Control Disturbance Estimation Using Input-Output Data Matrices
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Solution Overview
Problem
Conventional disturbance observers require system modeling and are ineffective for multiple input multiple output control systems, limiting their ability to accurately estimate and compensate for disturbance signals.
Innovation Solution
A method and apparatus that estimate disturbance signals in control systems using input/output data without mathematical modeling, employing a system model matrix to configure input/output data in a matrix form and estimate the disturbance signal without the need for a low pass filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional disturbance observer is used, then disturbance estimation is possible, but system modeling is required and it is ineffective for multiple input multiple output control systems
Solution Approach 1:
The patent replaces the conventional disturbance observer approach that relies on mechanical system modeling with a data-driven matrix-based method. By using input/output data matrices and solving linear equations, the system eliminates the need for complex system modeling while maintaining disturbance estimation capability. The state space model is transformed into a matrix equation form that can be solved directly from measured data.
2Reliability
If system modeling is performed for disturbance observation, then disturbance signal can be estimated, but the complexity of device configuration increases
Solution Approach 1:
The patent segments the disturbance observation process into distinct computational steps: constructing input/output data matrices, forming the matrix equation, solving for the disturbance signal, and applying compensation. This segmentation simplifies the overall device configuration by breaking down the complex modeling process into manageable, sequential operations that can be implemented through standard computational components.
3Measurement precision
If low pass filter is applied for disturbance observation, then noise is reduced, but the response speed decreases and disturbance signal observation is delayed
Solution Approach 1:
The patent replaces the low pass filter mechanism with a direct matrix solution approach. Instead of filtering the signal to reduce noise, the method directly computes the disturbance signal by solving the matrix equation formed from input/output data. This substitution eliminates the trade-off between noise reduction and response speed, achieving both accurate disturbance observation and fast response simultaneously.
Data Source
AI summary
Disclosed is an apparatus for estimating disturbance flowing into a control system on the basis of input/output data. The apparatus includes an input unit, and an estimator configured to, when input data (u) is provided to the control system through the input unit and thus output data is acquired, estimate the input data (u) from the acquired output data, based on a system model matrix corresponding to an input/output relation model of the control system. Accordingly, efficiency of the apparatus may be improved.