Robot Arm Drive Signal Filtering for Vibration Damping
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Solution Overview
Problem
Existing robot control methods require cumbersome processes such as tapping the robot arm with a hammer and using vibration measurement devices to determine natural frequencies, making it troublesome to reduce arm vibrations.
Innovation Solution
A method for controlling a robot that involves acquiring height information of the robot arm's tip end during operation or stoppage, determining a frequency component to be removed from the drive signal based on this information, and generating a correction drive signal by removing that frequency component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration measurement devices and hammer tapping are used to determine natural frequency, then vibration reduction accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The robot arm itself serves as the measurement system by using its own drive signals and position feedback to identify natural frequency, eliminating the need for external measurement devices and hammer tapping operations
Solution Approach 2:
The mechanical measurement system (hammer and vibration sensors) is replaced with an electrical control system that uses the robot's own drive signals and position detection to identify vibration characteristics
2Measurement precision
If vibration measurement devices and hammer tapping are used to determine natural frequency, then vibration reduction accuracy is improved, but operational difficulty increases
Solution Approach 1:
The robot automatically identifies its own natural frequency using its existing drive signals and position feedback, eliminating the need for operators to perform manual hammer tapping and measurement operations
Solution Approach 2:
The manual mechanical measurement process is replaced with an automated electrical control process that calculates natural frequency from the robot's own operational data
3Reliability
If natural frequency is determined using external measurement methods, then vibration reduction effectiveness is improved, but processing time increases
Solution Approach 1:
The natural frequency identification is integrated into the robot's normal operation, allowing vibration parameters to be determined in advance without separate measurement steps
Solution Approach 2:
The robot continuously monitors its own vibration characteristics during normal operation, eliminating the need for separate measurement sessions and reducing overall processing time
Data Source
AI summary
Provided is a method for controlling a robot including a base, a robot arm coupled to the base, and a drive unit including a motor for driving the robot arm. The method includes a first step of acquiring weight information including information on a weight of an end effector installed on the robot arm and a weight of an object to be worked by the end effector; a second step of determining a frequency component to be removed from a drive signal for driving the motor based on the weight information acquired in the first step; and a third step of removing the frequency component determined in the second step from the drive signal to generate a correction drive signal.


