Fault-Tolerant Control Based on Model Reference Adaptive Control for Automotive Electric Machines

Automotive electric machines represent the core of the driving and supply line of the vehicle; therefore, it is crucial to ensure an acceptable and reliable performance all the time. This research paper presents a novel approach of fault-tolerant control based on model reference adaptive control for automotive electric machines. The approach is applied to a parameterized model of the alternator and takes advantage of the emerging concept of digital twin. This paper extends the work of our previous research articles in the domain of fault detection and identification to include a mechanism to maintain the desired performance and ensure a safe and acceptable driving experience. The simulation results have shown powerful performance recovery provided by the adaptive control law.