Energy-saving optimization on active disturbance rejection decoupling multivariable control
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초록
An industrial control process multiple-input multiple-output (MIMO) coupled system is analyzed in this study as an example of a Loss of Coolant Accident (LOCA) simulation system. Ordinary control algorithms can complete the steady state of the control system and even reduce the response time to some extent, but the entire system still consumes a large amount of energy after reaching the steady state. So a multivariable decoupled energy-saving control method is proposed, and a novel energy-saving function (economic function, Eco-Function) is specially designed based on the active disturbance rejection control algorithm. Simulations and LOCA simulation system tests show that the Eco-function algorithm can cope with the uncertainty of the multivariable system's internal parameters and external disturbances, and it can save up to 67% of energy consumption in maintaining the parameter steady state.
Abstract
An industrial control process multiple-input multiple-output (MIMO) coupled system is analyzed in this study as an example of a Loss of Coolant Accident (LOCA) simulation system. Ordinary control algorithms can complete the steady state of the control system and even reduce the response time to some extent, but the entire system still consumes a large amount of energy after reaching the steady state. So a multivariable decoupled energy-saving control method is proposed, and a novel energy-saving function (economic function, Eco-Function) is specially designed based on the active disturbance rejection control algorithm. Simulations and LOCA simulation system tests show that the Eco-function algorithm can cope with the uncertainty of the multivariable system's internal parameters and external disturbances, and it can save up to 67% of energy consumption in maintaining the parameter steady state.
참고문헌 (28)
- Lu Liu, "A Review of Industrial MIMO Decoupling Control", International Journal of Control, Automation, and Systems, 17(5), pp.1246~1254 (2019), 제어·로봇·시스템학회[DOI]
- Areai Nuerlan, "Decoupling header steam pressure control strategy in Multi-Reactor and Multi-Load Nuclear Power Plant", Progress in Nuclear Energy, 118, pp.103073~ (2020), Elsevier BV[DOI]
- Tassadit Chekari, "IMC-PID Fractional Order Filter Multi-loop Controller Design for Multivariable Systems Based on Two Degrees of Freedom Control Scheme", International Journal of Control, Automation, and Systems, 16(2), pp.689~701 (2018), 제어·로봇·시스템학회
- 김민성, "Adaptive Iterative Learning Controller with Input Learning Technique for a Class of Uncertain MIMO Nonlinear Systems", International Journal of Control, Automation, and Systems, 15(1), pp.315~328 (2017), 제어·로봇·시스템학회[DOI]
- Li Sun, "A Practical Multivariable Control Approach Based on Inverted Decoupling and Decentralized Active Disturbance Rejection Control", Industrial & Engineering Chemistry Research, 55(7), pp.2008~2019 (2016), American Chemical Society (ACS)[DOI]
- Y. Cheng, "Multivariable inverted decoupling active disturbance rejection control and its application to a distillation column process", Acta Autom. Sin, 43(6), pp.1080~1088 (2017)[DOI]
- B. li, "Active magnetic suspension bearing sliding mode active anti-jamming decoupling control", Electr. Mach. Control, 2021, pp.25(7), ~
- B. Sui, "Nonlinear mimo decoupling adrc control method based on real-time variable inverse matrix solution", Fire Control Command Control, 46(12), pp.8~ (2021)[DOI]
- Shobhit Misra, "Design of Experiments for Control-Relevant Multivariable Model Identification: An Overview of Some Basic Recent Developments", Processes, 5(4), pp.42~ (2017), MDPI AG[DOI]
- Gustavo Scaglia, "Tracking Control Design in Nonlinear Multivariable Systems: Robotic Applications", Mathematical Problems in Engineering, 2019, pp.1~15 (2019), Hindawi Limited[DOI]
- Alexandre Marques de Almeida, "A Survey of Fractional Order Calculus Applications of Multiple-Input, Multiple-Output (MIMO) Process Control", Fractal and Fractional, 4(2), pp.22~ (2020), MDPI AG[DOI]
- Sh. Sheykhi, "Thermal-hydraulic and stress analysis of AP1000 reactor containment during LOCA in dry cooling mode", Nuclear Science and Techniques, 28(6), pp.1~13 (2017), Springer Science and Business Media LLC[DOI]
- Juan Chen, "Analysis on LOCA for CSR1000", Annals of Nuclear Energy, 110, pp.903~908 (2017), Elsevier BV[DOI]
- Guanyi Wang, "Experimental study on accident transients and flow instabilities in a PWR-type small modular reactor", Progress in Nuclear Energy, 104, pp.242~250 (2018), Elsevier BV[DOI]
- Min-Gil Kim, "Implication of LOCA characteristics of large PWR and SMR for future development of intelligent nuclear power plant control system", Annals of Nuclear Energy, 127, pp.237~247 (2019), Elsevier BV[DOI]
- M. Machado, "Case study: level and temperature multivariable control and design via arduino through control loop decoupling", 2018 19th International Carpathian Control Conference (ICCC), pp.247~252 (2018), IEEE
- Sergio Fragoso, "Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine", Sustainability, 9(5), pp.713~ (2017), MDPI AG[DOI]
- Pavel Navratil, "Control of a Multivariable System Using Optimal Control Pairs: A Quadruple-Tank Process", IEEE Access, 8, pp.2537~2563 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- S. Khandelwal, "Centralized control with decoupling approach for large scale multivariable processes", TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp.2633~2638 (2019), IEEE
- Chunyan Wang, "Decoupling control of vehicle chassis system based on neural network inverse system", Mechanical Systems and Signal Processing, 106, pp.176~197 (2018), Elsevier BV[DOI]
- S. Dasgupta, "Decoupling controller design for a multivariable time delay system", 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE), pp.189~194 (2020), IEEE
- C. Pu, "Decoupling control of distillation column based on active disturbance rejection control", 2021 3rd International Conference on Applied Machine Learning (ICAML), pp.477~481 (2021), IEEE
- B. Shi, "Study on multivariable decoupling control of small PWR pressurizer based on active disturbance rejection control", Nucl. Power Eng, 42(5), pp.143~148 (2021)[DOI]
- Jingqing Han, "From PID to Active Disturbance Rejection Control", IEEE Transactions on Industrial Electronics, 56(3), pp.900~906 (2009), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Zhiqiang Gao, "Scaling and bandwidth-parameterization based controller tuning", Proc. Am. Control Conf, 6, pp.4989~4996 (2006), IEEE
- Zefang Wang, "Study on failure mechanism of prestressed concrete containments following a loss of coolant accident", Engineering Structures, 202, pp.109860~ (2020), Elsevier BV[DOI]
- Liu Wang, "Development and applicability analyses of ADS-4 entrainment model in large advanced PWR", Nuclear Engineering and Design, 356, pp.110379~ (2020), Elsevier BV[DOI]
- Yu Quan Li, "Analyses of ACME integral test results on CAP1400 small-break loss-of-coolant-accident transient", Progress in Nuclear Energy, 88, pp.375~397 (2016), Elsevier BV[DOI]
