scholarly journals DTC with fuzzy logic for multi-machine systems: traction applications

2021 ◽  
Vol 12 (4) ◽  
pp. 2044
Author(s):  
Ndoumbé Matéké Max ◽  
Nyobe Yomé Jean Maurice ◽  
Eke Samuel ◽  
Mouné Cédric Jordan ◽  
Alain Biboum ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Method ◽  
Direct Torque Control ◽  
Torque Control ◽  
Stress Tests ◽  
Technical Performance ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Machine Systems

In this work, a direct torque control (DTC) method for multi-machine systems is applied to electric vehicles (EVs). Initially, the DTC control method associated with the model reference adaptive system (MRAS) is used for speed control, and management of the magnetic quantities is ensured by the variable master-slave control (VMSC). In order to increase the technical performance of the studied system, a DTC method has been associated with a fuzzy logic approach. These two control methods are applied to the traction chain of an electric vehicle to highlight its speed, precision, stability, and robustness metric during particular stress tests imposed on the wheel motor. The results obtained in MATLAB/Simulink software made feasible a comparison of two proposed methods based on their technical performances. It should be noted that the direct fuzzy logic torque control (DFTC) has better performance than the DTC associated with the MRAS system as a rise time reduction of 1.4%, an oscillation of torque, and flux amplitude of less than 9%, static steady-state error near zero. The DTFC control method responds favorably to electric vehicle traction chain systems by the nature of the comfort and safety provided.

Hybrid Anti-Windup Fuzzy PI Controller Based Direct Torque Control of Three Phase Induction Motor

2014 ◽  
Vol 573 ◽  
pp. 155-160
Author(s):  
A. Pandian ◽  
R. Dhanasekaran
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Fuzzy Controller ◽  
Direct Torque Control ◽  
Operating Conditions ◽  
Torque Control ◽  
Constant Speed ◽  
Three Phase

This paper presents improved Fuzzy Logic Controller (FLC) of the Direct Torque Control (DTC) of Three-Phase Induction Motor (IM) for high performance and torque control industrial drive applications. The performance of the IM using PI Controllers and general fuzzy controllers are meager level under load disturbances and transient conditions. The FLC is extended to have a less computational burden which makes it suitable for real time implementation particularly at constant speed and torque disturbance operating conditions. Hybrid control has advantage of integrating a superiority of two or more control techniques for better control performances. A fuzzy controller offers better speed responses for startup and large speed errors. If the nature of the load torque is varied, the steady state speed error of DTC based IM drive with fuzzy logic controller becomes significant. To improve the performance of the system, a new control method, Hybrid fuzzy PI control is proposed. The effectiveness of proposed method is verified by simulation based on MATLAB. The proposed Hybrid fuzzy controller has adaptive control over load toque variation and can maintain constant speed.

Direct Torque Control of Interior Permanent Magnet Synchronous Motors Based on Position Sensorless Control

2013 ◽  
Vol 756-759 ◽  
pp. 627-631
Author(s):  
Zhao Jun Meng ◽  
Rui Chen ◽  
Yue Jun An
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicle ◽  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Permanent Magnet Synchronous Motors ◽  
Interior Permanent Magnet ◽  
Position Sensorless

The position sensorless control method based on direct torque control was carried out aiming at the interior permanent magnet synchronous motor (IPMSM) in this paper. To the consideration of electric vehicle space is limited, in order to reduce the controller size to save space, this paper studied the sensorless control. Meanwhile, in order to improve the control rapidity as much as possible of the electric vehicle, take direct torque control as a control method of the driving motor. Finally, designed the sensorless direct torque controller and studied its simulation. Simulation results show that the control system have good dynamic and static characteristics in the full speed range.

scholarly journals Improved DTC strategy of an electric vehicle with four in-wheels induction motor drive 4WDEV using fuzzy logic control

2021 ◽  
Vol 12 (2) ◽  
pp. 650
Author(s):  
Nair Nouria ◽  
Gasbaoui Brahim Ghazouni Abdelkader ◽  
Benoudjafer Cherif
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Induction Motors ◽  
Control Strategies ◽  
Direct Torque Control ◽  
Torque Control ◽  
The Road ◽  
Time Simulation ◽  
Wheel Drive ◽  
Four Wheel Drive

In this paper, we will study a four-wheel drive electric vehicle (4WDEV)with two control strategies: conventional direct torque control CDTC and DTC based on fuzzy logic (DTFC). Our overall idea in this work is to show that the 4WDEV equipped with four induction motors providing the drive of the driving wheels controlled by the direct fuzzy torque control ensures good stability of the 4WDEV in the different topologies of the road, bends and slopes. and increases the range of the electric vehicle. Numerical simulations were performed on an electric vehicle powered by four 15 kW induction motors integrated into the wheels using the MATLAB / Simulink environment, where the reference speeds of each wheel (front and rear) are obtained using an electronic speed differential (ESD). This can eventually cause it to synchronize the wheel speeds in any curve. The speed of each wheel is controlled by two types of PI and FLC controllers to improve stability and speed response (in terms of setpoint tracking, disturbance rejection and climb time). Simulation results show that the proposed FLC control strategy reduces torque, flux and stator current ripple. While the4WDEV range was improved throughout the driving cycle and battery power consumption was reduced.

Multi-input multi-output fuzzy logic controller for utility electric vehicle

2011 ◽  
Vol 60 (3) ◽  
pp. 239-256 ◽  
Author(s):  
Brahim Gasbaoui ◽  
Chaker Abdelkader ◽  
Laoufi Adellah
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Direct Torque Control ◽  
Torque Control ◽  
Control Technique ◽  
Single Input Single Output ◽  
Driving Wheel ◽  
On The Road

Multi-input multi-output fuzzy logic controller for utility electric vehicle Currently commercialization of electric vehicle (EV) is based to minimize the time of starting and acceleration. To undergo this problem multi-input multi-output fuzzy logic controller (MIMO-FLC) affect on propelled traction system forming MMS process was proposed. This paper introduces a MIMO-FLC applied on speeds of electric vehicle, the electric drive consists of two directing wheels and two rear propulsion wheels equipped with two light weight induction motors. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. Acceleration and steering are ensured by an electronic differential system which maintains robust control for all cases of vehicle behavior on the road. It also allows controlling independently every driving wheel to turn at different speeds in any curve. Direct torque control based on space vector modulation (DTC-SVM) is proposed to achieve the tow rear driving wheel control. The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results have proved that the MIMO-FLC method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the single input single output fuzzy controller (SISO-FLC).

Sign in / Sign up

Export Citation Format

Share Document