Improvement of Torque Control for an Assistant Electric Power Steering System using a Type-2 Fuzzy Logic Controller
Received: 15 April 2024 | Revised: 7 May 2024 | Accepted: 10 May 2024 | Online: 7 June 2024
Corresponding author: Vo Thanh Ha
Abstract
This article explains how a type 2 fuzzy logic controller can improve the torque of a 3-phase Permanent Magnet Synchronous Motor (PMSM) in an electric power steering system. The goal is to ensure effective electric power steering under various road conditions and speeds. The implementation of type-2 FLS involves fuzzification, inference, and output processing. Type-reduction methods are more advanced than type-1 defuzzification methods, handling more rule uncertainties. While computationally demanding, a simple type-reduction computation process is outlined for interval type-2 fuzzy sets. The type 2 fuzzy logic controller algorithm manages the PMSM motor using Field-Oriented Control (FOC), adjusting the motor voltage based on torque, speed, and steering angle sensor inputs. The study's results provide a solid basis for future research on designing and controlling electric power steering systems with precision and efficiency. This research sets the stage for improved electric power steering systems, contributing to the development of intelligent automotive technologies.
Keywords:
PMSM, FOC, EPS, type-2 FLCDownloads
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