Electric Motor Control Signal Harmonic Stabilization Noise Reduction
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Solution Overview
Problem
Existing electric motor devices, such as compressors, face challenges in reducing noise and vibrations due to fluctuating loads, which existing control methods struggle to effectively manage, leading to suboptimal operational stability and noise levels.
Innovation Solution
A method that combines harmonic control and stabilization control with basic control to create a control signal for electric motors, using a control unit that includes harmonic controllers and stabilization control elements to dampen vibrations and noise, with the stabilization control reacting to load changes and anticipating fluctuations to maintain a stable operating point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If basic control systems are used to manage electric motor operation, then the control structure remains simple, but noise and vibrations cannot be effectively reduced
Solution Approach 1:
The control signal is segmented into multiple independent control components: basic control for operating point setting, harmonic control for specific frequency oscillations, and stabilization control for fluctuations. Each component addresses different aspects of noise and vibration independently, allowing targeted reduction without requiring complete system redesign.
Solution Approach 2:
A control unit acts as an intermediary between the motor control system and the power supply, processing and combining multiple control signals (basic control signal, harmonic control signal, stabilization control signal) to generate an optimized overall control signal that reduces noise and vibrations while maintaining simple motor hardware.
2Object-affected harmful factors
If multiple harmonic controllers are used to address different frequencies, then noise reduction effectiveness increases, but computing power requirements and device complexity increase
Solution Approach 1:
Instead of implementing harmonic control for all possible frequencies, the system applies harmonic control selectively to specific dominant oscillation frequencies identified through analysis. This partial action approach achieves significant noise reduction with minimal computing resources by focusing only on the most problematic frequencies.
Solution Approach 2:
The frequency spectrum is segmented into different control domains: specific harmonic frequencies are handled by dedicated harmonic controllers, while stabilization control handles remaining fluctuations and lower frequencies. This segmentation allows efficient allocation of computing resources to where they are most needed.
3Stability of the object's composition
If stabilization control reacts to load changes, then operational stability improves, but response time may be delayed compared to feedforward approaches
Solution Approach 1:
The stabilization control uses feedforward mechanisms to anticipate load changes and apply compensatory control signals before the fluctuations occur. By detecting patterns in load variations and pre-applying correction, the system maintains stability without waiting for deviations to manifest, thus avoiding response delays.
Solution Approach 2:
The system combines feedforward stabilization control with feedback mechanisms that continuously monitor actual motor performance and adjust control signals accordingly. This hybrid approach ensures both rapid response to anticipated changes and continuous correction of actual deviations, maintaining operational stability.
Data Source
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AI summary
The invention relates to a method for the low-noise operation of an electric motor device, in particular a compressor, wherein in at least one method step a control signal (14a; 14b; 14c; 14d; 14e; 14f) dependent on a controlled variable is transmitted to an electric motor (16a; 16b; 16c; 16d; 16e; 16f) of the electric motor device. It is proposed that the control signal (14a; 14b; 14c; 14d; 14e; 14f) is generated as a function of a harmonic control (18a; 18b; 18c; 18d; 18e; 18f) of the controlled variable and as a function of a stabilization control (20a; 20b; 20c; 20d; 20e; 20f) of the controlled variable.