Adaptive Control Parameter Tuning for Scene-Variant Systems
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Solution Overview
Problem
Existing control systems face inefficiencies in parameter adjustment due to the need for multiple preset parameter values when scene variations occur, leading to low parameter adjustment efficiency and difficulty in adapting control parameters to changing conditions.
Innovation Solution
A method and apparatus that acquire and process input and output information to obtain parameter characteristics, allowing for adaptive adjustment of control parameters based on system parameter variations, using a corresponding relation between control and system parameters to ensure output meets preset rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple preset parameter values are prepared for different scenes, then the control system can adapt to various scenes, but the parameter adjustment efficiency becomes low
Solution Approach 1:
The control system automatically identifies scene variations and adjusts control parameters without manual intervention. The system monitors its own performance, detects when scene changes occur, and autonomously selects appropriate parameter values from the preset collection, eliminating the need for manual parameter tuning and improving adjustment efficiency
Solution Approach 2:
Multiple parameter sets are pre-prepared and stored in the control system for different scenes before actual operation. When a scene variation is detected, the system can immediately switch to the pre-prepared parameter set corresponding to the new scene, avoiding time-consuming manual adjustment and maintaining high responsiveness
2Reliability
If manual parameter resetting is performed for each scene variation, then the control parameter can be optimized for the current scene, but the time consumption increases
Solution Approach 1:
The control system continuously monitors output information and compares it against expected performance criteria. When scene variations are detected through feedback analysis, the system automatically triggers parameter adjustment by selecting appropriate preset parameter values, ensuring optimal control performance without manual intervention and reducing adjustment time
Solution Approach 2:
Parameter sets for different scenes are pre-calculated and stored in advance. When the system detects a scene change through monitoring, it can immediately retrieve and apply the corresponding pre-prepared parameter set, eliminating the need for real-time manual calculation and adjustment, thus maintaining both accuracy and speed
Data Source
AI summary
A method, device and apparatus for processing a control parameter, and a storage medium are provided. The method includes: acquiring first information input to a control system; acquiring second information output after the first information is processed by the control system; obtaining a first parameter characteristic for characterizing a system parameter, according to the first information and the second information; obtaining a second parameter characteristic for adjusting the control parameter, according to the first parameter characteristic and a corresponding relation between the system parameter and the control parameter; and adjusting the control parameter according to the second parameter characteristic. Thus, an adaptive adjustment of the control parameter based on the variation of the scene is realized, and the parameter adjustment efficiency is improved.