Method and system for fault accommodation of machines
First Claim
1. A method for multi-objective fault accommodation using predictive modeling, the method comprising:
- using a simulated machine that simulates a faulted actual machine;
using a simulated controller that simulates an actual controller, the simulated machine being controlled by the simulated controller, and the actual machine being controlled by the actual controller;
performing a multi-objective optimization process, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine; and
adjusting control settings of the actual controller, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a fault condition of the actual machine, based on the Pareto frontier- based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier.
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Abstract
A method for multi-objective fault accommodation using predictive modeling is disclosed. The method includes using a simulated machine that simulates a faulted actual machine, and using a simulated controller that simulates an actual controller. A multi-objective optimization process is performed, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine. Control settings of the actual controller are adjusted, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a fault condition of the actual machine, based on the Pareto frontier-based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier.
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Citations
17 Claims
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1. A method for multi-objective fault accommodation using predictive modeling, the method comprising:
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using a simulated machine that simulates a faulted actual machine; using a simulated controller that simulates an actual controller, the simulated machine being controlled by the simulated controller, and the actual machine being controlled by the actual controller; performing a multi-objective optimization process, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine; and adjusting control settings of the actual controller, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a fault condition of the actual machine, based on the Pareto frontier- based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for multi-objective fault accommodation using predictive modeling, the system comprising:
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a simulated machine that simulates a faulted actual machine; a simulated controller that simulates an actual controller, the simulated machine being controlled by the simulated controller, and the actual machine being controlled by the actual controller; a processor that performs a multi-objective optimization process, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller, to generate a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine; and an adjuster portion that adjusts control settings of the actual controller, represented by the simulated controller, for controlling the actual machine, represented by the simulated machine, in response to a fault condition of the actual machine, based on the Pareto frontier-based solution space, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier. - View Dependent Claims (15, 16)
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17. A computer readable storage medium for multi-objective fault accommodation using predictive modeling, the computer readable medium comprising computer executable instructions which when executed on a computer perform a process comprising:
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simulating a faulted actual machine; simulating an actual controller that controls the actual machine; performing a multi-objective optimization process, based on specified control settings for the simulated controller and specified operational scenarios for the simulated machine controlled by the simulated controller; and generating a Pareto frontier-based solution space relating performance of the simulated machine to settings of the simulated controller, including adjustment to the operational scenarios to represent a fault condition of the simulated machine; wherein the Pareto frontier-based solution space is capable of being used for adjusting control settings of the actual controller for controlling the actual machine, in response to a fault condition of the actual machine, to maximize desirable operational conditions and minimize undesirable operational conditions while operating the actual machine in a region of the solution space defined by the Pareto frontier.
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Specification