Switch gain scheduled explicit model predictive control of diesel engines
AssigneesToyota Motor Engineering & Manufacturing North America, Inc., The Regents of the University of Michigan
InventorsMike Xuli Huang, Ilya Kolmanovsky
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Abstract
A method for controlling an internal combustion engine using a controller that controls an air flow path by adjusting at least one of a variable geometry turbine (VGT) and an exhaust gas recirculation (EGR) flow rate during engine operation. The method determines inputs, such as engine speed and fuel rate from the sensor data, and employs a switch based gain-scheduled explicit model predictive controller (MPC) responsive to the inputs to determine the air flow path.
Claims21
A method for controlling an internal combustion engine using a controller that controls an air flow path by adjusting at least one of a variable geometry turbine (VGT) and an exhaust gas recirculation (EGR) flow rate during engine operation, comprising:
- determining inputs to the controller;
- employing a switch based gain-scheduled explicit model predictive controller (MPC) responsive to the inputs to determine the air flow path.
A controller for controlling an air flow path of an internal combustion engine by adjusting at least one of a variable geometry turbine (VGT) and an exhaust gas recirculation (EGR) flow rate during engine operation, comprising:
- circuitry programmed to determine inputs to the controller, and to employ a switch based gain-scheduled explicit model predictive controller (MPC) responsive to the inputs to determine the air flow path.
A system, comprising:
- one or more sensors to obtain an internal combustion engine speed and fuel flow rate data;
- and
- a controller including a processor configured to:
- determine a nominal plant behavior model from an off-nominal plant behavior model using switch gain scheduling,
- determine an optimal air flow control action for the off-nominal plant based on the switch gain scheduling in combination with an explicit MPC that is designed for nominal plant operating conditions.
Dependencies are inferred from the claim text.