Compensating Signal Generation for Component-Induced Disturbances
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Solution Overview
Problem
Existing methods for compensating for disturbances in devices, such as torque ripple in motors, are often inaccurate and labor-intensive, requiring manual calibration and frequent maintenance, which increases costs and reduces efficiency.
Innovation Solution
A computer-implemented method for automatically generating a compensating signal to counteract disturbances in devices by processing datasets from device components, computing motion signals, filtering out irrelevant frequencies, and determining parameters to generate an optimized compensating signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual calibration and maintenance methods are used to compensate for disturbances, then some level of disturbance compensation is achieved, but the process becomes extremely time consuming and labor intensive
Solution Approach 1:
The system performs automatic self-calibration by autonomously executing calibration routines, collecting data, and generating compensation parameters without human intervention. The processor automatically identifies disturbance patterns and computes correction values, enabling the system to maintain itself without external assistance.
Solution Approach 2:
The system performs calibration and disturbance characterization in advance during manufacturing or initial setup phases, storing pre-computed compensation parameters in memory. This preliminary action eliminates the need for repeated manual calibration during operation, significantly reducing maintenance time while maintaining compensation effectiveness.
2Object-affected harmful factors
If high quality components are purchased to minimize disturbances, then disturbance levels are reduced, but the costs and device weight increase substantially
Solution Approach 1:
The system converts the harmful effect of component-induced disturbances into useful information by measuring and characterizing the disturbance patterns. The processor analyzes disturbance signals to extract features, then generates compensation parameters that transform the harmful disturbances into correctable errors, allowing standard components to achieve high-performance results.
Solution Approach 2:
The system changes the operational parameters of components through software-based compensation. By adjusting control signals, timing parameters, and feedback gains based on measured disturbance characteristics, the system optimizes component performance without physical modification or replacement, avoiding the need for heavier high-quality components.
3Productivity
If electronic components are added to control device efficiency, then operational control is improved, but additional costs and device weight are incurred
Solution Approach 1:
The system uses existing general-purpose processors and memory components to perform multiple functions: primary device control, disturbance measurement, data analysis, and compensation parameter generation. This multi-functionality eliminates the need for dedicated electronic components specifically for disturbance compensation, maintaining productivity improvements without additional weight.
4Reliability
If existing disturbance compensation methods are used, then some mitigation is achieved, but accuracy is insufficient and various sources of disturbances from various components cannot be identified and compensated
Solution Approach 1:
The system segments the disturbance analysis by component type and disturbance source. The processor independently characterizes disturbances from motors, loads, and electronic circuitry by analyzing their specific frequency signatures and temporal patterns. This segmentation enables precise identification of each component's contribution to total disturbance, allowing targeted compensation for each source rather than generic mitigation.
Solution Approach 2:
The system implements closed-loop feedback by continuously measuring actual disturbance levels, comparing them against compensated values, and dynamically adjusting compensation parameters. The processor monitors the effectiveness of compensation in real-time and refines parameters to maintain optimal accuracy, significantly improving measurement precision compared to open-loop existing methods.
Data Source
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AI summary
The invention relates to a computer implemented method (10) for automatically generating a compensating signal to compensate for at least one disturbance introduced by at least one component of a first device, the method (10) comprising the following steps: • Receiving (REC1), by means of a first communication interface, a first dataset characterizing a state of the at least one component of the first device ; • Performing the following steps by means of a first calculator: ∘ Computing (CMP1) a motion signal using the first dataset, said motion signal resulting from at least one motion of the first device, and characterizing at least one disturbance introduced by at least one component of the first device ; ∘ Automatically generating (GEN1) the compensating signal using said determined at least one parameter.