Servo Control Tuning Using Static and Dynamic Margin Feedback

Solution Overview

Problem

Existing servo control methods for mechatronic systems require significant preparation work to tune correctors for optimal performance and robustness, involving multiple parameters and requiring specialized expertise, which is time-consuming and costly.

Innovation Solution

An automated method for optimizing servo control in mechatronic systems that iteratively adjusts the delay margin of correctors using effective static and dynamic indicators to achieve a compromise between performance and robustness, eliminating the need for manual parameter tuning and reducing the complexity of the process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual tuning of corrector parameters is performed to achieve optimal performance and robustness, then the servo control system achieves satisfactory performance, but the preparation work is time-consuming and requires specialized expertise

Engineering Contradiction:

ImproverobustnessVSAvoidtuning time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs self-tuning by automatically determining corrector parameters based on measured process characteristics. The method measures the process transfer function and disturbance characteristics, then automatically calculates optimal parameters without requiring manual intervention or specialized expertise, enabling the system to tune itself

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The method automatically determines corrector parameters by measuring process characteristics and calculating optimal values based on mathematical relationships. It changes parameters dynamically by adapting them to actual process conditions rather than using fixed manual settings, achieving both performance and robustness automatically

Inventive Principle:

Principle #35Parameter changes

2Reliability

If multiple parameters are adjusted to optimize both performance and robustness, then the servo control achieves satisfactory results, but the complexity of the tuning process increases

Engineering Contradiction:

ImproverobustnessVSAvoidtuning process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The method automatically determines corrector parameters by measuring process characteristics and calculating optimal values based on mathematical relationships. It changes parameters dynamically by adapting them to actual process conditions rather than using fixed manual settings, achieving both performance and robustness automatically

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system uses feedback from measured process characteristics (transfer function, disturbance spectrum) to automatically adjust corrector parameters. The method continuously monitors system behavior and adapts parameters based on actual performance, simplifying the tuning process through intelligent feedback mechanisms

Inventive Principle:

Principle #23Feedback

3Reliability

If the delay margin is increased to improve robustness, then the system becomes more stable, but the performance in terms of disturbance rejection deteriorates

Engineering Contradiction:

ImproverobustnessVSAvoiddisturbance rejection performance

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The method automatically determines corrector parameters by measuring process characteristics and calculating optimal values based on mathematical relationships. It changes parameters dynamically by adapting them to actual process conditions rather than using fixed manual settings, achieving both performance and robustness automatically

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The method applies different parameter optimization strategies for different frequency ranges and disturbance characteristics. It tailors the corrector parameters to specific local requirements of the process, achieving optimal disturbance rejection in critical frequency ranges while maintaining adequate robustness margins

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS11314211B2Method and device for optimizing performance of a servo control of a mechatronic system based on effective static and dynamic margins

Publication Date: 2022.04.26 EXAIL

AI summary

A method for automated optimisation of a servo control system controlled by a setpoint, the servo control system including a corrector in a feedback loop, the method exhibiting satisfactory reliability and performance in terms of stability through an iterative procedure, the most effective corrector being determined from among correctors by developing a current value of the delay margin and by individually testing the correctors on the servo control system of the real mechatronic system and by injecting an excitation signal into the loop and by assessing two effective indicators based on at least one effective static margin and one effective dynamic margin, the two effective indicators being an effective static indicator and an effective dynamic indicator, the iterative procedure being stopped on a corrector, which is then the optimal corrector, when the two effective indicators become greater than respective thresholds determined for a current delay margin value.