Compressor Anti-Surge Control via Simulation-Based Parameter Tuning
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Solution Overview
Problem
Existing compressor control systems require manual adjustment of PID parameters for anti-surge control, which is time-consuming and inefficient, especially when operational conditions change.
Innovation Solution
A control device and method that includes a simulation unit to model the compressor's operational status based on a plant model, allowing for the adjustment of control parameters to optimize anti-surge valve operation, thereby reducing the effort required for parameter tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of PID parameters is used for anti-surge control, then the compressor can be controlled to prevent surge, but the adjustment process is time-consuming and inefficient
Solution Approach 1:
The control device automatically adjusts PID parameters by simulating compressor operational status and analyzing surge risk, eliminating the need for manual trial-and-error adjustment. The system serves itself by autonomously optimizing control parameters based on real-time operational data and plant models.
Solution Approach 2:
The control device performs simulation and parameter optimization in advance before actual compressor operation. By pre-adjusting PID parameters through virtual testing and analysis, the system prepares optimal control settings that prevent surge without requiring time-consuming manual adjustment during actual operation.
2Productivity
If trial-and-error method is used for PID parameter tuning, then the compressor operation can be optimized, but the adjustment process requires significant effort and time
Solution Approach 1:
The control device replaces manual mechanical adjustment of PID parameters with an automated computational system. The simulation unit and control parameter adjusting unit use computer-based algorithms to automatically tune parameters, substituting the manual trial-and-error process with an efficient automated system that requires minimal operator effort.
Solution Approach 2:
The control device creates a virtual copy of the compressor system through simulation models. By testing and optimizing PID parameters in this virtual environment, the system can identify optimal settings without requiring repeated physical adjustments to the actual compressor, significantly reducing tuning effort and time.
3Adaptability or versatility
If the compressor system is designed under optimal conditions, then the control system can function properly, but the operator must manually adjust PID parameters when operational conditions change
Solution Approach 1:
The control device continuously monitors compressor operational status and compares it with optimal conditions. When deviations are detected, the control parameter adjusting unit automatically modifies PID parameters to maintain optimal performance, creating a closed-loop feedback system that adapts to changing conditions without manual intervention.
Solution Approach 2:
The control system transitions from static PID parameters designed for optimal conditions to dynamic parameters that automatically adapt to changing operational conditions. The simulation unit continuously evaluates different operational scenarios and the control parameter adjusting unit dynamically adjusts parameters to maintain optimal surge prevention across varying conditions.
Data Source
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AI summary
A control device of a compressor (201) includes a valve control unit (11) configured to control an anti-surge valve (206) that returns fluid in a discharge side of the compressor (201) to a suction side of the compressor (201) in accordance with a control parameter, a simulation unit (102) configured to simulate operational status of the compressor (201) in a plant in accordance with a plant model and the control parameter of the plant to which the compressor (201) is installed, and a control parameter adjusting unit (103) configured to adjust the control parameter in accordance with a result of the simulation.