Neural Network SMPS Control for Dynamic Switching Frequency
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Solution Overview
Problem
Existing switch mode power converters using PID regulation struggle to react quickly to fast-changing load currents, leading to output voltage dips and efficiency issues at low loads due to high switching losses.
Innovation Solution
A controller with an artificial neural network (ANN) that adjusts the switching frequency based on output current and voltage signals, allowing for dynamic changes in switching period and duty cycle to improve responsiveness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If PID regulation with fixed switching frequency is used, then the control structure is simple, but the response to fast-changing load currents is slow causing output voltage dips
Solution Approach 1:
The patent implements dynamic switching frequency adjustment where the switching frequency varies based on operating conditions. During transient events or light load conditions, the frequency is increased to improve response speed and reduce voltage dips. During steady-state heavy load conditions, the frequency is reduced to minimize switching losses. This dynamic adaptation resolves the contradiction between fast response and voltage stability.
Solution Approach 2:
The patent changes the switching frequency parameter dynamically based on system state. By monitoring load conditions and adjusting the switching frequency accordingly, the system achieves both fast response during transients (higher frequency) and stable output voltage during steady-state (optimized frequency), thereby resolving the technical contradiction.
2Speed
If high switching frequency is maintained for fast response, then the response to transients is fast, but switching losses increase at low loads
Solution Approach 1:
The system dynamically adjusts switching frequency based on load conditions. During transient events, the frequency is increased to ensure fast response. During light load steady-state conditions, the frequency is reduced to minimize switching losses. This dynamic behavior resolves the contradiction between maintaining fast response capability and reducing energy losses.
Solution Approach 2:
The patent employs periodic monitoring of load conditions and adjusts switching frequency accordingly. The controller periodically evaluates whether transient conditions exist and modifies the switching frequency in response, achieving fast response when needed while conserving energy during normal operation.
3Loss of energy
If low switching frequency is used to reduce switching losses, then energy efficiency improves at light loads, but the response capability to sudden load changes deteriorates
Solution Approach 1:
The switching frequency is dynamically adjusted based on real-time detection of transient conditions. During light load steady-state, a lower frequency reduces switching losses. Upon detecting a transient event or light load condition, the frequency is immediately increased to restore fast response capability. This dynamic adjustment resolves the contradiction between energy efficiency and response speed.
Solution Approach 2:
The system uses feedback from load current monitoring to adjust switching frequency. When the controller detects light load conditions or transient events through feedback signals, it modifies the switching frequency accordingly, achieving both energy efficiency during normal operation and fast response during transients.
Data Source
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AI summary
A controller is presented. The controller may be configured to receive a voltage signal indicative of an output voltage of a switched-mode power supply SMPS, receive a current signal indicative of an output current of the SMPS, and generate a switching signal for controlling a switching element of the SMPS. The controller may comprise a duty cycle controller configured to determine a duty cycle signal based on the voltage signal. The controller may comprise a frequency modifier configured to generate a frequency signal based on at least one of: the voltage signal, the current signal, the duty cycle signal, or another output signal of the duty cycle controller. The controller may comprise a modulator configured to determine the switching signal based on the duty cycle signal and the frequency signal. The frequency modifier may comprise an artificial neural network.