Hybrid partial and full step quadratic solver for model predictive control of diesel engine air path flow and methods of use
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United States of America Patent
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Jan 29, 2019
Grant Date -
Dec 21, 2017
app pub date -
Jun 17, 2016
filing date -
Jun 17, 2016
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Abstract
Methods and systems for use of model predictive control (MPC) controllers utilizing hybrid, quadratic solvers to solve a linear feasibility problem corresponding to a nonlinear problem for an internal combustion engine plant such as a diesel engine air path. The MPC solves a convex, quadratic cost function having optimization variables and constraints and directs the plant per the output solutions to optimize plant operation while adhering to regulations and constraints. The problem includes a combination of iterative and direct calculations in the primal space depending on whether a partial step (iterative) or a full step (direct) is attempted. Further, primal and dual space array matrices are pre-computed and stored offline and are retrieved via use of a unique identifier associated with a specific active set for a set of constraints. Such hybrid and/or offline calculations allow for a reduction in computational power while still maintaining accuracy of solution results.
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Patent Owner(s)
- TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.; THE REGENTS OF THE UNIVERSITY OF MICHIGAN
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Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Huang, Mike | Ann Arbor, US | 7 | 95 |
Kolmanovsky, Ilya | Novi, US | 24 | 284 |
Rodgers, Jason R | Ann Arbor, US | 2 | 4 |
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