# Model based MIN/MAX override control of centrifugal compressor systems

**Authors:** Rico Schulze, Hendrik Richter  
**arXiv:** [2302.06934](https://arxiv.org/abs/2302.06934)  
**Date:** 2023-02-14  
**Summary page:** https://www.summarizepaper.com/en/paper/2302.06934v1/

## Key points

- Application-oriented nonlinear control of centrifugal compressors
- Need for systems to adjust to variable process demands and operate within valid operation ranges
- Modification of compressor model to account for industrial features
- Use of nonlinear output regulation via internal model principle combined with MIN/MAX-override control for trajectory tracking between state constraints
- Future work suggested in implementing MIN/MAX-override concept in a real centrifugal air compressor system and investigating robustness against uncertainties
- Importance of understanding how disturbance inputs can be measured or modeled in practical applications
- Expansion of compressor model to incorporate additional fluid dynamical phenomena, such as changes in rotational speed and different input/output conditions for multi-stage compressors
- Improvement of compressor map model using pseudo-invariant characteristics or efficiency maps that account for variable gas conditions
- Potential for augmenting control concepts with computational intelligence methods for better analysis and utilization

## Summary

The summary discusses the application-oriented nonlinear control of centrifugal compressors and highlights the need for these systems to adjust to variable process demands and operate within valid operation ranges. It also mentions the modification of a compressor model to account for industrial features and the use of nonlinear output regulation via the internal model principle combined with MIN/MAX-override control for trajectory tracking between state constraints. Future work is suggested in several directions, including implementing the MIN/MAX-override concept in a real centrifugal air compressor system and investigating robustness against uncertainties. Understanding how disturbance inputs can be measured or modeled in practical applications is crucial, as well as expanding the compressor model to incorporate additional fluid dynamical phenomena. This could include considering changes in rotational speed, accounting for different input and output conditions for multi-stage compressors, and improving the compressor map model by using pseudo-invariant characteristics or efficiency maps that account for variable gas conditions. Additionally, there is potential for augmenting control concepts with computational intelligence methods to enhance information extraction from compressor operations for better analysis and utilization. Overall, this refined summary provides a more detailed overview of existing research on application-oriented nonlinear control of centrifugal compressors while also highlighting potential avenues for future investigation and development in this field.