Multi-variable State Observer for Steam Generator Validation
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Solution Overview
Problem
Existing control systems for thermal power plants face challenges in accurately validating measurement data, particularly in complex systems like steam generators, leading to suboptimal controller performance due to measurement inaccuracies and the need for extensive plant trials to account for cross-influences between control loops.
Innovation Solution
A multi-variable state observer using a Kalman filter designed for linear-quadratic state feedback (LQG multi-variable state observer) is implemented, which can estimate multiple state variables simultaneously, accounting for physical couplings and allowing for the validation of measurement data by generating state and disturbance variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single-variable state controller is used for each control task, then the control structure is simple and easy to implement, but the measurement data validation is inaccurate and controller performance is suboptimal due to not accounting for cross-influences between control loops
Solution Approach 1:
The patent merges multiple single-variable state controllers into a single multi-variable state controller that simultaneously handles multiple control tasks (steam temperature and steam pressure control). This unified controller accounts for cross-influences between control loops by considering all state variables and their interrelationships, thereby improving measurement data validation accuracy while maintaining manageable complexity through a systematic approach.
2Reliability
If extensive plant trials are conducted to account for cross-influences between control loops, then the controller performance is optimized, but the startup time and complexity increase significantly
Solution Approach 1:
The patent performs preliminary identification of the plant model and determines the multi-variable state controller parameters before actual operation. By pre-calculating the controller gains and system matrices based on identified plant characteristics, the system achieves optimized controller performance without requiring extensive plant trials during startup, thereby significantly reducing startup time while maintaining high reliability.
3Productivity
If measurement data is not validated, then the system operates continuously without interruptions, but the controller quality is compromised due to measurement inaccuracies
Solution Approach 1:
The patent implements a feedback mechanism where the multi-variable state controller continuously validates measurement data by comparing actual measurements with estimated state variables. When measurement inconsistencies are detected, the controller uses the validated state estimates to compensate for measurement errors, thereby maintaining controller quality without interrupting continuous operation. This feedback-based validation ensures reliable control decisions while keeping the system running without interruptions.
Data Source
AI summary
A state observer for a steam generator of a thermal power plant is provided. Accordingly, provision is made for the state observer to be a multi-variable state observer which has a Kalman filter designed for linear-quadratic state feedback. The state observer can be used for validating measured variables of the steam generator of the thermal power plant, wherein measured variables of the steam generator are compared with output variables of the state observer.