Suzanne Kay Wait

Reference Governors for Enforcing Compressor Surge Constraints

In turbocharged gasoline engines, the violation of the compressor surge constraint can be prevented by exploiting predictive control techniques based on the reference governor (RG). In this paper, two RG designs are considered: an inner-and an outer-loop RG. The inner-loop design governs the throttle command, and the outer-loop governs the requested air charge command. Numerical simulations and the experimental vehicle results are presented, showing that both designs enforce the surge constraint without the use of a compressor bypass valve, but that the inner-loop design requires scheduling in order to do so.

Adaptation for Air-Intake System Throttle Control in a Gasoline Engine With Low-Pressure Exhaust-Gas Recirculation

We investigate control strategies for traditional throttle-in-bore as well as low-cost cartridge-style throttle bodies for the air-intake system (AIS) throttle used in low-pressure exhaust-gas recirculation (LPEGR) on a turbocharged gasoline engine. Pressure sensors placed upstream and downstream of the AIS throttle are available as signals from the vehicle’s engine control unit, however, we do not use high-bandwidth feedback control of the AIS throttle in order to maintain frequency separation from the higher-rate EGR loop, which uses the downstream pressure sensor for feedback control. A design-of-experiments conducted using a feed-forward lookup table-based AIS throttle control strategy exposes controller sensitivity to part-to-part variations. For accurate tracking in the presence of these variations, we explore the use of adaptive feedback control. In particular, we use an algebraic model representing the throttle plate effective opening area to develop a recursive least-squares (RLS)-based estimation routine. A low-pass filtered version of the estimated model parameters is subsequently used in the forward-path AIS throttle controller. Results are presented comparing the RLS-based feedback algorithm with the feed-forward lookup table-based control strategy. RLS is able to adapt for part-to-part and change-over-time variabilities and exhibits an improved steady-state tracking response compared to the feed-forward control strategy.Copyright