Control Parameter Optimization Using Representative Operations

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Solution Overview

Problem

Existing methods for generating control parameters for production devices with numerous operations and adjustment gradations are inefficient and often fail to find appropriate parameters due to the vast number of combinations, requiring excessive time or not yielding results.

Innovation Solution

A method involving selecting representative operations, measuring data, calculating evaluation values, and updating control parameters while changing evaluation criteria in multiple optimization cycles to efficiently generate appropriate control parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional control parameter generation methods are used to search through all combinations of operations and parameters, then comprehensive parameter optimization may be achieved, but the time required becomes excessively long and the method becomes inefficient

Engineering Contradiction:

Improvecomprehensive parameter optimizationVSAvoidtime required for parameter search

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the control parameter optimization process into multiple stages: first selecting representative operations from all device operations, then optimizing control parameters for these representative operations, and finally applying the optimized parameters to all operations. This segmentation reduces the search space from all operation-parameter combinations to a manageable subset while maintaining optimization effectiveness.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary selection of representative operations before conducting the full control parameter optimization. By pre-identifying which operations are most critical or representative, the system prepares a reduced set of target operations that will guide the subsequent parameter search, avoiding the need to evaluate all possible operation combinations.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If the number of operations and adjustment gradations in a production device is increased to improve functionality, then device versatility is enhanced, but the number of control parameter combinations explodes making optimization infeasible

Engineering Contradiction:

Improvedevice functionalityVSAvoidnumber of control parameter combinations

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies partial action by optimizing control parameters for only the representative operations rather than all operations. This partial optimization approach is sufficient to achieve effective device performance without requiring exhaustive optimization of every single operation, thus managing complexity while maintaining versatility.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent changes the evaluation criterion parameters during the optimization process, adjusting which control parameters are optimized based on the representative operations identified. This dynamic parameter adjustment allows the system to handle high device versatility without being overwhelmed by the combinatorial explosion of all possible parameter settings.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If control parameter optimization is performed for all operations simultaneously, then complete optimization coverage is achieved, but computational resources and processing time are excessively consumed

Engineering Contradiction:

Improveoptimization coverageVSAvoidoptimization processing efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent segments the optimization coverage by identifying and focusing on representative operations that capture the essential behavior patterns of all device operations. By optimizing parameters for this segmented subset rather than treating all operations uniformly, the system achieves reliable optimization coverage with improved processing efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a simplified copy or model of the full device operation set by selecting representative operations. This representative model serves as a surrogate for the complete operation set, allowing optimization to be performed on the copy and then applied to the original, thereby improving productivity while maintaining optimization reliability.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250271820A1Information processing method, information optimization method, information processing device, and program

Publication Date: 2025.08.28 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD

AI summary

An information processing method for optimizing a plurality of control parameters in a device that performs a plurality of operations based on the plurality of control parameters, the method including by an information processing device: in control parameter optimization processing, selecting a representative operation including at least one operation among all of the plurality of operations capable of being performed by the device, causing the device to perform the selected representative operation, acquiring measurement data regarding an operation of the device, the measurement data being measured by performing the representative operation, calculating an evaluation value of a predetermined evaluation index based on the acquired measurement data, and updating the plurality of control parameters based on the calculated evaluation value; and executing the control parameter optimization processing a plurality of times while changing an evaluation criterion of the control parameter optimization processing.