Feed-Forward Turbine Control Modeler for Air-Fuel Coordination
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Solution Overview
Problem
Feedback-based turbine control systems face delays and imprecision in adjusting turbine output due to iterative feedback assessments and lack of accounting for individual adjustments' effects, leading to potential overshooting and reduced precision in achieving target outputs.
Innovation Solution
Implementing a feed-forward-based turbine control system that uses a modeler to predict the effects of adjustments on control parameters, allowing for targeted adjustments to achieve the target turbine output more quickly and precisely, without iterative feedback delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feedback-based iterative adjustment is used to achieve target turbine output, then the control system can achieve the target output, but the response time is delayed and precision is reduced due to iterative feedback assessments
Solution Approach 1:
The patent applies preliminary action by using a modeler to predict the effects of control parameter adjustments before actually implementing them. The modeler forecasts how changes in control parameters will affect turbine output, allowing the system to pre-determine the optimal adjustments needed to reach the target output without waiting for iterative feedback loops. This predictive approach eliminates the time delay inherent in traditional feedback-based iterative adjustment methods.
2Measurement precision
If feedback-based iterative adjustment is used to achieve target turbine output, then the control system can achieve the target output, but overshooting occurs and precision is reduced
Solution Approach 1:
The patent applies feedback by using a modeler that continuously predicts the relationship between control parameter adjustments and turbine output changes. This predictive feedback mechanism allows the system to calculate the exact adjustment needed to reach the target output without overshooting, improving control accuracy. The modeler provides forward-looking information about the effects of adjustments, enabling precise control decisions before actual changes are implemented.
3Device complexity
If individual adjustments' effects are not accounted for in feedback-based control, then the control system operates simply, but precision in achieving target output is reduced
Solution Approach 1:
The patent applies segmentation by evaluating the effects of adjustments to individual control parameters separately. The modeler assesses each control parameter's adjustment independently to determine its specific impact on turbine output. This segmented evaluation approach allows the system to identify the most effective single adjustment to make, improving control precision while maintaining manageable system complexity through structured analysis.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~3C
AI summary
Presented herein are turbine machines, turbine control systems, methods, and computer-readable storage devices for controlling turbines including a compressor 102, a combustion system 104, and a turbine section 108 comprising a turbine operating at an initial turbine output 120 while using initial parameter values for the respective control parameters of the turbine. The techniques involve, for respective selected control parameters, selecting an adjustment of the initial parameter value of the selected control parameter, and predicting a predicted turbine output of the turbine operated using the adjustment of the selected control parameter and the initial parameter values for other control parameters; comparing the predicted turbine outputs for the adjustments of the respective control parameters to select, from the control parameters, a target control parameter having a target adjustment that results in the target turbine output; and operating the turbine with the target adjustment of the target control parameter.