HVAC Actuator Vibration Suppression via Adaptive Filtering
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Solution Overview
Problem
Regulating circuits with actuating drives for flaps and valves in HVAC systems often experience unwanted vibrations due to unstable settings or disturbances, leading to early failure of the drives and degraded regulating performance when attempting to suppress these vibrations.
Innovation Solution
A method using a microprocessor-based algorithm for vibration detection, adaptive filtering, and step detection to identify and dampen vibrations by adjusting the system's gain and phase, employing wavelet analysis for accurate frequency determination and self-adaptive filtering with a lag element to suppress vibrations without degrading regulating performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the gain of the regulator is reduced to suppress vibrations, then vibrations are suppressed, but regulating performance degrades significantly
Solution Approach 1:
The patent applies dynamics by making the vibration suppression active only during actual vibration conditions rather than being continuously active. The system dynamically activates and deactivates the suppression based on vibration detection, allowing full regulating performance during normal operation while suppressing vibrations only when they occur. This resolves the contradiction by making the suppression adaptive rather than static.
Solution Approach 2:
The patent changes the parameter of regulator gain dynamically based on vibration detection. When vibrations are detected, the gain is reduced to suppress them; when no vibrations are present, the gain returns to normal for optimal regulating performance. This parameter change approach allows the system to achieve both vibration suppression and good regulating performance at different times.
2Reliability
If vibration suppression means are integrated in the regulator, then vibrations can be suppressed, but regulating performance is significantly degraded
Solution Approach 1:
The patent applies self-service by implementing a self-adaptive vibration suppression system that automatically detects vibrations and adjusts its own parameters without external intervention. The system monitors its own performance, detects vibration conditions, and self-regulates the suppression level, eliminating the need for manual configuration while maintaining regulating performance.
Solution Approach 2:
The patent uses feedback by continuously monitoring the system output for vibration signatures and using this information to adjust the suppression level. The feedback loop allows the system to maintain optimal regulating performance while suppressing vibrations, as the suppression is adjusted based on actual system behavior rather than fixed parameters.
3Reliability
If adaptive means are used to suppress vibrations, then vibrations can be eliminated, but configuration requirements and complexity increase
Solution Approach 1:
The patent applies self-service by creating a self-configuring vibration suppression system that automatically adapts to different operating conditions without requiring user configuration. The system self-identifies vibration frequencies and adjusts suppression parameters autonomously, eliminating the complexity of manual configuration while maintaining effective vibration suppression.
Solution Approach 2:
The patent applies universality by designing a vibration suppression system that works across multiple operating conditions and vibration types without requiring reconfiguration. The universal algorithm can handle different frequencies, amplitudes, and vibration patterns, making the system multi-functional and configuration-free.
Data Source
AI summary
Disclosed are a method and a device for suppressing vibrations (18) in an installation comprising an actuator (14) for actuating a flap (12) or a valve (70) used for metering a gas or liquid volume flow (16), especially in the area of HVAC, fire protection, or smoke protection. Vibrations (18) of the flap (12) or valve (70) caused by an unfavorable or wrong adjustment or configuration of the controller and/or by disruptive influences are detected and dampened or suppressed by means of an algorithm (1) that is stored in a microprocessor (49). Said algorithm is preferably based on the components recognition of vibrations (46), adaptive filtering (48), and recognition of sudden load variations (50).