Auto-compensating Power Converter with Adaptive Control
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Solution Overview
Problem
The increasing power consumption and complexity of commercial integrated circuits pose challenges in delivering stable DC power and managing waste heat, with traditional power distribution systems struggling to accommodate high-current signals and requiring complex interconnection networks for control functions, while digital power control's effectiveness over analog control remains debated.
Innovation Solution
An auto-compensation method for digital power controllers that determines DC loop gain and compensation parameters based on measured state variables, eliminating the need for system models and allowing adaptive compensation without prior knowledge of the system, using a microcontroller to interface with the voltage regulator control stage and perform auto-compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If traditional power distribution systems are used to deliver stable DC power to high-power integrated circuits, then power delivery capability is improved, but system complexity and interconnection network requirements increase
Solution Approach 1:
The system performs self-characterization by automatically measuring its own power plant parameters (Qpow, fn,pow) and using this information to auto-tune compensation coefficients. The power conversion system serves itself by eliminating the need for external system models or manual configuration, thereby reducing interconnection complexity while maintaining high power delivery capability
Solution Approach 2:
The system dynamically adjusts compensation coefficients (K1, K2, K3) based on measured power plant parameters and operating conditions. By changing these parameters adaptively rather than using fixed values, the system achieves optimal performance across varying load conditions without requiring complex manual tuning networks
2Measurement precision
If system models are used for compensation in digital power control, then control accuracy is improved, but the requirement for prior system knowledge increases device complexity
Solution Approach 1:
The system eliminates the need for external system models by performing self-characterization. It directly measures power plant parameters (Qpow, fn,pow) from the actual system and uses these measurements to determine optimal compensation coefficients, thereby achieving accurate control without requiring prior system knowledge or complex model management
Solution Approach 2:
The system implements continuous feedback by measuring power plant parameters and output voltage, then using this feedback information to dynamically adjust compensation coefficients. This closed-loop approach achieves high control accuracy by adapting to actual system behavior rather than relying on pre-established models
3Device complexity
If fixed compensation coefficients are used in power converters, then device simplicity is improved, but adaptability to different operating conditions deteriorates
Solution Approach 1:
The system transitions from static fixed compensation coefficients to dynamic adaptive coefficients that automatically adjust based on measured power plant parameters and operating conditions. The compensation coefficients are continuously updated based on real-time measurements of Qpow, fn,pow, and output voltage, enabling the system to adapt to varying load conditions while maintaining simple implementation
Solution Approach 2:
The system automatically determines optimal compensation coefficients for its specific operating conditions through self-characterization and auto-tuning. By serving itself rather than requiring external configuration, the system achieves high adaptability to different operating conditions while maintaining device simplicity
Data Source
AI summary
An auto-compensation method for compensating power regulators configured to generate a regulated output voltage. Auto-compensation may be performed dynamically by determining various coefficients of a compensation function used in compensating the power regulator, based on assumptions about the structure of the regulator and corresponding filters. The method may be used to determine at least the DC loop gain and the position of the compensation zeros, without requiring any prior knowledge of the values of the various components of the system. Furthermore, the selection of the compensation parameters (loop gain, position of zeroes) may be based on measurement of various state variables of the actual power converter, and adjustment of the various coefficients of the compensation function according to the measurements. Since no power-plant model of the power regulator is used, inaccuracies that would be inherent using any method that employs a model of the system instead of the system itself may be eliminated.