Q. Song and K.M. Grigoriadis (USA)
Engine control; linear parameter varying control; control applications
Traditionally, engine speed regulation is achieved using classical gain-scheduled PID control to address the variable operating conditions of the engine. However, this approach provides no guarantees for closed-loop system stability or performance. In this work, a model-based linear parameter varying (LPV) approach is applied to address the fast operating condition changes of the engine and to guarantee system stability and optimized torque load rejection in the presence of variable transport delays and fuel saturation constraints. The design method is formulated in terms of linear matrix inequalities (LMIs) that can be solved efficiently using interior point convex optimization algorithms. The proposed control designs are validated using both nonlinear off-line simulations and real-time hardware-in-the-loop (HIL) implementation for a Cummins diesel engine model.
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