Quadrature Signal Generation Using Linear Sensor Arrays
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Solution Overview
Problem
Existing methods for determining pseudo-sinusoidal signals in quadrature from encoders are prone to amplitude equality issues due to misalignment, varying pole lengths, and magnetic field variations, leading to unreliable signal quadrature and amplitude equality.
Innovation Solution
A method and system using a sensor with linearly equally distributed sensing elements to form pseudo-sinusoidal signals U=(S1-S2)-(S3-S4) and V=(S2-S3), which are in quadrature, and a processing device to adjust gains and ensure signal equality, reducing sensitivity to misalignment and tilt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensing elements are linearly equally distributed and signals are combined as U=(S1-S2)-(S3-S4) and V=(S2-S3), then quadrature stability and amplitude equality are improved, but device complexity increases due to additional signal processing requirements
Solution Approach 1:
The sensor signal processing is divided into four distinct sensing elements (S1, S2, S3, S4) that are linearly equally distributed, each independently detecting the magnetic field. This segmentation allows the system to process different portions of the magnetic field separately and combine them through specific mathematical operations to achieve quadrature stability while maintaining manageable complexity through modular signal processing
Solution Approach 2:
The patent applies specific parameter transformations to the raw sensing signals through mathematical operations: U=(S1-S2)-(S3-S4) and V=(S2-S3). These parameter changes convert the physical sensor outputs into quadrature signals with stable amplitude relationships, resolving the contradiction by transforming the signal domain rather than increasing hardware complexity
2Manufacturing precision
If encoder misalignment or varying pole lengths occur, then amplitude equality of signals U and V deteriorates, but the sensing elements remain linearly equally distributed
Solution Approach 1:
The signal combination formulas U=(S1-S2)-(S3-S4) and V=(S2-S3) inherently provide feedback compensation for manufacturing variations. By processing the signals from linearly equally distributed sensing elements through these specific mathematical relationships, the system automatically compensates for encoder misalignment and pole length variations, maintaining amplitude equality without requiring perfect manufacturing precision
Solution Approach 2:
The patent employs asymmetric signal processing where the combination formulas treat different sensing element signals differently (S1-S2-S3-S4 for U, S2-S3 for V). This asymmetric processing compensates for the symmetric manufacturing variations in pole lengths and misalignments, converting physical asymmetries into reliable electrical signal relationships
3Manufacturing precision
If the straight line through sensing elements is not parallel to the encoder plane (sensor tilt), then quadrature stability deteriorates, but linear equal distribution of sensing elements is maintained
Solution Approach 1:
The patent performs preliminary signal processing and mathematical transformation on the outputs from linearly equally distributed sensing elements before final quadrature formation. By pre-processing the signals through the specific combination formulas U=(S1-S2)-(S3-S4) and V=(S2-S3), the system compensates for sensor tilt effects that would otherwise degrade quadrature stability, addressing alignment issues through computational rather than mechanical means
4Manufacturing precision
If sensing elements are not arranged along the tangent to the reading beam (sensor twist), then both amplitude equality and quadrature stability deteriorate, but linear equal distribution is preserved
Solution Approach 1:
The patent transforms the physical orientation parameter issue into an electrical signal parameter problem by applying specific mathematical operations: U=(S1-S2)-(S3-S4) and V=(S2-S3). These parameter changes in the signal domain compensate for the physical twist misalignment, allowing the system to achieve reliable quadrature signals without requiring perfect sensing element orientation along the tangent to the reading beam
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
The solution provides reliable pseudo-sinusoidal signals with improved amplitude equality and quadrature stability, reducing errors and enhancing angular data determination in rotating systems.
Implementation Method 1
a sensor arranged within reading distance of said encoder, said sensor including at least four sensing elements which are linearly equally distributed, said sensing elements each being capable of delivering a signal Si representative of the signal transmitted by the encoder
Data Source
AI summary
A method for determining two pseudo-sinusoidal signals in quadrature from a pseudo-sinusoidal signal transmitted by an encoder is provided. The method using a sensor arranged within reading distance of the encoder, which sensor includes at least four sensing elements which are linearly equally distributed. The sensing elements are each capable of delivering a signal Si representative of the signal transmitted by the encoder. The method measuring the signals Si and combining the signals Si in order to form the signals U=(S1−S2)−(S3−S4) and V=(S2−S3), which signals U and V are in quadrature. A system for determining by implementing such a method, as well as a bearing including such a determination system, are provided.