Trace Control System Noise Removal for Oscillation Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing shape measurement systems face challenges in reducing oscillations and shortening tact time due to measurement noise in displacement sensor signals, which can lead to measurement errors and prolonged processing times.
Innovation Solution
A control system that includes a measurement device, a drive, and a controller with a filter to remove noise from one-dimensional information, allowing for the calculation of target positions and locus commands to maintain a constant distance between the measurement device and the object, thereby reducing oscillations and shortening measurement time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a filter is used to remove measurement noise from displacement sensor signals, then measurement precision is improved, but signal phase delay occurs causing measurement errors
Solution Approach 1:
The patent applies preliminary action by performing noise removal processing on measurement signals before they are used for trace control. The controller removes noise from displacement sensor signals in advance, then uses the cleaned signals for target position calculation and trace control, preventing phase delay issues while maintaining measurement precision
Solution Approach 2:
The patent extracts and removes only the noise components from measurement signals while preserving the useful measurement information. The noise removal processing selectively eliminates unwanted signal components (noise) while maintaining the essential shape measurement data, resolving the contradiction between noise removal and phase preservation
2Stability of the object's composition
If noise removal processing is performed using a filter, then oscillations in trace control are reduced, but tact time in measurement is lengthened
Solution Approach 1:
The patent replaces traditional hardware filter mechanisms with software-based noise removal processing implemented in the controller. This substitution allows for more efficient noise removal that does not require lengthy processing times, reducing tact time while maintaining trace control stability through algorithmic noise elimination
Solution Approach 2:
The patent changes the processing parameters by implementing noise removal as a computational process rather than a physical filtering process. This parameter change enables faster noise elimination that reduces measurement tact time while still achieving the desired reduction in trace control oscillations
3Productivity
If trace control is performed based on signals containing measurement noise, then measurement speed is maintained, but oscillations occur in trace control
Solution Approach 1:
The patent applies preliminary action by removing noise from measurement signals before they are used for trace control. The controller performs noise removal processing in advance on the displacement sensor signals, then uses the cleaned signals for trace control, maintaining measurement speed while eliminating oscillations
Solution Approach 2:
The patent implements feedback by using the noise-removed measurement signals to continuously adjust and maintain stable trace control. The controller feeds back the cleaned position information to the trace control mechanism, enabling stable operation at high measurement speeds without the oscillations caused by noisy signals
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A control system, a method, and a program reduce oscillations in trace control and shorten the tact time in measurement. A PLC system (SYS) includes a displacement sensor (7), drives (30, 40), and a PLC (1). In the PLC system (SYS), the trace control unit (162) calculates a target position at which a distance between the displacement sensor (7) and the object (A) is constant based on measurement information (1D information) from which measurement noise (noise information) has been removed by the filter (162c) and positional information from the drives (30, 40).