Physics

Control engineering

Aerospace engineering

Nonlinear system

Automotive engineering

Gene

Geodesy

Engineering

Model predictive control

Benchmark (surveying)

Artificial intelligence

Geography

Control (management)

Chemistry

Computer science

Automotive industry

Quantum mechanics

Brake

Vehicle dynamics

Braking system

Control theory (sociology)

Biochemistry

Robustness (evolution)

Anti-lock braking system

IEEE Access

Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-based control strategies. ABS performance, however, can be significantly improved thanks to many recent technological developments. This work presents an extensive review of the state of the art to verify such a statement and quantify the benefits of a new generation of wheel slip control (WSC) systems. Motivated by the state of the art, as a case study, a nonlinear model predictive control (NMPC) design based on a new load-sensing technology was developed. The proposed ABS was tested on Toyota's high-end vehicle simulator and was benchmarked against currently applied industrial controller. Additionally, a comprehensive set of manoeuvres were deployed to assess the performance and robustness of the proposed NMPC design. The analysis showed substantial reduction of the braking distance and better steerability with the proposed approach. Furthermore, the proposed design showed comparable robustness against external factors to the industrial benchmark.

Survey on Wheel Slip Control Design Strategies, Evaluation and Application to Antilock Braking Systems