Adaptive Fault Compensation in Closed-Loop Control Systems
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Solution Overview
Problem
Existing closed-loop control systems face challenges in parameterization, especially when the transfer function of the closed control loop cannot be reliably measured, leading to instability and difficulty in maintaining optimal performance, particularly in complex systems.
Innovation Solution
A closed-loop control device with a setting device that automatically determines and adjusts parameters of a frequency filter and propagation delays using excitation signals and result signals, allowing for stable parameterization even if the transfer function is unknown or unreliable, and includes a monitoring system to prevent instability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual parameterization of the compensating circuit is used, then the control system can be adapted to specific applications, but the parameterization process becomes complex and time-consuming
Solution Approach 1:
The control system performs self-parameterization through an automated identification routine. The system autonomously determines optimal parameters for the compensating circuit by injecting test signals, measuring system responses, and calculating parameters without external intervention, thereby eliminating manual parameterization complexity while maintaining adaptability
Solution Approach 2:
The system automatically adjusts parameters of the compensating circuit based on measured system characteristics. By dynamically changing parameters such as filter cutoff frequencies and delay times based on identified system transfer functions, the system achieves adaptability without requiring complex manual parameterization
2Measurement precision
If the transfer function of the closed control loop is measured for parameterization, then accurate parameter determination is possible, but measurement reliability may be insufficient in complex systems
Solution Approach 1:
The system performs preliminary identification measurements under controlled conditions before normal operation to determine system parameters. By conducting excitation tests and measuring responses in advance, the system establishes reliable transfer function data that can be used for subsequent parameterization without relying on potentially unreliable online measurements
Solution Approach 2:
The system uses an intermediary identification routine that injects test signals and measures responses through dedicated measurement paths. This intermediary measurement process isolates the parameter identification from normal control operations, improving reliability by preventing interference from operational variations
3Loss of time
If automatic parameterization is implemented, then parameterization time is reduced and stability is improved, but the system requires additional excitation signal generation and measurement capabilities
Solution Approach 1:
The control system integrates multiple functions into existing components. The controller既 performs normal control operations又 generates excitation signals and processes measurement data for parameter identification. By making existing components multi-functional rather than adding dedicated separate systems, the automation is achieved with minimal increase in overall system complexity
Solution Approach 2:
The parameter identification functionality is merged with the normal control loop. The excitation signal generation, response measurement, and parameter calculation are combined into a unified identification routine that operates within the existing control architecture, reducing the need for separate dedicated systems
Data Source
AI summary
A closed-loop control device to control a system to be controlled includes a front node, back node, external tapping point, controller and compensating circuit. The compensating circuit has an inner node, frequency filter, front buffer and back buffer. The front node determines a difference; the back node supplies an external sum signal. A setting device automatically suppresses use of the output signal of the front buffer, supplies the back buffer and the back node with a first excitation signal as the compensation signal and detects a first result signal produced by the first excitation signal. The first result signal is one of the control difference, internal sum signal, output filtered signal of the frequency filter or output signal of the front buffer. The setting device evaluates the first excitation signal and the first result signal, sets a parameter of the frequency filter and the second propagation delay.