18595891. CONTROL DEVICE, CONTROL METHOD, STORAGE MEDIUM, AND ARTICLE MANUFACTURING METHOD simplified abstract (CANON KABUSHIKI KAISHA)
Contents
CONTROL DEVICE, CONTROL METHOD, STORAGE MEDIUM, AND ARTICLE MANUFACTURING METHOD
Organization Name
Inventor(s)
CONTROL DEVICE, CONTROL METHOD, STORAGE MEDIUM, AND ARTICLE MANUFACTURING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18595891 titled 'CONTROL DEVICE, CONTROL METHOD, STORAGE MEDIUM, AND ARTICLE MANUFACTURING METHOD
The abstract of the patent application describes a control device designed to manage the movements of two movable parts, with the first part being mounted on the second part. The device includes various units and a control unit that work together to control the motions of the parts effectively.
- The first measuring unit measures the motion of the first movable part.
- The first compensation unit generates a first amount of operation to control the motion of the first part based on the output of the first measuring unit.
- The second compensation unit generates a second amount of operation to control the motion of the first part based on the output of the first measuring unit.
- The first computing unit generates an amount of operation for driving the first movable part based on the outputs of the first and second compensation units.
- The second measuring unit measures the motion of the second movable part.
- The third compensation unit generates a third amount of operation to control the motion of the second part based on the output of the second measuring unit.
- The control unit determines parameter values for generating the second and third amounts of operation in the second and third compensation units using machine learning by starting the machine learning at different timings.
Potential Applications: - Robotics - Industrial automation - Precision machinery
Problems Solved: - Precise control of multiple movable parts - Enhanced motion management - Improved efficiency in complex systems
Benefits: - Increased accuracy in controlling motions - Enhanced performance of machinery - Optimized operation of interconnected parts
Commercial Applications: Title: Advanced Motion Control System for Industrial Machinery This technology can be utilized in manufacturing plants, assembly lines, and other industrial settings to improve the precision and efficiency of machinery operations. It can also be integrated into robotic systems for enhanced motion control capabilities.
Prior Art: Further research can be conducted in the field of motion control systems, machine learning applications in industrial settings, and advanced robotics technologies to explore related prior art.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for motion control, innovations in industrial automation, and developments in precision machinery technologies.
Questions about the Technology: 1. How does this control device improve the efficiency of machinery operations? 2. What are the potential challenges in implementing machine learning for motion control in industrial settings?
Original Abstract Submitted
In order to control motions of a first movable part and a second movable part in which the first movable part is mounted, the control device includes: a first measuring unit configured to measure the motion of the first movable part; a first compensation unit configured to generate a first amount of operation based on an output of the first measuring unit to control the motion of the first movable part; a second compensation unit configured to generate a second amount of operation based on the output of the first measuring unit to control the motion of the first movable part; a first computing unit configured to generate an amount of operation for driving the first movable part based on an output of the first compensation unit and an output of the second compensation unit; a second measuring unit configured to measure the motion of the second movable part; a third compensation unit configured to generate a third amount of operation based on an output of the second measuring unit to control the motion of the second movable part; and a control unit configured to determine parameter values for generating the second and third amounts of operation in the second and third compensation units using machine learning by starting the machine learning at different timings.
