Multivariable Power Generator Control for Conflicting Signal Loops
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Solution Overview
Problem
Conventional controllers for power generating assets, such as wind turbines, employ single input/single output (SISO) loops, which lead to conflicts in control signals and suboptimal power production due to external environmental conditions, making it difficult to achieve optimal performance.
Innovation Solution
A method and system for robust, multivariable control using an H-infinity (H∞) loop shaping approach, where a controller computes gain values at real-time sampling intervals using an adjusted-actuator dynamic model, incorporating acceleration vectors and constraints to generate control vectors that optimize power generation, incorporating input and output constraints like structural loading and speed regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional SISO controllers are used for power generating assets, then the control architecture is simple and easy to implement, but control signal conflicts occur and power production becomes suboptimal under external environmental conditions
Solution Approach 1:
The patent merges multiple SISO control loops into a unified MIMO (Multiple-Input Multiple-Output) controller that simultaneously processes multiple control signals. This integration eliminates control signal conflicts by coordinating all control actions through a single multivariable controller, thereby optimizing power production while managing the increased complexity through systematic control theory.
2Adaptability or versatility
If multiple SISO control loops are implemented to handle different control objectives, then more control functions are provided, but control signal conflicts arise and it becomes difficult to determine which command signal to implement
Solution Approach 1:
The patent combines multiple control functions into a unified MIMO controller that handles multiple inputs and outputs simultaneously. This merging approach provides comprehensive control coverage while avoiding the conflicts inherent in separate SISO loops, as the multivariable controller coordinates all control actions through a integrated framework.
Solution Approach 2:
The MIMO controller serves as a universal control platform that can handle multiple control objectives (blade pitch control, generator torque control, etc.) through a single multivariable control algorithm. This multi-functional approach eliminates the need for separate specialized controllers for each control objective, reducing overall system complexity while maintaining versatility.
3Ease of manufacture
If conventional controllers are used, then the system is easier to design and implement, but the power generating asset does not produce optimal power under varying environmental conditions
Solution Approach 1:
The patent employs MIMO control with state-space modeling that dynamically adjusts control parameters based on varying operating conditions. The controller uses state variables and system matrices that adapt to changing environmental conditions (wind speed, turbulence, etc.), enabling optimal power production across different operating regimes while maintaining a systematic design approach based on established control theory.
Data Source
AI summary
Systems and methods are provided for the robust, multivariable control of a power generating asset via H-infinity loop shaping using coprime factorization. Accordingly, a controller of the power generating asset computes a gain value for an H-infinity (H∞) module in real-time at predetermined sampling intervals using an actuator dynamic model. The controller then determines an acceleration factor based, at least in part, on the gain value of the H∞ module. Based, at least in part on the acceleration vector, the controller generates a control vector. An operating state of at least one component of the power generating asset is changed based on the control vector.