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Research on Control Strategy of the Electric Power Steering System for All-Terrain Vehicles Based on Model Predictive Current Control

Jie Chen, Yanling Guo

2021Mathematical Problems in Engineering15 citationsDOIOpen Access PDF

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.

Topics & Concepts

Control theory (sociology)RippleTorqueTorque rippleCurrent (fluid)VoltageVector controlPower (physics)Model predictive controlEngineeringTerrainDirect torque controlComputer scienceControl (management)Induction motorPhysicsElectrical engineeringEcologyArtificial intelligenceQuantum mechanicsBiologyThermodynamicsMultilevel Inverters and ConvertersElectric and Hybrid Vehicle TechnologiesReal-time simulation and control systems
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