Servo Control System Frequency Characteristic Calculator
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Solution Overview
Problem
Current servo control systems for machine tools lack the ability to effectively measure the convergence of learning and responsivity to disturbances, which are crucial for optimizing learning control parameters, especially in terms of visualizing mechanical characteristics and operation conditions.
Innovation Solution
A servo control system that includes a position command generator, position detector, positional deviation obtainer, band limiting filter, dynamic characteristic compensation element, learning controller, sine wave sweep input unit, and frequency characteristic calculator, which together allow for the visualization of convergence and responsivity by calculating an evaluation function based on the frequency characteristics of the position control loop.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If learning control is implemented to optimize feedforward signals for repeated operations, then manufacturing precision is improved, but the ability to measure and visualize convergence and responsivity characteristics deteriorates
Solution Approach 1:
The patent segments the control system into distinct functional modules: a position control loop for basic positioning, a learning controller for optimizing repeated operations, and a frequency characteristic calculator for measurement. This segmentation allows the measurement function to operate independently without interfering with the learning control optimization process, thereby maintaining both manufacturing precision and measurement capability
Solution Approach 2:
The patent introduces a frequency characteristic calculator as an intermediary component that measures the frequency response of the position control loop. This mediator enables the system to visualize convergence and responsivity characteristics without disrupting the learning control process, resolving the contradiction between optimization and measurement capabilities
2Productivity
If learning control parameters are optimized for specific operations, then productivity is improved, but adaptability to different mechanical characteristics and operation conditions deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the frequency characteristic calculator continuously measures the system's frequency response, and this measurement information feeds back to guide the selection of learning control parameters. This feedback loop enables the system to adapt learning parameters to match specific mechanical characteristics and operation conditions, thereby maintaining both productivity and adaptability
Solution Approach 2:
The patent enables dynamic adjustment of learning control parameters based on measured frequency characteristics. By changing parameters according to the visualized convergence and responsivity data, the system can optimize performance for different mechanical characteristics and operation conditions, resolving the contradiction between specialized optimization and general adaptability
Data Source
AI summary
A servo control system includes a position command generator; a position detector of among other things, a feed shaft; a position control loop; a learning controller including a band limiting filter and a dynamic characteristic compensation element; a sine wave sweep input unit for the position control loop; and a frequency characteristic calculator for estimating the gain and phase of position control loop input and output signals. The frequency characteristic calculator calculates an evaluation function that indicates the characteristic of a position control based on the frequency characteristic of the position control loop, the band limiting filter, and the dynamic characteristic compensation element.