Fluid Heating Burner Combustion Control Using Learned Feedback Loops

The patent segments the combustion control into multiple independent feedback loops, each responsible for specific parameters (O2 concentration, CO concentration, NOx concentration, flame characteristics). This segmentation allows each loop to optimize specific aspects of combustion without interfering with others, resolving the contradiction by enabling continuous control while maintaining optimization at all modulation percentages through specialized control mechanisms.

The patent changes control parameters by introducing multiple feedback variables (O2, CO, NOx, flame characteristics) instead of relying on a single control parameter. This multi-parameter approach allows the system to adapt to varying venting draft and restriction conditions at different modulation percentages, achieving both continuous regulation and optimal combustion performance across all operating conditions.

The patent implements learned feedback control loops that continuously learn and store optimal trim values during normal operation. This preliminary action builds a knowledge base of control parameters that can be rapidly deployed when sensors fail, ensuring control continuity without requiring complex real-time decision-making during fault conditions.

The patent creates a virtual copy of the control system through learned feedback loops that replicate normal control behavior. When primary sensors fail, the system copies control decisions from the learned model, maintaining reliability without adding substantial physical hardware complexity, as the backup is implemented through software-based learning and prediction.

The patent divides the combustion control into multiple specialized feedback loops, each targeting specific combustion parameters (O2, CO, NOx, flame characteristics). This segmentation enables the system to adapt to various operating conditions by activating appropriate loops based on current conditions, achieving versatility while managing complexity through modular, independent control modules.

The patent implements feedback control loops that serve multiple functions simultaneously. For example, the O2 feedback loop not only controls air-fuel ratio but also provides data for learning optimal trim values across different modulation percentages. This multi-functionality reduces overall system complexity by having each component serve multiple purposes rather than requiring dedicated systems for each function.