Combustion State Estimation Using a State Space Model
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Solution Overview
Problem
There are state quantities in combustion facilities that are difficult to measure directly using conventional instruments.
Innovation Solution
A state space model is used to estimate these difficult-to-measure state quantities by setting them as objective variables and using observed and calculated quantities as explanatory variables, with a processor executing steps to calculate and correct estimates based on measured values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measuring instruments are used to measure state quantities in a combustion facility, then the measurement is straightforward and reliable, but many important state quantities cannot be measured directly at all
Solution Approach 1:
The patent introduces a state space model as an intermediary system that connects measurable quantities (explanatory variables) to unmeasurable state quantities (objective variables). The model acts as a mediator that translates accessible measurements into estimates of inaccessible parameters through mathematical relationships defined by state equations and observation equations.
Solution Approach 2:
The patent replaces physical measuring instruments with a computational estimation system. Instead of using mechanical or physical sensors to directly measure state quantities, the system substitutes a mathematical model-based computational approach that processes measurable data to infer unmeasurable parameters.
2Measurement precision
If a state space model is used to estimate state quantities, then difficult-to-measure quantities can be estimated, but the system complexity increases due to the need for state equations and observation equations
Solution Approach 1:
The state space model is designed to be self-correcting through the feedback mechanism inherent in the estimation process. The system automatically adjusts its estimates by comparing predicted values with actual measurements and correcting deviations, eliminating the need for external manual calibration or adjustment of the complex mathematical relationships.
Solution Approach 2:
The state space model serves multiple functions simultaneously: it estimates unmeasurable state quantities, predicts future states, processes measurement data, and provides a framework for control decisions. This multi-functionality reduces the need for separate systems for each task, thereby managing overall system complexity.
3Loss of time
If real-time estimation of state quantities is performed, then combustion control can be performed without time delay, but computational processing time may cause delays
Solution Approach 1:
The state space model is pre-configured with state equations and observation equations that encode the physical relationships of the combustion system. This preliminary setup allows the estimation algorithm to process measurements efficiently without requiring complex real-time calculations, reducing computational delay while maintaining real-time capability.
Data Source
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AI summary
Provided is a method for estimating a state quantity that is difficult to measure directly in a combustion facility for combusting a combustible. At least one state quantity that is difficult to measure directly in the combustion facility for combusting the combustible is treated as an objective variable, and at least one observed quantity that can be measured directly at least one observation point established in the combustion facility and/or at least one calculated quantity that can be computed by calculation from the at least one observed quantity is treated as an explanatory variable in a state space model, and the state space model is used to estimate the objective variable.