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A practical predictive control algorithm for integral processes and a case study in boiler level system

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High Technology Letters 2005年第3期11卷 263-267页

作者： Zou Tao（邹涛） liu Hongbo li shaoyuan Institute of Automation Shanghai Jiaotong University Shanghai 200030 P.R. China

The Dynamic Matrix Control （DMC） algorithm tor integral processes is investigated in this paper. The reason why the original DMC algorithm cannot be applied to these processes is analyzed. The shifting matrix is transformed into another form and the corresponding theorem is proved, then its applicable range is extended. Compared with other algorithms on the integral processes, this algorithm is more practical and simple to implement. Simulation results also prove its validity. Applying this algorithm, we succeed in the control of the boiler level system in power units.

关键词： integral processes predictive control dynamic matrix control shifting matrix

Max-plus-linear model-based predictive control for constrained hybrid systems: linear programming solution

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控制理论与应用（英文版） 2007年第1期5卷 71-76页

作者： Yuanyuan ZOU shaoyuan li Institute of Automation Shanghai Jiao Tong University Shanghai 200240 China

In this paper, a linear programming method is proposed to solve model predictive control for a class of hybrid systems. Firstly, using the （max, ＋） algebra, a typical subclass of hybrid systems called max-plus-linear （MPL） systems is obtained. And then, model predictive control （MPC） framework is extended to MPL systems. In general, the nonlinear optimization approach or extended linear complementarity problem （ELCP） were applied to solve the MPL-MPC optimization problem. A new optimization method based on canonical forms for max-min-plus-scaling （MMPS） functions （using the operations maximization, minimization, addition and scalar multiplication） with linear constraints on the inputs is presented. The proposed approach consists in solving several linear programming problems and is more efficient than nonlinear optimization. The validity of the algorithm is illustrated by an example.

关键词： Hybrid systems Max-plus-linear systems Model predictive control Canonical form Max-min-plus- scaling function linear programming

Satisfactory Model Predictive Control for a Hybrid Single-phase Seven-level Converter

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CSEE Journal of Power and Energy Systems 2021年第5期7卷 1102-1112页

作者： Mohamed Tamim Touati shaoyuan li Jing Wu Muhammad Ali Muhammad Mansoor Khan Department of Automation SEIEEShanghai Jiao Tong UniversityShanghai 200240China Department of Electrical Engineering.SEIEE Shanghai Jiao Tong UniversityShanghai 200240China.

Today,many hybrid multilevel converters with flying capacitors are being *** the practicality of these converters in reducing the switching devices count and the cost,it is challenging to balance their capacitor voltage *** unbalanced capacitors restrain the converters’performance and lead to failure in delivering the required *** paper proposes a model predictive control(MPC)for a seven-level converter based on an active neutral point clamped converter cascaded with an H-bridge.A conventional MPC uses a single cost function with two terms,one for current tracking and the other for capacitor balancing,which needs an accurate weighting factor to balance *** this work,the suggested MPC adopts a satisfactory optimization *** evaluates the capacitor charge membership to a nominal voltage range to define the degree of freedom in which to optimize the current tracking *** transforms the relationship between the two cost terms into a more collaborative *** proposed MPC improves the output current quality and balances the capacitor charge with the least number of *** and simulation results have validated the controller^effectiveness.

关键词： Hybrid converter model predictive control multilevel converter satisfactory optimization

Data-driven Predictive Control for the Industrial Processes with Multiphase and Transition 25th

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Data-driven Predictive Control for the Industrial Processes ...

第25届中国控制与决策会议

作者： Hua Yang shaoyuan li College of Information Science and Engineering Ocean University of China Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781467355339

Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven predictive control strategy with the consideration of the important multiphase feature. The method aims to feature the multiphase data and use the data to design the controller. First, the data is divided and weighted based on the multiple phases and transitions. Through the minimal image representation, the data-driven prediction of future trajectory can be obtained and thus the computation of dynamic optimization. In the proposed controller, data Hankel matrices is direct incorporated in the predictive control laws, without a model or an intermediate step to meet the given performance specifications. Finally, the proposed predictive controller is demonstrated on a multiphase process.

关键词： Multiphase predictive control data-driven

Personalized Thermal Comfort Modeling based on Support Vector Classification

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Personalized Thermal Comfort Modeling based on Support Vecto...

第36届中国控制会议

作者： Muhammad Javed Ning li shaoyuan li Department of Automation Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

Heating Ventilation and Air Conditioning（HVAC） systems are designed to provide a comfortable indoor thermal environment for the ***,Predicted Mean Vote（PMV） model is used to represent thermal comfort which is only an average model and it cannot reflect the individual differences in thermal *** paper proposes a personalized thermal comfort model based on a machine learning classification algorithm called Support Vector Classification（SVC）.We designed an Android application to collect feedback from occupants about their thermal sensation of the indoor *** feedback data-set is then used to train the personalized thermal comfort *** model accuracy has been verified by comparison between the predicted thermal sensation based on the proposed model and actual thermal sensation *** of the proposed thermal comfort model shows that the proposed model has a potential to save energy as well as capturing the individual differences in thermal comfort.

