Electric Power Steering Actuator Simulation Performance Data

Tuan Anh Nguyen published a dataset on figshare in April 2026 containing simulation results for an Electric Power Steering (EPS) actuator control scheme. The data, stored in an XLS file of 5.5 KB, includes performance metrics like Root Mean Square tracking errors for steering angles and total energy consumption. The simulation compares a proposed nonlinear robust control method against traditional strategies under conditions with and without nonlinear friction and parameter uncertainties.

Use Cases

• Benchmarking control algorithm performance based on reported Root Mean Square (RMS) tracking error metrics
• Analyzing energy efficiency in actuator systems based on the total energy consumption data
• Comparing the effects of nonlinear friction and parameter uncertainties on steering angle tracking
• Evaluating the reduction of overshooting, phase lag, and chattering in control schemes

Strengths

• Includes specific quantitative performance metrics: RMS errors of 0.165% and 0.172% for steering angles under ideal conditions
• Reports comparative results under adverse conditions, with errors increasing to 0.704% and 0.736%
• Provides a concrete energy consumption figure of 1194.581 J for the proposed controller

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Tuan Anh Nguyen via figshare

Collection Method

Simulation results from a proposed control scheme study

Time Range

Simulation date range is not specified

Freshness

Last updated 2026-04-09 17:27:03; freshness should be verified

Geography

Spatial coverage is not specified