Motor Control Unit Winding Radius Learning for Roller Shutter Force Management
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Solution Overview
Problem
Controlling the force exerted by a rolling shutter when it comes into contact with an obstacle is challenging due to varying rotational displacement values resulting from different winding radii, making precise force management difficult.
Innovation Solution
A learning method that records and utilizes information about the winding radius of the rolling mobile element, including its diameter or a law expressing the radius as a function of position, to precisely control the force exerted on obstacles by establishing conditions for maximum torque delivery based on measured rotational displacement and torque.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the rotational displacement value is kept constant for the rolling tube, then the control system is simple, but the actual force exerted on obstacles varies significantly depending on the winding radius
Solution Approach 1:
The patent applies preliminary action by pre-learning and storing the relationship between rotational displacement and winding radius in a lookup table during system initialization. This allows the control unit to compensate for varying winding radii without real-time calculations, maintaining simple control logic while achieving precise force control throughout the shutter's travel range.
Solution Approach 2:
The patent changes the control parameter from fixed rotational displacement to variable rotational displacement that adapts to the current winding radius. By using a lookup table that provides different rotational displacement values based on the learned radius at each position, the system maintains constant force despite changing mechanical conditions.
2Manufacturing precision
If the rotational displacement value is adjusted to maintain constant force, then force control precision improves, but the control system complexity increases
Solution Approach 1:
The patent performs the complex calculation work in advance by learning and storing the optimal rotational displacement values for each position in a lookup table during initialization. This eliminates the need for complex real-time calculations, achieving precise force control while keeping the operational control system simple.
Solution Approach 2:
The patent replaces complex real-time mechanical calculations with a pre-computed lookup table. Instead of calculating the relationship between rotational displacement and winding radius dynamically, the system uses stored empirical data, substituting computational complexity with simple table lookup operations.
3Manufacturing precision
If the winding radius information is recorded and used for control, then force control precision improves, but the learning and setup process becomes more complex
Solution Approach 1:
The patent implements self-service by enabling the system to automatically learn and store its own winding radius characteristics during an initial setup phase. The control unit autonomously performs the learning process by executing specific commands and recording the relationship between rotational displacement and winding radius, eliminating the need for manual calibration or complex installation procedures.
Solution Approach 2:
The patent performs the complex learning and calibration process as a one-time preliminary action during installation. Once the lookup table is populated with winding radius information, the system operates with simple, precise control without requiring repeated calibration or complex setup procedures.
Data Source
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AI summary
The method allows the learning of a control unit for the electrical supply of a motor of a home automation actuator operating a roller tube onto which a rollable movable element is designed to roll. It is characterized in that it comprises a step in which an item of information is recorded relating to the rolling radius of the movable element that can be rolled onto the roller tube.