18552514. MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER simplified abstract (Siemens Aktiengesellschaft)
Contents
- 1 MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER
Organization Name
Inventor(s)
Theodoros Papadopoulos of München (DE)
[[:Category:Felix K�hler of München (DE)|Felix K�hler of München (DE)]][[Category:Felix K�hler of München (DE)]]
MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18552514 titled 'MACHINE CONTROLLER AND METHOD FOR CONFIGURING THE MACHINE CONTROLLER
Simplified Explanation
The patent application describes a method to configure a machine controller by training signal converters to convert state signals into optimized control signals. Here are the key points:
- Plurality of state signals from a first state space are read in
- Each state signal is assigned an optimized control signal
- First signal converter is trained to convert state signals into a dimension-reduced second state space
- Second signal converter is trained to reproduce optimized control signals from reduced state signals
- Machine controller converts state signals into reduced state signals and then into optimized control signals for machine control
Potential Applications
This technology can be applied in various industries such as manufacturing, robotics, automation, and control systems.
Problems Solved
1. Efficient machine control by converting state signals into optimized control signals 2. Dimension reduction of state space for faster processing and decision-making
Benefits
1. Improved machine performance and efficiency 2. Enhanced control and automation capabilities 3. Reduced complexity in machine controller design
Potential Commercial Applications
"Machine Controller Optimization for Enhanced Performance and Efficiency"
Possible Prior Art
There may be prior art related to machine learning algorithms for signal processing and control systems optimization.
Unanswered Questions
How does this technology compare to traditional machine control methods?
This article does not provide a direct comparison between this technology and traditional machine control methods. It would be interesting to see a study or analysis on the performance, efficiency, and cost-effectiveness of this innovation compared to traditional approaches.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address any potential limitations or challenges that may arise when implementing this technology. It would be beneficial to explore factors such as scalability, compatibility with existing systems, and training requirements for signal converters.
Original Abstract Submitted
To configure a machine controller for a machine, a plurality of state signals of a first state space is read in, each state signal being assigned an optimized control signal. Using the state signals, a first signal converter is trained to convert state signals from the first state space into a second state space which is dimension-reduced in comparison with the first state space. A second signal converter is trained to reproduce corresponding optimized control signals by converting reduced state signals by means of the conversion rule. Thus, the machine controller is designed to convert a state signal of the machine into a reduced state signal by means of the trained first signal converter and to convert the reduced state signal into an optimized control signal by means of the trained second signal converter, the optimized control signal being used to control the machine.
