Manfeng Dou

TL;DR: In this paper, a semi-physical modeling method is adopted to analyze the operating property of a centrifugal compressor, which is more suitable for automotive fuel cells because of its compactness, and a dynamic feedforward controller is proposed based on the load torque to control the air mass flow, eliminating the disturbance produced by the compressor load in transient.

TL;DR: A unique dynamic DDC strategy, based on the active disturbance rejection control (ADRC) framework, is developed to control the mass flow and pressure simultaneously and shows that, compared with a traditional PI controller, this controller performs better in both the transient and steady states.

TL;DR: A neural network model of the compressor is developed, and a decentralized sliding-mode controller based on twisting and super twisting algorithms is proposed and tested to control the compressor pressure and mass flow and shows good dynamic characteristics and faster response compared with conventional proportional-integral (PI) control.

TL;DR: DFCB-MPTC of induction machine is proposed to compensate lumped disturbance and improve the performance of the system, and a simplified stator flux observer is proposed, whose gain matrix is independent of rotor speed.

TL;DR: In this article, a control technology of an ultra-high-speed centrifugal compressor for the air management of proton exchange membrane fuel cells for automotive applications is proposed, where a reference limiter restricts the trajectory of the operating points in the right region of the surge line to ensure the safety of the compressor.