BLDC Mobility Assist Control for Smooth Speed Switching
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Solution Overview
Problem
Mobility assistance devices with brushless DC motors face challenges in accurately adjusting speed between low and medium speeds, leading to motor vibration and user discomfort due to inadequate torque and speed detection, which increases costs and power consumption.
Innovation Solution
Implementing a mixed algorithm approach using Hall sensor angle compensation and sensorless control to estimate the rotor angle of the brushless DC motor, switching between algorithms based on speed to ensure accurate torque and speed adjustment, thereby reducing motor vibration and discomfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the motor device is directly switched between low speed and medium speed, then the speed adjustment requirement is met, but motor vibration occurs causing user discomfort
Solution Approach 1:
The patent implements dynamic speed adjustment by dividing the speed transition into multiple intermediate steps rather than a direct switch. The control system dynamically calculates intermediate speed values between low and medium speeds, and transitions through these steps sequentially, allowing the motor to adapt gradually to speed changes and avoiding sudden torque variations that cause vibration.
Solution Approach 2:
The patent employs periodic speed adjustment actions by implementing a stepwise transition process. The motor speed is adjusted in discrete time intervals through multiple intermediate steps, creating a periodic control pattern that smooths the transition and prevents harmful vibrations while still achieving the required speed change.
2Measurement precision
If expensive sensors and complex control systems are used to achieve accurate speed control, then control precision is improved, but device cost increases
Solution Approach 1:
The patent implements self-service control by using the motor's own back-EMF signals and current measurements to infer speed and position information. The control system processes these inherently available signals through algorithms to achieve accurate speed detection and control without requiring additional expensive sensors, making the system self-sufficient and cost-effective.
Solution Approach 2:
The patent replaces mechanical sensing systems (such as encoders or Hall sensors) with an electronic control system that uses electrical measurements and mathematical algorithms to achieve speed detection. This substitution of mechanical sensing with electronic control reduces hardware complexity and cost while maintaining or improving measurement precision.
3Measurement precision
If high-performance motor control systems are implemented, then control accuracy is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by implementing control algorithms that process only the necessary minimum information required for accurate speed control. The system selectively processes back-EMF signals and current measurements only when needed for speed transitions, avoiding continuous full-power processing and reducing overall power consumption while maintaining control accuracy during critical operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution allows for accurate control of the brushless DC motor, reducing motor vibration, improving user comfort, and lowering construction costs and power consumption by optimizing the use of Hall sensors and sensorless control methods.
Implementation Method 1
a rotor angle sensor, and a sensing driver. The rotor angle sensor senses the angle of the brushless DC motor
Implementation Method 2
The brushless DC motor provides a supporting force to the at least one bracket
Data Source
AI summary
A mobility assistance device and a driving method thereof are provided. The mobility assistance device includes at least one bracket and a driving device which drives the at least one bracket. The driving device includes a brushless direct current (DC) motor, a rotor angle sensor, and a sensing driver. The rotor angle sensor senses the angle of the brushless DC motor. The sensing driver uses a corresponding algorithm to estimate a corresponding angle corresponding to an angle velocity switching of the brushless DC motor. The corresponding angle is used as an angle of the brushless DC motor. The sensing driver drives the brushless DC motor according to the corresponding angle, so that the brushless DC motor provides supporting force to the at least one bracket.


