OBOG Controller Gain Adjustment for Oxygen Response

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Solution Overview

Problem

Existing oxygen generating apparatuses on aircraft, such as OBOGs, face delays in responding to changing oxygen demand due to environmental factors like altitude and G-forces, leading to inconsistent oxygen supply, as they rely on conventional control methods that do not account for varying efficiency with environmental parameters.

Innovation Solution

A control method that senses oxygen concentration, determines instantaneous demand, and generates a control signal by compensating for environmental parameters like altitude, using a PI or PID algorithm with gain adjustment based on reference data to rapidly adjust the separation process, ensuring accurate oxygen concentration matching demand.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If conventional control methods are used without environmental parameter compensation, then the control system is simple, but the response time is delayed and oxygen concentration cannot match instantaneous demand

Engineering Contradiction:
Improveresponse speedVSAvoidcontrol system complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The control system performs preliminary action by sensing environmental parameters (altitude, temperature, pressure) in advance and using these parameters to predict and compensate for changes in oxygen demand before the actual demand change occurs. This allows the OBOG to proactively adjust oxygen concentration rather than reactively responding after delays

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The control system dynamically adjusts the gain factor in the control algorithm based on real-time environmental parameters. The gain is not fixed but varies with altitude, temperature, and pressure conditions, allowing the system to adapt its response characteristics to match changing environmental conditions and optimize response speed across different operating scenarios

Inventive Principle:
Principle #15Dynamics

2Speed

If the oxygen concentration control responds rapidly to changing demand, then the oxygen supply matches demand better, but the system becomes less stable due to cyclic charging/venting operations

Engineering Contradiction:
Improvecontrol response speedVSAvoidsystem stability
Core Design Contradiction:
SpeedVSStability of the object's composition

Solution Approach 1:

The control system employs feedback mechanisms where the actual oxygen concentration is continuously sensed and compared with the target concentration derived from environmental parameters and demand signals. The error signal is fed back through a control algorithm that applies environmental compensation, allowing the system to self-correct while maintaining stability through proportional-integral control action

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes control parameters dynamically by adjusting the gain factor based on environmental conditions. This parameter adaptation allows the controller to be more aggressive when stability is less critical and more conservative when stability is paramount, optimizing both response speed and stability across different operating conditions

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If environmental parameter compensation is implemented, then oxygen concentration matches demand more accurately, but the control algorithm complexity increases

Engineering Contradiction:
Improveoxygen concentration accuracyVSAvoidcontrol algorithm complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The control algorithm incorporates environmental parameter compensation by dynamically adjusting the gain factor based on sensed altitude, temperature, and pressure. This single parameter adjustment (gain) simplifies the complexity increase compared to implementing full environmental modeling, while still achieving accurate oxygen concentration matching across varying conditions

Inventive Principle:
Principle #35Parameter changes

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

This approach enables the apparatus to produce oxygen at concentrations more closely matching instantaneous demand, reducing delays and improving system stability by accounting for environmental factors that affect separation efficiency.

Implementation Method 1

a bed of adsorption material therein, such as Zeolite, adsorbs primarily nitrogen from the air supply

Methodology Applied
Scientific EffectAdsorption: Adsorption

Data Source

PatentUS7981193B2Method of controlling a gas separating apparatus
Publication Date: 2011.07.19 HONEYWELL NORMALAIR GARRETT HLDG
  • US7981193B2 patent drawing
  • US7981193B2 patent drawing
  • US7981193B2 patent drawing

AI summary

A method of controlling an apparatus for separating product gas and non product gas from an air supply, the concentration of the product gas produced by the apparatus being variable depending on a control signal from a controller and the efficiency of the apparatus in producing product gas depending upon an environmental parameter, the method including sensing the oxygen concentration in the product gas produced by the apparatus, determining an instantaneous demand for oxygen concentration in the product gas, providing to the controller a process variable signal indicative of the sensed concentration of the oxygen in the product gas, and providing to the controller a demand input signal indicative of the demand, sensing the environmental parameter and providing an environmental parameter input signal to the controller, comparing the process variable signal and the demand signal to generate an error signal indicative of a change in oxygen concentration in the product gas required to match the instantaneous demand, conditioning the error signal to derive a control signal to control the apparatus to satisfy the demand, characterised in that the conditioning of the error signal is compensated to derive the control signal, depending upon the environmental parameter input signal.