Compressor System Models for Dynamic Control and Fault Diagnosis
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Solution Overview
Problem
Existing compressor systems lack a precise method for controlling and monitoring, as they typically rely on standard control and analysis methods that do not account for the specific operational relationships and dynamic processes within the system.
Innovation Solution
The development of derived models based on output models, which take into account the operational relationships between compressors and peripheral devices, and dynamic processes, to improve control, monitoring, diagnostic, and evaluation routines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard control and analysis methods are used that are adapted to local conditions merely by parameterization, then the system is easy to operate and implement, but the control precision and diagnostic accuracy are insufficient because they do not account for specific operational relationships and dynamic processes
Solution Approach 1:
The system is divided into multiple independent models: a system model representing the overall compressor system, and multiple component models representing individual compressors and peripheral devices. Each model captures specific operational relationships and dynamic processes at its level, allowing precise control while maintaining manageable complexity through modular structure.
Solution Approach 2:
The patent implements dynamic models that continuously adapt to changing operational conditions. The system model and component models incorporate time-varying parameters and dynamic relationships, enabling the control system to respond to transient states and evolving system behavior rather than relying on static parameterization.
2Reliability
If a model-based control approach is implemented that accounts for operational relationships and dynamic processes, then control precision and diagnostic capability are improved, but the device complexity and implementation difficulty increase
Solution Approach 1:
The diagnostic system is segmented into a system-level diagnostic model and component-level diagnostic models. This segmentation allows the complex diagnostic task to be distributed across multiple independent models, each responsible for specific aspects of system health monitoring, thereby improving diagnostic accuracy while making implementation more manageable through modular development.
Solution Approach 2:
The patent employs predictive maintenance functionality that performs preliminary diagnostic assessments and predicts future system states before actual failures occur. By analyzing trends in the dynamic models and component interactions, the system can anticipate maintenance needs and potential failures, improving reliability through proactive rather than reactive diagnostics.
Data Source
AI summary
A method for controlling and/or monitoring a compressor system is provided. The compressor system includes one or more compressors and one or more peripheral devices. The compressors and peripheral devices are arranged or connected in a predetermined configuration. The compressor system is controlled and/or monitored by a control/monitoring unit. The method involves creating one or more derived models on the basis of one or more initial models of the compressor system that are based on a P&I diagram. The derived models take into account the operative interrelationships among the individual compressors and peripheral devices, and optionally also dynamic processes. The one or more derived models form the basis for subsequent control, monitoring, diagnosis or evaluation routines.