):  
S. Saravana Kumar ◽  
K. Latha
Keyword(s):  
Fuzzy Logic ◽  
Wastewater Treatment ◽  
Fuzzy Logic Controller ◽  
Wastewater Treatment Plants ◽  
Control Strategies ◽  
Treatment Plant ◽  
Vital Role ◽  
Effluent Quality ◽  
Control Scheme ◽  
Control Schemes

Abstract The application of control strategies in wastewater treatment plants has increased to improve its performance of treating the influent. Fuzzy Logic controller plays a vital role in this work and the simulation work is being carried out in Benchmark simulation model no.1 (BSM1) framework. The attempted work proposes two control schemes with the objectives of improving the effluent quality and minimizing the number of measurements taken from the plant. The design of fuzzy control schemes is based on 5 inputs and 6 outputs in order to accomplish the objectives. Experimental results show improvement in the effluent quality and increase in the efficacy of the control system. The proposed design is implemented using MATLAB with the adaptation of 2014a.

scholarly journals Power quality problems mitigation using dynamic voltage restorer (DVR) with pi controller and fuzzy logic controller

2018 ◽  
Vol 7 (2.12) ◽  
pp. 214
Author(s):  
Te Jaswini Sarwade ◽  
V S. Jape ◽  
D G. Bharadwaj
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Distribution Network ◽  
Pi Controller ◽  
Dynamic Voltage Restorer ◽  
Voltage Restorer ◽  
Dynamic Voltage

The existence of non-standard currents, frequencies and voltages enhances the Power Quality (PQ) problems. Power consumed by the consumers and losses occurred in power system are deciding factors for the utility to determine the performance of the power system in terms of Power Quality. These Power Quality problems lead to failure of end user equipments as well as creates disturbances in power distribution network, thereby deteriorates residual life assessment of major equipments used in substation. The PQ problems can be characterized as voltage surges, sags, swells, harmonic distortions, etc. There are many reasons for the determination of Power Quality. The loads used by the consumers of electricity abnormally leads to deprove the Power Quality. Low power factor loads are taken care of by the utilities in the form of financial penalty. However, occurrence of harmonics, voltage swells and sags in the system is the most powerful reason behind degradation of Power Quality. To mitigate these issues, use of Custom Power Devices (CPD) in the distribution network is the most significant solution. Paper presents the design of the CPD like Dynamic Voltage Restorer (DVR) using two control strategies i.e. PI Controller and Fuzzy Logic Controller (FLC). MATLAB/SIMULINK is used to analyze the effectiveness of these control strategies. 

scholarly journals Identification of an optimum control algorithm to reject unwanted yaw effect on wheeled armored vehicle due to the recoil force

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668335 ◽  
Author(s):  
Vimal R Aparow ◽  
Khisbullah Hudha ◽  
Zulkiffli A Kadir ◽  
Noor H Amer ◽  
Shohaimi Abdullah ◽  
...  
Keyword(s):  
Dynamic Condition ◽  
Control Strategies ◽  
External Disturbance ◽  
Steering System ◽  
Front Wheel ◽  
Optimum Control ◽  
Active Safety System ◽  
Armored Vehicle ◽  
The Stability ◽  
Yaw Moment

This article presents an active safety system for a wheeled armored vehicle to encounter the effect of the firing force. The firing force which acts as an external disturbance causes unwanted yaw moment occurred at the center of gravity of the wheeled armored vehicle. This effect causes the wheeled armored vehicle lose its handling stability and the traveling path after the firing condition. In order to overcome the stability problem, a Firing-On-the-Move assisted by an Active Front Wheel Steering system is proposed in this study. This system is developed based on two established systems, namely, Firing-On-the-Move and Active Front Wheel Steering systems. The proposed system is designed to improve the handling and directional stability performances of the armored vehicle while fires in dynamic condition. Four types of control strategies are designed and investigated in this study to identify the most optimum control strategy as the Firing-On-the-Move assisted by an Active Front Wheel Steering system using optimization tool, genetic algorithm. The control strategies for the Firing-On-the-Move assisted by an Active Front Wheel Steering are evaluated using various types of vehicle speeds and firing angle in order to obtain an appropriate control structure as the Firing-On-the-Move assisted by an Active Front Wheel Steering system for the wheeled armored vehicle.

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