Power Supply Controller Resonator Noise Suppression
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Solution Overview
Problem
Existing power supply controllers for mobile devices, such as those used in radio frequency amplifiers, face challenges in achieving low noise levels, especially at specific frequency bands like Long-Term Evolution (LTE) networks, where noise levels need to be very low from 30 MHz to 400 MHz, while maintaining high efficiency and cost-effectiveness.
Innovation Solution
Incorporating a resonator with a predetermined resonance frequency within the controller's feedback loop to suppress noise at that frequency, allowing for efficient noise suppression without additional circuitry, thereby enhancing noise reduction capabilities while maintaining efficiency and reducing complexity and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional power supply controllers are used, then the system is simple and cost-effective, but noise levels are high at specific frequency bands like LTE networks
Solution Approach 1:
The controller is segmented into multiple independent functional blocks: a feedback signal generator that creates artificial feedback signals, and a summer that combines these with actual feedback signals. This segmentation allows noise suppression at specific frequencies without requiring complete redesign of the entire controller, thus reducing complexity while improving noise performance.
Solution Approach 2:
An intermediary feedback signal path is introduced that does not depend on the actual output of the power supply. This intermediary path generates synthetic feedback signals that can be tailored to suppress noise at specific frequency bands (like LTE bands from 30 MHz to 400 MHz) without affecting the overall control function, thereby suppressing noise without proportionally increasing complexity.
2Object-affected harmful factors
If additional circuitry is added to suppress noise, then noise suppression capability improves, but device complexity and cost increase
Solution Approach 1:
The summer component performs multiple functions: it combines the actual feedback signal from the power supply output with the artificially generated feedback signal. This multi-functionality allows noise suppression to be achieved without adding completely separate circuitry, as the summer already exists in conventional controllers for other purposes. Thus, noise suppression capability improves without proportionally increasing complexity.
Solution Approach 2:
The controller generates its own noise suppression mechanism through the feedback signal generator, which creates artificial feedback signals specifically designed to counteract noise at problematic frequencies. This self-service approach eliminates the need for external noise filtering circuitry, as the controller provides its own noise suppression capability, improving noise performance without requiring additional components.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively suppresses noise at predetermined frequencies, ensuring compliance with spectral requirements without the need for additional components, thus improving noise performance and reducing system complexity and cost in mobile devices.
Implementation Method 1
Incorporating a resonator with a predetermined resonance frequency within the controller's feedback loop to suppress noise at that frequency
Data Source
AI summary
A controller (100; 200) for controlling a process variable (202) comprises an input interface (102) configured to receive a feedback signal indicative of an error between a process variable (202) to be controlled and a setpoint (104) for the process variable. At least a first integrator is (108) configured to derive an accumulated error signal using an integrator input signal depending on the feedback signal and at least one resonator having a predetermined resonance frequency is configured to provide a resonator output signal using a resonator input signal depending on the feedback signal. An output interface is (130) configured to provide a manipulation signal for influencing the process variable (202), the manipulation signal being derived using the accumulated error signal and the resonator output signal.