Magnetic Actuator State Variable Ascertainment
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Solution Overview
Problem
Existing methods for determining state variables of magnetic actuators, such as position, speed, or magnetization state, in applications like factory automation and vehicle transmissions, face challenges in precision due to limited sensor systems and cost constraints, particularly in installations where dedicated sensor systems are not feasible.
Innovation Solution
A method that reads in sensor values representing instantaneous current and voltage, using approximation functions with preprocessed sensor values and additional sensor values from earlier times, to calculate state variables with enhanced precision, potentially incorporating hysteresis models and neural networks, allowing for precise determination of state variables without a dedicated sensor system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dedicated sensor system is installed to measure state variables directly, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses voltage and current sensor values as intermediary measurements to indirectly determine state variables (position, speed, magnetization) through approximation functions, avoiding the need for direct sensors for these variables
Solution Approach 2:
The patent replaces physical sensor systems with a mathematical evaluation system that uses approximation functions to calculate state variables from electrical measurements, substituting mechanical/sensor-based measurement with computational analysis
2Device complexity
If only current sensor values are used for state variable determination, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent combines multiple sensor value types (voltage and current measurements) into a unified evaluation system that uses approximation functions to determine state variables, leveraging complementary information from different physical quantities
Solution Approach 2:
The patent adds the voltage dimension to the traditional current-only measurement approach, creating a two-dimensional measurement space that provides richer information for state variable determination through the approximation functions
3Measurement precision
If multiple sensor values from different times are processed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary processing of sensor values by storing them in memory and pre-calculating approximation functions, so that when state variable determination is needed, the computation can proceed efficiently with pre-prepared data
Solution Approach 2:
The patent implements a dynamic evaluation system that adapts the processing of historical sensor values based on the specific state variable being determined, optimizing the balance between using sufficient historical data for accuracy and minimizing processing time
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 improves the accuracy of state variable determination, enabling precise control of magnetic actuators with improved precision and flexibility, even in systems without a dedicated sensor system, by utilizing existing voltage and current measurements and preprocessed data.
Implementation Method 1
a movable part, also referred to as an armature, on which a force is generated by energizing a coil
Implementation Method 2
a first sensor value and at least one second sensor value are read in, the first sensor value representing a physical variable identical to that of the second sensor value
Data Source
AI summary
A method for ascertaining a state variable of a magnetic actuator at a particular point in time. The method includes a step of reading in and a step of calculating. In the step of reading in, a first sensor value and at least one second sensor value are read in, the first sensor value representing a physical variable identical to that of the second sensor value, and the first sensor value having been detected after the second sensor value. In the step of calculating, the state variable is calculated using the first sensor value and the second sensor value as input variables to at least one approximation function.