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Two-tier control structure design methodology applied to heat exchanger networks

Chinese Journal of chemical engineering 2022年第7期35卷 231-244页

作者： Siwen Gu Lei Zhang Yu Zhuang Weida Li Jian Du Cheng Shao Institute of Chemical Process Systems Engineering School of Chemical EngineeringDalian University of TechnologyDalian 116024China Jiangsu Collaborative Innovation Center for Cultural Creativity School of Photoelectric EngineeringChangzhou Institute of TechnologyChangzhou 213032China Institute of Advanced Control Technology School of Control Science and EngineeringDalian University of TechnologyDalian 116024China

Because of its paramount importance in the successful industrial control strategy of a given heat exchanger network(HEN),the control structure designs for providing appropriate manipulated variable(MV)and controlled variable pairings have received considerable ***,quite frequently HENs with such control structures face the problem of hard constraints,typically holding the HENs at less controlled operating *** both the MV pairings and the above control pairings should be considered to design a control *** paper investigates the systematic incorporation of the two pairings,and presents a methodology for designing such two-tier control *** is developed based on the sequential strategy,coupling an indirect-tier with direct-tier control structure design,wherein the intention is realized in the former stage and the latter is implemented for further *** MV identification and pairing are achieved through variations in heat load of heat exchangers to design the indirect-tier control *** the direct-tier control structure is followed the relative gain array pairing *** the proposed methodology,on the one hand,it generates an explicit connection between the MV pairings and the HEN configuration,and the quantitative interaction measure is improved to avoid the multiple solutions to break the relationship among all the control pairings into individuals;on the other hand,a two-tier control structure reveals control potentials and control system design requirements,this may avoid complex and economically unfavourable control and HEN *** application of proposed framework is illustrated with two cases involving the dynamic simulation analysis,the quantitative assessment and the random test.

关键词： Heat exchanger networks(HENs) controllability Two-tier control structure Manipulated variable pairing control pairing

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Compound Product of Hypermatrices

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Journal of systems Science & Complexity 2024年第1期37卷 169-183页

作者： CHENG Daizhan MENG Min ZHANG Xiao JI Zhengping Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Department of Control Science and Engineering School of Electronics and Information EngineeringTongji UniversityShanghai 201210China National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100149China.

The semi-tensor product(STP)of matrices is generalized to multidimensional arrays,called the compound product of *** product is first defined for three-dimensional hypermatrices with compatible orders and then extended to general *** different types of hyperdeterminants are introduced and certain properties are *** Lie groups and Lie algebras corresponding to the hypermatrix products are ***,these results are applied to dynamical systems.

关键词： Compound semi-tensor product hyperdeterminants hypereigenvalues and hypereigenvectors hypergeneral linear groups hypermatrices.

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Enhancement in Smart Operation of Greenhouse Environment Using Intelligent Biomimetic control Framework

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SN Computer Science 2024年第3期5卷 287页

作者： Revathi, S. Sivakumaran, N. Radhakrishnan, T.K. Department of Electrical and Electronics Engineering National Institute of Technology Puducherry India Department of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli India Department of Chemical Engineering National Institute of Technology Tiruchirappalli India

The greenhouse is a complex nonlinear system, which provides a suitable growing environment for plants. Realizing a comprehensive control for such systems is more challenging in the premise of the presence of model parameter uncertainties and variable time delay. This work presents, develops, and tests the methodology entrenched from the computational inspiration of the biologic immune concept. Mostly, in contention to the widely used classical approach of greenhouse control, an essential facet of the bioinspired algorithm is integrated that synergizes its strength. In this work, the study considers proportional integral and pseudo-derivative-feedback controllers and the artificial immune feature supplements it for the proposal of a new unifying control framework. The non-intelligent techniques are more classical, whereas intelligent techniques involving resistant feature is still relatively new to the control arena. The main distinguishing feature is the superficial resemblance to the conventional controller, but it is inherently more flexible and sophisticated and can exploit the power of heuristics. To deal with the system realistically and to ensure robustness, the Kharitonov theorem is used to synthesize the controller by elucidating the relationship between coefficient perturbations, set of test eight specially constructed vortex polynomials and its stability. Further, Hardware in Loop simulation is performed to verify the performance near physical operating conditions and the results validate the efficacy of the proposed controller frameworks with improvement in dynamic performance and robustness. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2024.

