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

Abstract

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.

Artificial intelligence-enhanced DTC command methods used for a four-wheel-drive system

“…The simulation parameters used in this paper were chosen after an investigation in the literature. They come from the papers of [28], [29] with prototyping but also the papers [20], [27]. Table 2 gives the information of the path traveled by the vehicle.…”

“…Inter relationships between slip ratio  and the traction coefficient  can be described by various formulas. In this study, the widely adopted magic formula [21], [22], is applied to describe relationship between sliding and tensile forces in order to build a vehicle model in which following simulations are indicated by (19) [23], [24].…”

“…So when: δ> 0 → Turn right, δ = 0 → Straight ahead, and δ <0 → Turn left It is possible to determine the reference speeds in relation to the driver's requirements. When vehicle arrives at the start of a path, the driver applies a steering angle on its wheel [21], [27]. The ED acts instantly on both motors, reducing the speed of the wheel drive located at the inside position of the curve, thus increasing the speed of the driving wheel outside the curve.…”