Self-Calibrating PAPR Motor Control for Consistent Air Flow
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Solution Overview
Problem
Powered air purifying respirators (PAPRs) face challenges in maintaining consistent air flow rates due to variations in components, leading to either insufficient or excessive air flow, which can fail to meet safety codes and result in premature battery discharge.
Innovation Solution
A self-calibrating PAPR system that includes an electric motor, air flow sensor, and controller, which automatically performs a one-time self-calibration by driving the motor to a predefined operation point, determining a reference parameter, and storing it for controlled operation, ensuring consistent air flow rates despite component variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If component variations are accommodated without calibration, then device complexity is reduced, but air flow rate consistency deteriorates
Solution Approach 1:
The system performs a one-time self-calibration during initial operation to establish baseline parameters before normal use. The controller automatically drives the motor to a predefined operation point, records the air flow sensor indication, and stores it as a reference parameter, eliminating the need for manual calibration while ensuring consistent air flow rates across units with component variations
Solution Approach 2:
The PAPR system calibrates itself automatically without external intervention. The controller executes the self-calibration routine by commanding the motor to operate at a predefined point, reading the air flow sensor, determining the reference parameter, and storing it in memory, thereby making the system self-adjusting to component variations
2Measurement precision
If manual calibration is performed, then air flow rate precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic self-calibration without requiring user intervention. The controller autonomously executes the calibration sequence by driving the motor to a predefined operation point, reading the air flow sensor indication, calculating the reference parameter, and storing it in memory, thereby maintaining measurement precision while eliminating manual calibration steps
Solution Approach 2:
The system uses feedback from the air flow sensor during self-calibration to determine the reference parameter. The controller reads the sensor indication at the predefined operation point and uses this feedback to establish the calibrated reference value, ensuring accurate air flow rate measurement while automating the process
3Duration of action of moving object
If battery capacity is increased to extend operation time, then duration of action is improved, but weight of moving object worsens
Solution Approach 1:
The one-time self-calibration establishes accurate reference parameters before normal operation, ensuring the motor operates at optimal efficiency points. This preliminary setup enables the battery to provide full operating duration without requiring excessive capacity, as the system maintains consistent air flow rates and avoids premature battery discharge
Solution Approach 2:
The system dynamically adjusts motor operation based on the calibrated reference parameter and real-time air flow sensor feedback. By maintaining the motor at optimal operating points, the system maximizes battery efficiency and extends operation time without increasing battery capacity or weight
Data Source
AI summary
A self-calibrating powered air purifying respirator (PAPR). The PAPR comprises an electric motor mechanically coupled to a blower; an air flow sensor, and a controller coupled to the air flow sensor and to the electric motor. The controller is configured to automatically execute a one-time self-calibration by driving the electric motor to a predefined operation point, receiving an indication from the air flow sensor, determining a reference parameter based on the indication from the air flow sensor, and storing the reference parameter, wherein after completion of the one-time self-calibration the controller controls the electric motor based on the stored reference parameter.