Abstract

Aiming at the high demand for the torque response speed and torque pulsation of the all-terrain vehicle (ATV) Electric Power Steering (EPS) system, this paper proposes to apply the Model Predictive Current Control to the all-terrain vehicle EPS system. A Novel Three-Vector Model Predictive Current Control (N3V-MPCC) is proposed in this paper to reduce the current ripple and reduce the calculation load. Two effective voltage vectors and a zero vector are selected in the control period through only six times of prediction and application of the Sector Vector Selection method. The duration of each voltage is calculated and output to the Voltage Source Inverter (VSI). Simulation and experimental results show that, compared with PID cascade Field Oriented Control (PI-FOC), N3C-MPCC can effectively reduce the ripple current of the d-axis and the q-axis. In the simulated electric power mode, the q-axis current ripple of the N3V-MPCC is reduced by 66.67%. Experimental results show that the current ripple of the motor is reduced by 60%, and the torque pulsation is reduced by 62.5%. Therefore, N3V-MPCC has a faster current response speed and smooth steering torque.

Highlights

  • All-Terrain Vehicles (ATV) [1] are widely used in agriculture, forestry, entertainment, and military fields because of their excellent passing performance. e ATV uses lowpressure wide tires, making it easy to shuttle through harsh terrains such as sand and riverbeds

  • Electric Power Steering system (EPS) system has the advantages of lightweight, high efficiency, and energy-saving and gradually replaces the Hydraulic Power Steering system (HPS)

  • Surface PermanentMagnet Synchronous Motors (SPMSM) has the characteristics of small size, high power density, and a large torque-to-inertia ratio [4, 5] and is widely used in electric vehicles [6] and industrial equipment fields. e motor control method is the key to the EPS system to achieve high steering accuracy and improve vehicle steering stability [7]

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Summary

Introduction

All-Terrain Vehicles (ATV) [1] are widely used in agriculture, forestry, entertainment, and military fields because of their excellent passing performance. e ATV uses lowpressure wide tires, making it easy to shuttle through harsh terrains such as sand and riverbeds. E motor control method is the key to the EPS system to achieve high steering accuracy and improve vehicle steering stability [7]. E current EPS system research is based on accurate mathematical models, and it has become a trend to use MPC to design control strategies. MPCC uses the motor d-axis and qaxis currents as control variables and does not need to design weight factor, nor does it need to predict torque and flux linkage, which is simpler than the MPTC algorithm. Erefore, this paper proposes a Novel reeVector Model Predictive Current Control (N3V-MPCC), which obtains the first optimal vector through 6 iterations. Combine the deadbeat current principle and the SPMSM mathematical model; calculate the error between the target vector and the first optimal vector.

Principle of N3V-MPCC
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Findings
Simulation and Experiment
Full Text
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