Controller Model Generation for Measurement Error Tolerance
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Solution Overview
Problem
Existing controller models struggle to tolerate measurement errors, requiring complex design and mathematical proof for safety, making it difficult to construct robust models that account for measurement inaccuracies.
Innovation Solution
An information processing device generates a second controller model that can tolerate measurement errors by incorporating error characteristic information into the first controller model, using mechanical processing to generate control conditions, parameter restrictions, and control actions, allowing for the creation of robust models without relying on human skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a formal model is used to guarantee safety of the control target, then safety is improved, but the complexity of model construction and mathematical proof increases
Solution Approach 1:
The patent applies preliminary action by pre-defining error characteristic information and incorporating it into the controller model construction process before actual control operations. The system prepares tolerance ranges for measurement errors in advance, allowing the model to automatically handle uncertainties without requiring complex post-hoc safety proofs.
Solution Approach 2:
The patent changes parameters by introducing error characteristic information as additional parameters in the controller model. This includes defining tolerance ranges for measurement values and transforming the original controller model into a robust version that accounts for measurement errors through parameter expansion rather than structural complexity increase.
2Reliability
If measurement errors are tolerated in the controller model, then robustness is improved, but the difficulty of constructing the model increases
Solution Approach 1:
The patent applies copying by creating a robust controller model that replicates the functionality of the original controller while adding error tolerance capabilities. The system generates a copied version of the controller model that includes additional error characteristic information, allowing the original simple structure to be preserved while achieving robustness.
3Reliability
If complex mathematical proofs are required for safety verification, then safety guarantee is improved, but the time and resources required increase
Solution Approach 1:
The patent applies self-service by enabling the controller model to automatically verify its own safety properties through the embedded error characteristic information. The robust controller model inherently accounts for measurement errors and can self-validate its tolerance ranges without requiring external mathematical proofs, reducing verification time and resource requirements.
Data Source
AI summary
An information processing device includes a memory, and a processor configured to execute a process. The process includes acquiring a first controller model, the first controller model including information indicating a control condition based on a measurement value, and information indicating a control action defining an action of a control target when the control condition is satisfied; and outputting a second controller model, the second controller model being capable of tolerating a measurement value including a measurement error, wherein the second controller model includes information indicating a control condition based on the information indicating the control condition included in the first controller model, and information indicating a control action based on the information indicating the control condition and the information indicating the control action included in the first controller model.