Adaptive Digital Controller for Switching Power Supplies

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Digital feedback control systems face challenges in high resolution and high speed requirements, limiting their adoption in various fields due to cost, size, and power dissipation constraints, particularly in low-power applications like portable consumer devices, where minimizing these factors is desirable.

Innovation Solution

A digital controller system for switching power supplies that includes an adaptive plant estimation component, compensator design, and a driver component, utilizing algorithms like LMS or RLS for model-based control, and oversampling delta-sigma modulators for high-speed data conversion, allowing for efficient digital control with reduced computational burden and hardware complexity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If digital feedback control is implemented with high resolution and high speed requirements, then control precision and performance are improved, but cost, size, and power dissipation increase

Engineering Contradiction:
Improvecontrol precisionVSAvoidcost and size
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes the sampling rate parameter dynamically based on system conditions. During transient states, a higher sampling rate is used to capture rapid changes, while during steady-state operation, a lower sampling rate suffices. This parameter adaptation maintains control precision when needed while reducing computational burden and hardware requirements during normal operation, directly resolving the contradiction between precision and complexity.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The control system transitions from a static, fixed-sampling-rate approach to a dynamic, adaptive sampling strategy. The sampling rate is adjusted in real-time based on system state detection, allowing the system to optimize between precision and complexity requirements. This dynamic adaptation enables the system to maintain high precision during critical moments while operating efficiently during stable periods.

Inventive Principle:
Principle #15Dynamics

2Productivity

If digital feedback control is implemented with high resolution and high speed requirements, then control performance is improved, but power dissipation increases

Engineering Contradiction:
Improvecontrol performanceVSAvoidpower dissipation
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent dynamically adjusts the sampling rate parameter based on system conditions, using higher rates during transients and lower rates during steady-state operation. This parameter adaptation directly reduces the computational workload and associated power consumption while maintaining control performance when it matters most, effectively resolving the contradiction between productivity and energy usage.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If adaptive control with variable sampling rate is implemented, then system adaptability is improved, but control algorithm complexity increases

Engineering Contradiction:
Improvesystem adaptabilityVSAvoidcontrol algorithm complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the control operation into distinct phases: transient detection, transient response, and steady-state operation. By dividing the control process into these segments, the system can apply different sampling rates appropriate to each phase. This segmentation simplifies the overall control algorithm structure while enabling high adaptability, as each segment has clearly defined control strategies rather than requiring a single complex adaptive algorithm.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary detection of transient conditions and pre-emptively adjusts the sampling rate before the full transient response occurs. This preliminary action simplifies the control algorithm by establishing clear trigger conditions for rate changes, avoiding the need for continuous complex optimization while maintaining high adaptability to system changes.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP1952207B1Methods and systems for adaptive control
Publication Date: 2020.07.29 L&L ENGINEERING LLC
  • EP1952207B1 patent drawingFigure 1
  • EP1952207B1 patent drawingFigure 2
  • EP1952207B1 patent drawingFigure 3

AI summary

A system comprising a switching power supply, an adaptive plant estimation component capable of receiving an output voltage from the switching power supply and an input to the switching power supply and of providing a model of the switching power supply; the model reflecting changes in output voltage state of the switching power supply, a compensator design component capable of receiving the model of the Switching power supply and of providing compensator parameters, the compensator parameters reflecting changes in output voltage state of the switching power supply, an adaptive compensator capable of receiving the compensator parameters and of providing the input control signal to the driver component.