High Performance Control of a Permanent Magnet Synchronous Motor for Electric Vehicle Applications

Abstract

According to the characteristics of multiple-input multiple-output, nonlinearity, and strong-coupling of the permanent magnet synchronous motor (PMSM) for electric vehicle (EV) applications, a high performance control strategy based on neural network (NN) inverse (NNI) is proposed. The mathematical model of the PMSM is given, and then the reversibility of the PMSM is proved. After analyzing the inverse model of the PMSM, a NN is adopted to identify the inverse model of the PMSM. By combining the NNI, which is composed of a static NN and two integrators, with the PMSM, the original system is transformed into a pseudo-linear system. Therefore, it is easy to design the close-loop linear controller for the PMSM. Finally, the simulations are carried out, and the results confirm that the good static and dynamic control performance, high-precision speed tracking feature, and strong anti-interference capability can be achieved using the proposed strategy.

Dual Model Predictive Control Strategy of Direct‐Drive PMSM Based on Sliding Mode Disturbance Observer

“…However, PMSM is nonlinear, strongly coupled, and multivariate. In direct‐drive system, the load and other disturbances directly act on the motor, which makes it difficult for the existing control strategy to meet requirements of the PMSM‐based direct drive system, such as accuracy, fast speed regulation and strong disturbance resistance [4–6].…”

UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor

“…Permanent magnet synchronous motor (PMSM) has been widely used in the fields of new energy vehicles, power generation, and servo drive due to its advantages of large starting torque, high operation efficiency, high power density, and low failure rate (Chen et al, 2014;Chen et al, 2019;Cui et al, 2020;Wang et al, 2021). In the traditional vector control system, sensors are usually used to obtain rotor speed and position information; but in practical application, the existence of sensors increases the motor volume and system cost, and it is difficult to install and maintain in some harsh environments, which reduces the reliability of the system (Pan and Gao, 2018).…”

Winding Turn-to-Turn Faults Detection of Fault-Tolerant Permanent-Magnet Machines Based on a New Parametric Model

“…Very recently, a new five-phase FTPM machines were proposed for four-wheel independently driven EVs as shown in Fig. 1 [11], offering high fault-tolerant capability. Although there is a number of PM machine model with inter-turn fault [12], [13], the model of five-phase fault-tolerant machine with stator interturn fault is unavailable.…”