Position Forecasting Apparatus for Moving Bodies
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Solution Overview
Problem
Conventional position detection apparatuses for moving bodies, such as servo motors, face accuracy issues in forecasting future positions due to noise amplification and group delays, particularly when using linear extrapolation or averaging filters, which degrade the precision of predicted angles.
Innovation Solution
A position forecasting apparatus that includes an estimation part to find an estimated position state earlier than the predetermined time and a simulation part to calculate a simulated position state based on past data, allowing for accurate forecasting of rotational angles, angular speed, and angular acceleration, thereby reducing noise amplification and group delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If linear extrapolation or averaging filters are used for forecasting future positions, then the forecasting process can be implemented, but noise amplification occurs and measurement precision deteriorates
Solution Approach 1:
The patent applies preliminary action by forecasting the future position of the moving body before actual measurement is needed. The forecasting unit predicts position at future time points based on current and past position data, allowing the control system to prepare advance position information. This preemptive forecasting enables the system to compensate for measurement delays inherent in filtering and signal processing operations.
Solution Approach 2:
The patent introduces an intermediary forecasting unit that acts as a mediator between the position detection apparatus and the movement control system. Instead of directly using noisy raw measurements or heavily filtered delayed signals, the forecasting unit generates intermediate predicted position values that smooth out noise while maintaining temporal relevance. This intermediary layer decouples the noise reduction function from the timing function, allowing accurate forecasting without direct noise amplification.
2Measurement precision
If filtering processes are applied to remove noise from position signals, then measurement precision improves, but group delays increase and response time deteriorates
Solution Approach 1:
The forecasting unit performs preliminary calculation of future positions based on current filtered position data. By predicting where the moving body will be at future time points, the system obtains clean, delayed position information in advance, eliminating the need to wait for subsequent filtered measurements. This preliminary forecasting compensates for the time loss introduced by filtering operations.
Solution Approach 2:
The patent implements dynamics by adaptively adjusting the forecasting horizon and prediction methodology based on the moving body's operational state. The forecasting unit can modify its prediction parameters according to changes in speed, acceleration, and motion patterns, allowing the system to maintain optimal balance between noise reduction and response time under varying operational conditions.
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
Enables extremely accurate position forecasting of continuously operating moving bodies by reducing noise amplification and group delays, ensuring precise movement control with minimal deviation from actual values.
Implementation Method 1
a magnetic detection element, which detects an external magnetic field generated by the magnetic field generation part and outputs an analog signal indicating a physical quantity that the magnetic field generation part has relatively moved
Data Source
AI summary
A position forecasting apparatus for forecasting a position at a predetermined time of a continuously operating moving body is provided with an estimation part that finds an estimated position state of the moving body at a time in the past before the predetermined time and a position forecasting part that forecasts the position of the moving body at the predetermined time based on the estimated position state of the moving body estimated by the estimation part.


