Application of Feedforward Cascade Compound Control Based on Improved Predictive Functional Control in Heat Exchanger Outlet Temperature System
Source abstract
Abstract
Aiming at the problems of large delay and poor anti-disturbance ability in the outlet temperature control system of the heat exchanger to optimize the control accuracy of the system and improve the control performance, this paper proposes a control scheme combining predictive functional control with proportional-integral-derivative control. Using the incremental proportional-integral-derivative control algorithm to improve the optimization objective function of the predictive functional control algorithm, a predictive functional control optimization model with a proportional-integral-derivative structure is established. The feedforward compensation control is adopted to eliminate the influence of external disturbances on the heat exchanger temperature control system. Through simulation, the proposed control scheme is compared with the feedforward cascade compound control scheme based on a proportional-integral-derivative main controller. The results show that the scheme has a small over harmonic and strong anti-interference ability. The adaptability and stability of the system are significantly improved, and the exit temperature of the heat exchanger can be effectively controlled.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Control Systems Optimization · Advanced Control Systems Design · Iterative Learning Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China
References (33)
Show source-provided references
1. Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method10.1016/j.rser.2020.110479 ↗
2. Soave, N., and Barolo, M. (2021). On the Effectiveness of Heat-Exchanger Bypass Control. Processes, 9.10.3390/pr9020244 ↗
3. A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating10.1016/j.apenergy.2019.114109 ↗
4. Forty years of Heat Integration: Pinch Analysis (PA) and Mathematical Programming (MP)10.1016/j.coche.2013.10.003 ↗
5. Fluid temperature control using heat exchanger10.1016/j.promfg.2018.03.058 ↗
6. Effect of air temperature non-uniformity on water-air heat exchanger thermal performance—Toward innovative control approach for energy consumption reduction10.1016/j.apenergy.2016.04.076 ↗
7. Corrosion risk analysis of tube-and-shell heat exchangers and design of outlet temperature control system10.1016/j.petsci.2021.07.002 ↗
8. Passivity based control of heat exchanger networks with application to nuclear heating10.1016/j.energy.2021.120107 ↗
9. State-of-the-art and progress in the optimization-based simultaneous design and control for chemical process10.1002/aic.13786 ↗
10. Simplified modeling of liquid-liquid heat exchangers for use in control systems10.1016/j.applthermaleng.2017.03.033 ↗
11. Vrancic, D., Oliveira, P.M., Bistak, P., and Huba, M. (2023). Model-Free VRFT-Based Tuning Method for PID Controllers. Mathematics, 11.10.3390/math11030715 ↗
12. Database-driven practical online adjustment of PID parameters10.1002/tee.23558 ↗
13. First Order Plus Dead Time Model Approximation and Proportional-Integral-Derivative Controllers Tuning for Multi-Volume Process10.1166/jno.2022.3253 ↗
14. An explicit robust stability condition for uncertain time-varying first-order plus dead-time systems10.1016/j.isatra.2021.07.046 ↗
15. Huba, M., and Vrancic, D. (2022). Tuning of PID Control for the Double Integrator Plus Dead Time Model by Modified Real Dominant Pole and Performance Portrait Methods. Mathematics, 10.10.3390/math10060971 ↗
16. Huba, M., Oliveira, P.M., Bistak, P., Vrancic, D., and Zakova, K. (2021). A Set of Active Disturbance Rejection Controllers Based on Integrator Plus Dead-Time Models. Appl. Sci., 11.10.3390/app11041671 ↗
17. Nauman, M., Shireen, W., and Hussain, A. (2022). Model-Free Predictive Control and Its Applications. Energies, 15.10.3390/en15145131 ↗
18. Control of a heat exchanger using neural network predictive controller combined with auxiliary fuzzy controller10.1016/j.applthermaleng.2015.02.063 ↗
19. Local balance-based adaptive control in the heat distribution system—Practical validation10.1016/j.applthermaleng.2009.12.021 ↗
20. Robust model predictive control for heat exchanger network10.1016/j.applthermaleng.2014.08.023 ↗
21. Implementation of a neural network MPC for heat exchanger network temperature control10.1007/s43153-020-00058-2 ↗
22. Robust model predictive control and PID control of shell-and-tube heat exchangers10.1016/j.energy.2018.06.106 ↗
23. An improved constrained predictive functional control for industrial processes: A chamber pressure process study10.1177/0020294019881739 ↗
24. Neural network predictive control of a heat exchanger10.1016/j.applthermaleng.2011.01.026 ↗
25. Sun, H.C., Weng, W.Q., and Wei, J. (2010). Process Control Systems and Engineering, Chemical Industry Press. [3rd ed.]. (In Chinese).
26. Simulation research on the grid connected generation system of solar thermal power generation10.2298/TSCI191125115L ↗
27. Richalet, J., and O’Donovan, D. (2009). Predictive Functional Control: Principles and Industrial Applications, Springer. [1st ed.].10.1007/978-1-84882-493-5 ↗
28. Improved fuzzy PID controller design using predictive functional control structure10.1016/j.isatra.2017.09.005 ↗
29. Flow control of fluid in pipelines using PID controller10.1109/ACCESS.2019.2897992 ↗
30. Haber, R., Bars, R., and Schmitz, U. (2011). Predictive Control in Process Engineering: From the Basics to the Applications, Wiley-VCH. [1st ed.].10.1002/9783527636242 ↗
31. Industrial feedforward control technology: A review10.1007/s10845-018-1399-6 ↗
32. Comparison of additive and multiplicative feedforward control10.1016/j.jprocont.2022.01.004 ↗
33. A unified design for feedback-feedforward control system to improve regulatory control performance10.1007/s12555-014-0090-8 ↗