AI Converter Control Profiles for Loss and Stress Reduction
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Solution Overview
Problem
Existing electronic converter control systems face challenges in optimizing operating properties such as power losses, aging, and stress on components due to fixed control signal profiles, which do not account for long-term behavior and system variables.
Innovation Solution
A method and device that utilize a trainable, data-based control signal model to predict and modify control signal profiles based on provided and predicted profiles, optimizing the temporal profile to improve the operating behavior of electronic converters, incorporating variables like thermal resistance and capacitance, and using models like artificial neural networks for training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If fixed control signal profiles are used to operate electronic converters, then the control system is simple and easy to implement, but the operating properties such as power losses, aging, and stress on components cannot be optimized
Solution Approach 1:
The control signal profile is predicted in advance for a future time period, allowing the system to prepare optimal control signals before actual operation occurs. This predictive approach enables optimization of power losses and component stress without requiring complex real-time control adjustments
Solution Approach 2:
The system uses a trainable data-based control signal model that learns from historical operation data and provides feedback to continuously improve control signal profiles. This feedback mechanism enables the system to adapt to changing conditions and optimize operating properties while maintaining manageable complexity
2Duration of action of stationary object
If fixed control signal profiles are used, then the control implementation is straightforward, but the longevity and aging characteristics of components are not optimized
Solution Approach 1:
The system predicts control signal profiles in advance for future time periods, allowing optimization of component longevity before actual operation occurs. This proactive approach enables the system to adjust control signals to minimize stress and aging effects on components
Solution Approach 2:
The trainable control signal model automatically learns and adapts to optimize component longevity through continuous operation. The system self-adjusts control parameters based on accumulated data, reducing the need for manual intervention and complex control implementation
3Object-affected harmful factors
If fixed control signal profiles are used, then the system operation is simple, but stress on converter components cannot be reduced
Solution Approach 1:
The system employs a data-based control signal model that continuously learns from operational data and provides feedback to optimize control signals. This feedback loop enables the system to identify and reduce stress patterns on converter components while maintaining simple operational control
Solution Approach 2:
Control signal profiles are predicted in advance, allowing the system to prepare stress-minimizing control signals before operation. This predictive capability enables the system to avoid high-stress conditions without requiring complex real-time monitoring and adjustment
Data Source
AI summary
A method is disclosed for operating a technical apparatus with an electronic converter controlled a control signal. A control signal profile is provided with which the electronic converter is to be operated. A predicted control signal profile is predicted based on the provided control signal profile. The predicted control signal profile is a predicted future profile of the control signal. A modified control signal profile of is obtained by modifying the provided control signal profile using a trainable, data-based control signal model. The control signal model is trained to determine the modified control signal profile based on the provided control signal profile and the predicted control signal profile. The electronic converter is operated using the modified control signal profile.