Smart Load Cell Automated Calibration for Electromechanical Actuators
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Solution Overview
Problem
Conventional aircraft wheel assemblies require time-consuming and labor-intensive manual calibration of stand-alone load cells in electromechanical actuators, which limits efficient adaptation to varying operating loads.
Innovation Solution
An electromechanical actuator system with a load cell integrated circuit board, strain gages, microcontroller, Wheatstone bridge, and output drive circuit, allowing for automated calibration and communication with an electric brake actuator controller via a serial interface, enabling real-time load monitoring and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration of stand-alone load cells is performed, then calibration accuracy can be achieved, but significant time and labor are required
Solution Approach 1:
The load cell performs self-calibration by utilizing its own operational data. The microcontroller automatically determines calibration parameters (minimum bridge value at zero load, maximum bridge value at maximum load) without requiring external manual intervention, eliminating the time-consuming manual calibration process while maintaining accuracy
Solution Approach 2:
The system implements feedback mechanisms where the load cell continuously monitors its own performance and automatically adjusts calibration parameters based on real-time operational data. The microcontroller processes bridge circuit outputs and automatically updates calibration values, creating a closed-loop system that maintains accuracy without manual intervention
2Reliability
If stand-alone load cells are used, then load feedback is provided, but manual calibration is required at assembly time only
Solution Approach 1:
The load cell transitions from a static, manually calibrated component to a dynamic, self-adjusting system. The microcontroller continuously adapts calibration parameters based on real-time operational conditions and varying loads, allowing the system to automatically adjust to different operating scenarios without requiring physical reconfiguration
Solution Approach 2:
The system automatically changes calibration parameters (minimum bridge value, maximum bridge value) based on operational data. The microcontroller modifies these parameters dynamically to accommodate varying load conditions, enabling the load cell to adapt to different operating environments while maintaining measurement accuracy
3Productivity
If automated calibration is implemented, then calibration efficiency is improved, but device complexity increases
Solution Approach 1:
The calibration functionality is merged into the load cell itself by integrating a microcontroller and memory elements directly into the load cell assembly. This combination eliminates the need for separate external calibration equipment and manual procedures, achieving automated calibration while keeping the overall system compact and integrated
Solution Approach 2:
The microcontroller serves multiple functions: it processes bridge circuit signals, performs automated calibration, stores calibration parameters, and communicates with external systems. This multi-functionality consolidates what would otherwise require separate components, achieving automation without proportionally increasing system complexity
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
Facilitates efficient and automated calibration of load cells, improving the responsiveness and accuracy of electromechanical brake actuators to varying loads, reducing manual labor and enhancing operational efficiency.
Implementation Method 1
The load cell may comprise two strain gages. The two strain gages may be positioned apart from each other at approximately 180 degrees along a circumference of the outer surface of the housing.
Implementation Method 2
The microcontroller may be positioned between the output drive circuit and a Wheatstone bridge.
Data Source
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AI summary
The present disclosure includes the use of a smart load cell in a system for controlling an electromechanical actuator 36. A load cell 300 may be positioned along the outer surface of the electromechanical actuator. Further, the load cell may utilize strain gages 252 and a microcontroller 366. The load cell may be configured to transmit data to an electric brake actuator controller 372 which includes calibration for operating temperature of the electromechanical actuator.