Fluid Control Parameter Mapping for Fast Response Adjustment
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Solution Overview
Problem
Existing fluid control apparatuses require manual adjustment of control parameters based on user experience, which is time-consuming and prone to errors due to device differences.
Innovation Solution
A control parameter calculation apparatus that calculates the target control parameter by using correlation data from a reference device, allowing for efficient adjustment of control parameters without relying on user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control parameters are adjusted manually based on user experience, then the fluid control apparatus can achieve satisfactory response, but the adjustment process takes a long time and requires multiple iterations
Solution Approach 1:
The patent creates a mapping relationship (copy) between control parameters and response characteristics obtained from a reference fluid control apparatus. This mapping is stored and reused for target apparatuses, eliminating the need for manual trial-and-adjustment. The correlation data structure stores control parameters as keys and their corresponding response characteristics as values, enabling direct parameter selection based on desired response.
Solution Approach 2:
The patent performs preliminary measurement and analysis on a reference fluid control apparatus to establish the correlation between control parameters and response characteristics before deploying to target apparatuses. The response characteristics are measured in advance under various control parameters, and this pre-acquired data is stored for future use, avoiding repeated measurements and adjustments.
2Ease of operation
If the same control parameters are used across different fluid control apparatuses, then parameter setting is simplified, but device differences cause poor response performance in some apparatuses
Solution Approach 1:
The patent recognizes that each fluid control apparatus has unique characteristics (device differences) that affect its response. Instead of using uniform control parameters for all apparatuses, the system measures and stores the specific response characteristics of each reference apparatus under various control parameters. This allows the selection of locally optimized parameters for each target apparatus based on its specific response profile, rather than applying a one-size-fits-all approach.
Solution Approach 2:
The patent systematically varies control parameters (proportional gain, integral gain, differential gain) across a range of values and measures the corresponding response characteristics for each parameter setting. This creates a comprehensive mapping that shows how response characteristics change with parameter changes, enabling selection of optimal parameters for each specific apparatus based on its unique response behavior.
3Reliability
If control parameters are adjusted multiple times to achieve good response, then satisfactory performance is achieved, but the adjustment process becomes complex and time-consuming
Solution Approach 1:
The patent creates a reusable mapping relationship (copy) between control parameters and response characteristics from reference apparatuses. This mapping is stored in a data structure that can be directly applied to target apparatuses, eliminating the need for complex iterative adjustments. The correlation data structure with control parameters as keys and response characteristics as values enables direct parameter selection without repeated trial-and-error processes.
Solution Approach 2:
The system incorporates feedback by measuring the actual response characteristics of the reference fluid control apparatus under various control parameters and using this measured feedback to build the correlation mapping. This feedback loop ensures that the stored mapping accurately reflects the actual behavior of the apparatus, enabling accurate parameter selection for target apparatuses without complex adjustments.
Data Source
AI summary
A control parameter calculation apparatus calculates a control parameter of a fluid control apparatus that controls a fluid. The control parameter calculation apparatus stores correlation data indicating a correlation of a reference control parameter of the fluid control apparatus and a reference response signal output by using the reference control parameter, acquires a target response signal output by using a target control parameter of the fluid control apparatus different from the fluid control apparatus serving as a reference, acquires the correlation data and the target response signal and calculates a correlation control parameter corresponding to the target response signal in the fluid control apparatus serving as a reference by using the correlation data, and calculates an adjustment amount of the target control parameter based on the correlation control parameter and the reference control parameter.