关键词： Artificial immune feedback Complex Kharitonov polynomial Greenhouse environment Hardware in loop simulation

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Reduced-Order Underwater Vehicle Dynamics Model Determination Considering Navigation Performance

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Transactions of the Korean Institute of Electrical Engineers 2024年第6期73卷 1012-1022页

作者： Kim, Jin-Kwan Whang, Ick-Ho Ra, Won-Sang Park, Seung-Hyo School of Mechanical and Control Engineering Handong Global University Korea Republic of Department of Mechanical and Control Engineering Handong Global University Korea Republic of Naval Combat Systems PMO Marine Technology Research Institution Agency for Defense Development Korea Republic of

This paper proposes a novel approach to VDM(vehicle dynamics model) determination problem for model-aided navigation of an AUV(autonomous underwater vehicle) when the DVL(doppler velocity log) is unavailable. The conventional algorithms have been developed based on the well-known GHM(Gertler-Hagen hydrodynamics model). Unfortunately, the GHM is generally high-ordered so that it is hard to design GHM based applications working stable in actual situations with high uncertainties. To improve this problem, idea to use the transfer function for ground-heading control loop instead of GHM was proposed but it is still high-ordered to retain the stability problems. In this paper, we suggest a revolutionary reduced order VDM for AUV model-aided navigation. The order of our model is drastically reduced enough to show stable and consistent performances in real applications, while the errors due to the model reduction are mitigated under the newly introduced concept of zero model-output error integral to produce small dead-reckoning navigation errors. Simulation results show that our method demonstrates critically improved performances, compared to conventional EKF(extended Kalman filter) methods using the closed-loop heading control transfer function, in stability and consistency. Copyright © The Korean Institute of Electrical Engineers.

关键词： Transfer functions

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Solar Panel Recycling from Circular Economy Viewpoint: A Review

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Applied Solar Energy (English translation of Geliotekhnika) 2024年第2期60卷 328-345页

作者： K Sivagami Bose, Siddharth Vinayak, Anil Kumar Sreenivas, Malavika Ghosh, Ahana Narasimhan, Mukundan Gurumoorthy, Anand V P School of Chemical Engineering Vellore Institute of Technology Vellore Tamil Nadu India Chemical and Materials Engineering Department University of Alberta 116 St NW Edmonton Canada Playsolar Systems Pvt Ltd Manuvana Vijaya Nagar Bengaluru India

Abstract: Solar energy has emerged as a prominent contender in this arena, attracting significant attention across the globe. Governments worldwide have undertaken extensive efforts to encourage the adoption of renewable energy, increasing the usage of solar panels. Despite its benefits, the deployment of photovoltaic (PV) modules generates significant waste, thereby posing a major environmental challenge. This study explores several recycling techniques, including physical, thermal, and chemical methods, that could be employed to manage solar panel waste. An in-depth analysis of separation techniques presently employed and underdevelopment was studied and compared to determine the physical treatment necessary for the separation of glass and aluminium. Extraction of rare earth metals cadmium, copper and tellurium requires chemical treatments using organic and inorganic solvents along with thermal treatment at 500–600°C to remove the EVA polymer. Recovery of silicon wafers and rare metals through various metal extraction processes is further examined. Europe was concluded as a frontrunner in solar waste management policies after analysis of the governmental policies of developed and developing nations of the world. The circular economy model developed portrayed a systematic approach for the removal of different components of a solar panel and reintegration into the manufacturing process. The implementation of a robust circular economy for renewable energy systems is conditional upon the optimization of resource recovery while minimizing energy consumption and this serves as the governing framework of this review. © Allerton Press, Inc. 2024. ISSN 0003-701X, Applied Solar Energy, 2024, Vol. 60, No. 2, pp. 328–345. Allerton Press, Inc., 2024.

关键词： Solar panels

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Wavelet Transformation for Recognizing Various Defects in Diagnosis of Power Transformers

Wavelet Transformation for Recognizing Various Defects in Di...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Kuznetsov, Andrey A. Volchanina, Maria A. Gorlov, Anton V. Department 'Theoretical electrical engineering' Omsk Russia Department 'Automation and control systems' Omsk Russia 'Theoretical electrical engineering' Omsk Russia

The article discusses the use of discrete wavelet transform in diagnosing power oil-filled transformers using automated acoustic monitoring tools. The article is based on the results of experiments using a simulator with an expanded set of defects. Comparison of acoustic signals on a power transformer with signals from a defect simulator made it possible to formulate a criterion for the presence of an insulation defect. An experimental test of the proposed criterion was carried out on signals of various powers and using electrodes of various shapes. The paper presents expressions that implement the criterion for recognizing the type and degree of development of an insulation defect in power transformers. Examples of processing acoustic signals using wavelet transformation in the MatLab program are given. For each type of signals considered, numerical values of the defect recognition criterion are given. At the end of the article, conclusions and prospects for further development of the proposed approach are formulated. © 2024 IEEE.