关键词： Personalized Thermal Comfort Modeling HVAC Systems Support Vector Classification Android Application

Multiple-model Off-line Predictive Control for Fast Time-varying Systems 25th

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Multiple-model Off-line Predictive Control for Fast Time-var...

第25届中国控制与决策会议

作者： Xiangyuan Tao Ning li shaoyuan li the department of Automation Shanghai Jiao Tong University and key laboratory of system control and information processing ministry of education

ISBN: (纸本)9781467355339

To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying （LTV） model. Then the offline model predictive control （OMPC） algorithm is adopted to design local controller for LTV model, whose low computation burden makes it be able to control the fast time-varying process. To track the wide range of operating point, the multiple-model strategy is exploited. By estimating the stable region of local OMPC and selecting appropriate middle operating points, the stable switch between controllers can be guaranteed. Finally, a numerical simulation is given to illustrate the implementation and effectiveness of the proposed method.

关键词： Multiple model offline robust model predictive control large operating regions switching stability.

RTO with Modifier Adaptation Method Applied to the FCC Uint

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RTO with Modifier Adaptation Method Applied to the FCC Uint

第36届中国控制会议

作者： Meng Huang Yi Zheng shaoyuan li Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

Real time optimization（RTO） is widely used in the refinery industries. Fluid catalytic cracking（FCC） process is one of the most complex processes in petrochemical refinery. Due to complex reactions in FCC, the mathematical model of the FCC can’t describe the plant perfectly. The RTO strategy based on mismatch model will lead to sub-optimal results. Modifieradaptation（MA） method is a new strategy solving the modelling mismatch in RTO. A basic MA method is applied to the FCC by using the forward finite-differencing gradient computation. The simulation results show satisfied performance of the MA method.

关键词： Real Time Optimization Fluid Catalytic Cracking Modifier Adaptation

Improving open-circuit voltage and short-circuit current of high-efficiency silicon-based planar heterojunction solar cells by combining V_(2)O_(5)with PEDOT:PSS

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Journal of Materiomics 2023年第3期9卷 438-446页

作者： Zhiting Luo Chen Yang Xiuhua Chen Wenhui Ma shaoyuan li Kaixin Fu School of Materials and Energy Yunnan UniversityYunnan650500China Yunnan Silicon Materials Engineering Technology Research Center Kunming University of Science and Technology650093China National Joint International Research Center for Optoelectronic Energy Materials Yunnan UniversityYunnan650500China

In recent years,a novel PEDOT:PSS/n-Si planar heterojunction solar cell has been extensively studied in the photovoltaic *** V_(2)O_(5)-IPA concentrations mixed in PEDOT:PSS samples as hole transport layer were prepared by means of spin coating technique and mechanical mixing of organic and inorganic materials.V_(2)O_(5)was studied for its effects on the surface morphology,chemical composition,and optical transmittance of PEDOT:PSS *** findings of the study show that the addition of V_(2)O_(5)particles changes the surface morphology of PEDOT:PSS films and promotes its superior ohmic contact with the Si ***,PEDOT:PSS incorporated with V_(2)O_(5)particles that have outstanding optical and semiconductor properties reduces the rate of carrier recombination at the device interface and blocks electron transport to the anode in the fabricated Si-based solar *** compared to conventional PEDOT:PSS/Si planar heterojunction solar cells,the fill factor,photoelectric conversion efficiency,open-circuit voltage,and short-circuit current density of the devices prepared in this study can be significantly improved,reaching up to 70.98%,15.17%,652 mV and 32.8 mA/cm^(2),*** research provides a promising and effective method for improving the photoelectric conversion performance of PEDOT:PSS/Si heterojunction solar cells,which enables the application of V_(2)O_(5)in Si solar cells.

关键词： Si PEDOT:PSS Heterojunction photovoltaic devices V_(2)O_(5)-IPA High conductivity Semiconductor film

Distributed Model Predictive Control for Secondary Voltage of the Inverter-Based Microgrid

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Distributed Model Predictive Control for Secondary Voltage o...

第36届中国控制会议

作者： GUO Zhuoyu li shaoyuan ZHENG Yi Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,we propose a secondary voltage control approach of islanded microgrid based on distributed model predictive control（DMPC）.Each submodule of a distributed generation（DG） is modeled in a rotation reference frame and combine them to achieve the nonlinear complete *** the nonlinear DG dynamics,an input-output feedback linearization is ***,all DGs only use the local and the neighboring nodes information instead of communicating with a central ***,the model predictive controller of each DG is derived and the control of the whole system is fully *** simulation results validate that the proposed controllers can regulate the voltage of distributed generation to the desired reference value.

关键词： Distributed model predictive control feedback linearization nonlinear microgrid secondary Control