Reference Response Profile Control for Adaptive Frequency Tuning
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Solution Overview
Problem
Existing control systems struggle to accurately adjust control parameters in response to changes in the characteristics of control targets over time, leading to operational errors and inefficiencies.
Innovation Solution
A control system that includes a computational model to store a reference response profile, calculate actual response profiles, and update the model based on errors to adjust control parameters automatically, ensuring accurate operation despite changes in the control target's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control parameters are fixed in existing control systems, then device complexity is reduced, but reliability deteriorates because the system cannot adapt to changes in control target characteristics over time
Solution Approach 1:
The patent implements dynamic control parameters that automatically adapt to changes in control target characteristics. The system continuously monitors actual response profiles and adjusts control parameters in real-time, transforming the static control mechanism into a dynamic one that maintains reliability without requiring complex manual intervention structures.
Solution Approach 2:
The patent employs feedback mechanisms where the actual response profile of the control target is continuously measured and compared against expected performance. This feedback loop enables automatic detection of characteristic changes and triggers parameter adjustments, improving reliability through adaptive control while keeping the system structure manageable through automated decision-making.
2Adaptability or versatility
If manual adjustment of control parameters is implemented, then adaptability improves, but productivity deteriorates due to increased manual intervention requirements
Solution Approach 1:
The patent enables the control system to automatically detect changes in control target characteristics and adjust parameters without human intervention. The system performs self-diagnosis by comparing actual response profiles with expected profiles, and automatically modifies control parameters to maintain optimal performance, achieving both adaptability and high productivity through autonomous operation.
Solution Approach 2:
The patent replaces manual parameter adjustment mechanisms with automated computational systems. Instead of relying on human operators to detect and respond to characteristic changes, the system uses algorithms to automatically analyze response profiles and adjust parameters, substituting mechanical/manual processes with electronic automation to maintain adaptability while maximizing productivity.
3Reliability
If control parameters are frequently adjusted to maintain accuracy, then reliability improves, but loss of time increases due to continuous parameter tuning
Solution Approach 1:
The patent implements continuous monitoring of the control target's response profile without interruption to operations. The system continuously compares actual performance against expected performance and makes incremental parameter adjustments in real-time, maintaining reliability through ongoing adaptation while avoiding time losses associated with stopping operations for parameter tuning. The useful action of control continues uninterrupted throughout the process.
Data Source
AI summary
A control system includes a storage that stores a computational model of a reference response profile representing a frequency characteristic of a reference state of a control target corresponding to a first command, and circuitry configured to calculate a first actual response profile representing a frequency characteristic of an actual state of the control target having responded to the first command. The circuitry is further configured to acquire an error between the reference response profile and the first actual response profile, and cause a controller to output, to the control target, a second command that is based on a frequency at which the error is greater than a threshold. Additionally, the circuitry is configured to calculate a second actual response profile representing a frequency characteristic of an actual state of the control target having responded to the second command, and update the computational model based on the second actual response profile and the reference response profile.