18115550. MOTOR CONTROLLER simplified abstract (KABUSHIKI KAISHA TOSHIBA)
Contents
- 1 MOTOR CONTROLLER
MOTOR CONTROLLER
Organization Name
Inventor(s)
Yutaka Yamada of Fuchu Tokyo (JP)
Koji Suzuki of Fuchu Tokyo (JP)
MOTOR CONTROLLER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18115550 titled 'MOTOR CONTROLLER
Simplified Explanation
The abstract of the patent application describes a motor controller that utilizes two control circuits, a determination circuit, and a command circuit to optimize control commands based on both a rule base and a learned model.
- The first control circuit generates a control value using a rule base from the command value and measured value of angular velocity.
- The second control circuit generates a control value using a learned model from the command value and measured value of angular velocity.
- The determination circuit determines a state based on at least the control value from the second control circuit.
- The command circuit acquires and outputs a control command value based on the results determined by the determination circuit.
Potential Applications
The technology described in this patent application could be applied in various industries such as robotics, automotive, aerospace, and industrial automation for precise control of motors based on both rule-based and learned models.
Problems Solved
1. Improved motor control accuracy and efficiency. 2. Enhanced adaptability to changing conditions and environments.
Benefits
1. Optimal control commands based on rule-based and learned models. 2. Increased performance and reliability of motor systems. 3. Potential for energy savings and reduced maintenance costs.
Potential Commercial Applications
Optimized motor controllers could be integrated into various products such as electric vehicles, robotic arms, CNC machines, and drones for improved performance and efficiency.
Possible Prior Art
One possible prior art could be traditional motor controllers that rely solely on rule-based control algorithms without incorporating learned models for optimization.
Unanswered Questions
How does this technology compare to existing motor control systems in terms of efficiency and accuracy?
The article does not provide a direct comparison between this technology and existing motor control systems in terms of efficiency and accuracy.
What are the potential limitations or challenges in implementing this motor controller in real-world applications?
The article does not address any potential limitations or challenges in implementing this motor controller in real-world applications.
Original Abstract Submitted
A motor controller includes a first control circuit, a second control circuit, a determination circuit, and a command circuit. The first control circuit outputs a first control value based on a rule base from a command value of an angular velocity and a measured value of an angular velocity. The second control circuit outputs a second control value based on a learned model from the command value of the angular velocity and the measured value of the angular velocity. The determination circuit determines a state based on at least the second control value. The command circuit acquires and outputs a control command value from the first control value and the second control value based on a result determined by the determination circuit.