关键词： MATLAB

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Comparative CFD-DEM study of flow regimes in spout-fluid beds

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Particuology 2024年第2期85卷 323-334页

作者： Hamed Hoorijani Behrad Esgandari Reza Zarghami Rahmat Sotudeh-Gharebagh Navid Mostoufi Multiphase Systems Research Lab School of Chemical EngineeringCollege of EngineeringUniversity of TehranP.O.Box 11155-4563TehranIran Department of Particulate Flow Modelling Johannes Kepler UniversityAltenbergerstr.694040LinzAustria

Spout-fluid beds are unique systems that require thorough study prior to their industrial *** this study,the hydrodynamics of spout-fluid beds were investigated using 3D computational fluid dy-namics coupled with discrete element method(CFD-DEM).Three flow regimes,including jet-in-fluidized bed,spouting-with-aeration,and intermediate/spout-fluidization were studied,and the particle mixing was quantified in these regimes using the Lacey mixing *** results showed that both axial and lateral mixing rates are better in jet-in-fluidized bed and the spouting-with-aeration flow regimes,with the axial mixing being superior to the lateral in all flow *** the diffusivity coefficient revealed that mixing in the jet-in-fluidized bed flow regime is better due to the formation and eruption of bubbles in the ***,the granular temperature was analyzed in all flow regimes,and higher particle velocity fluctuations were observed in the spouting-with-aeration and the jet-in-fluidized bed flow regimes due to the higher spout gas velocity and formation of bubbles in the *** study provides valuable insights into the hydrodynamics of spout-fluid beds in different flow regimes,which can aid in the design and optimization of spout-fluid bed reactors for various industrial applications.

关键词： Flow regime Mixing Diffusivity CFD-DEM Hydrodynamics Spout-fluid bed

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Pilot scale production of biodiesel from Madhuca indica and comparative techno-economic analysis

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Environmental Science and Pollution Research 2025年 1-18页

作者： Subramani, Sudalai Sambath, Rithika Ponnuvel, Aishwariya Kumaran, Divyashree Rajesh, Sudharsan Murugesan, Ajay Muruhan, Sridevi Sankar, Rahul Ganesan, Devanesan Minnampalli Arumugam, Arumugam Lab Centre for Bioenergy School of Chemical & Biotechnology SASTRA Deemed University Thirumalaisamudram Tamil Nadu Thanjavur613401 India Centre for Pollution Control and Environmental Engineering School of Engineering and Technology Pondicherry University Puducherry Kalapet605014 India Department of Biotechnology Vinayaka Mission’s Kirupananda Variyar Engineering College Salem636308 India Department of Chemical Engineering Annamalai University Tamil Nadu Chidambaram India

The increasing global energy demand and the depletion of conventional fossil fuel supplies, coupled with greenhouse gas emissions from excessive fossil fuel use, open the door for consideration of renewable energy sources. Among these, biodiesel has arisen as a sustainable and feasible alternative, providing environmental and economic advantages by reducing dependence on finite fossil fuel resources. This study focuses on biodiesel production from Madhuca indica seed oil using three catalysts: HCl, KOH, and dolomite. The optimum reaction parameters were methanol:oil molar ratio 20:1, catalyst weight percentage 5% and reaction temperature 60 °C. The reaction duration for each catalyst was 20 h for acid-catalyzed (HCl) process, 2 h for alkali-catalyzed (KOH) process, and 10 h for dolomite-based reaction. The biodiesel yields for acid, alkali, and dolomite catalysts are 94%, 96%, and 93%, respectively. According to the techno-economic study conducted with Aspen Plus, the payback periods for transesterification based on acid, alkali, and dolomite would be 3.66, 5.42, and 2.96 years, respectively. These results demonstrate the economic viability of dolomite as a green catalyst with competitive biodiesel yields and the shortest payback period. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Potassium hydroxide

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Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian Liu D.C.Wunsch Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spacecraft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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Data-Efficient Quadratic Q-Learning Using LMIs 63

Data-Efficient Quadratic Q-Learning Using LMIs

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Van Hulst, J.S. Heemels, W.P.M.H. Antunes, D.J. Eindhoven University of Technology Control Systems Technology Section Department of Mechanical Engineering Netherlands

ISBN: (纸本)9798350316339

Reinforcement learning (RL) has seen significant research and application results but often requires large amounts of training data. This paper proposes two data-efficient off-policy RL methods that use parametrized Q-learning. In these methods, the Q-function is chosen to be linear in the parameters and quadratic in selected basis functions in the state and control deviations from a base policy. A cost penalizing the 1-norm of Bellman errors is minimized. We propose two methods: Linear Matrix Inequality Q-Learning (LMI-QL) and its iterative variant (LMIQLi), which solve the resulting episodic optimization problem through convex optimization. LMI-QL relies on a convex relaxation that yields a semidefinite programming (SDP) problem with linear matrix inequalities (LMIs). LMI-QLi entails solving sequential iterations of an SDP problem. Both methods combine convex optimization with direct Q-function learning, significantly improving learning speed. A numerical case study demonstrates their advantages over existing parametrized Q-learning methods. © 2024 IEEE.

关键词： Convex optimization

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