Roller Transport Control for Stable Sheet Feed Under Speed Fluctuation
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Solution Overview
Problem
Existing sheet manufacturing apparatuses face instability in transporting sheet-like materials due to fluctuations in roller speed, which can be influenced by motor disturbances and other factors, leading to inconsistent processing conditions.
Innovation Solution
A learning device and fibrous feedstock recycling apparatus that incorporate a first roller, a second roller, a rotation control section, and a position detection section to control roller speeds based on acquired state variables and position detection results, allowing for adaptive control of the transport process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If roller speed is controlled using conventional methods, then the transporting mechanism can operate, but the transporting stability deteriorates due to speed fluctuation
Solution Approach 1:
The patent implements a feedback mechanism where a sensor detects slack in the target recording medium and provides this information to the control unit. The control unit then adjusts the roller speeds based on this feedback to maintain stable transporting. This closed-loop control system continuously monitors and corrects speed fluctuations, resolving the contradiction between maintaining operation and achieving stability.
Solution Approach 2:
The patent dynamically adjusts the rotation speeds of the first and second rollers based on real-time detection results. Instead of using fixed speeds, the system modifies roller speeds adaptively in response to detected slack conditions, allowing the transporting mechanism to maintain stability despite variations in motor characteristics or external disturbances.
2Productivity
If roller speed is increased to improve productivity, then transporting efficiency improves, but transporting stability deteriorates due to motor disturbance and speed fluctuation
Solution Approach 1:
The control unit receives feedback from the sensor about slack conditions and adjusts roller speeds accordingly. This allows the system to operate at higher speeds for improved productivity while maintaining stability through real-time corrections, resolving the trade-off between efficiency and stability.
Solution Approach 2:
The system changes the operational parameters (roller speeds) dynamically based on detected conditions. By adjusting speeds in response to slack detection, the system can optimize for productivity while preventing stability deterioration that would occur with fixed high-speed operation.
Data Source
AI summary
A control device using, as a learning target, a transporting apparatus, a rotation control section which controls at least one of a rotation speed of a first roller and a rotation speed of a second roller, and a position detection section which detects a position of the transport target matter, the control device including a state variable acquisition section which acquires a state variable and a detection result of the position detection section, the state variable being based on information of a state of the transport target matter and information of an environment to which the transport target matter is exposed, and a learning section which learns a control expression for calculating a control value of the rotation control section based on a dataset containing the state variable acquired by the state variable acquisition section and the detection result of the position detection section.