Simulation Model for Electric Power Steering System

The development of a simulation model for electric power-assisted steering system, which constitutes the core of my undergraduate graduation project, represents a critical advancement in automotive safety and driving experience enhancement. This research project employs MATLAB/Simulink to create a comprehensive simulation environment that models the electric power steering (EPS) system dynamics, including torque sensor inputs, motor control algorithms, and steering column mechanics. The simulation incorporates PID controller implementation for motor torque compensation and vehicle speed-dependent assistance curves. Through systematic analysis of simulated performance data under various driving scenarios - including low-speed maneuverability and high-speed stability tests - the model validates the feasibility and effectiveness of electric power-assisted steering systems. The code structure features modular design with separate function blocks for sensor data processing, motor control logic, and system integration, allowing for parameter tuning and scenario testing. This research provides fundamental insights into EPS system behavior and establishes a computational foundation for developing more advanced, efficient electric power steering systems that can deliver precise, responsive, and effortless steering control to drivers.