Rotor Driving System Using Estimated Frequency for Unbalance Force Rejection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional rotor driving systems face challenges in accurately controlling rotor position at high revolution frequencies due to unbalance forces caused by temperature and manufacturing tolerances, leading to vibrations and instability, as the control force required increases with frequency and is often misaligned with the actual revolution frequency due to sensing errors from vibrations or slip.
Innovation Solution
A rotor driving system comprising a revolution sensor, sensing circuit, and controller that generates an estimated revolution frequency using historical and current measured values and a reference value, enabling the generation of a rotor driving signal to accurately control the rotor's rotation, employing methods like the Kalman filter to reduce measurement errors and implement Unbalance Force Rejection Control (UFRC).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the revolution frequency is increased to improve productivity, then the output increases, but the unbalance force increases proportionally to the square of the frequency causing more vibration and requiring larger control force
Solution Approach 1:
The system continuously senses the actual revolution frequency and feeds it back to the controller, which adjusts the control force in real-time based on the difference between actual and target frequencies. This feedback mechanism allows the system to operate at high frequencies while maintaining stability by dynamically compensating for unbalance forces.
Solution Approach 2:
The control force is dynamically adjusted based on the sensed revolution frequency. Instead of using a fixed control force, the system changes the control parameter (control force) according to the actual operating conditions, allowing optimal performance across different revolution frequencies.
2Ease of operation
If the control force is determined based on the instruction indicating target revolution frequency to improve ease of operation, then the control is simplified, but the control force is misaligned with actual frequency due to sensing errors causing instability
Solution Approach 1:
The system uses feedback from the revolution sensor to continuously update the actual revolution frequency, which is then used to adjust the control force. This closed-loop feedback ensures that the control force is always aligned with the actual operating conditions, maintaining stability while keeping the control system simple to operate.
Solution Approach 2:
The system replaces direct mechanical sensing with electrical sensing through the revolution sensor, which converts mechanical rotation into electrical signals. This substitution allows for more accurate and reliable frequency detection, improving control stability without complicating the operation.
3Measurement precision
If the control force is determined based on sensed revolution frequency to improve measurement precision, then the control aligns with actual frequency, but measurement errors from vibration or slip cause inappropriate control force and instability
Solution Approach 1:
The system continuously monitors the revolution frequency and uses this feedback to adjust the control force in real-time. By constantly comparing the sensed frequency with the target frequency and adjusting accordingly, the system compensates for measurement errors and maintains stable control despite vibrations or slip.
Solution Approach 2:
The control system is designed to be dynamic, continuously adapting the control force based on changing operating conditions. This dynamic adjustment allows the system to maintain stability even when measurement errors occur due to vibration or slip, as the control force is constantly being optimized based on current conditions.
Data Source
AI summary
A rotor driving system has a rotor, a revolution sensor, a sensing circuit, a controller, and a rotor driver. The revolution sensor is configured to sense a revolution frequency of the rotor so as to generate a measurement signal. The sensing circuit is electrically connected to the revolution sensor and configured to convert the measurement signal into a current revolution measured value. The controller is electrically connected to the sensing circuit and configured to generate an estimated revolution frequency based on a historical revolution measured value, the current revolution measured value, and a reference value, and generate a rotor driving signal based on the estimated revolution frequency and a revolution control signal. The rotor driver is electrically connected to the controller and configured to drive the rotor to rotate based on the rotor driving signal.