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An Adaptive Dual MPC Scheme based on Output Error Models Parameterized using Generalized Orthonormal Basis Filters

IFAC-PapersOnLine 2017年第1期50卷 9077-9082页

作者： Kumar K. Patwardhan S.C. Noronha S. Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Department of Chemical Engineering Indian Institute of Technology Bombay Mumbai India

A significant fraction of industrial MPC schemes employ linear prediction models. Closed loop performance of a linear model based MPC scheme can deteriorate over a period of time if the prediction model is not updated to account for the changing operating conditions. A possible remedy to this problem is on-line update of the model parameters under the closed loop conditions. An effective way of handling this problem is through dual control, which directs the plant output towards a reference setpoint and simultaneously injects probing signals into the plant to get information-rich data. In this work, an adaptive dual MPC scheme is developed for controlling MIMO systems based on output error models (OE) parameterized using generalized orthogonal basis filters (GOBF). A nominal model is initially developed using o-ine identification exercise. The Fourier coe¢cients of GOBF-OE models are then updated online using recursive least squares algorithm. Similar to Kumar et al. [2015], the MPC formulation is modified to include terms that are sensitive to the parameter covariance and are capable of injecting probing perturbations into the system as and when required. A distinguishing feature of the proposed work is the use of state space realizations of GOBF networks for model development and prediction. Simulation studies using the benchmark quadruple tank system (Johansson [2000]) reveal that the proposed approach provides su¢cient degrees of freedom to excite the plant in closed loop for generating information rich data for model parameter estimation. © 2017

关键词： Adaptive control Dual control MPC Orthogonal Basis Filters Predictive control Recursive Parameter Estimation

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Acoustic Source Tracking in Reverberant Environment Using A Novel PSO Particle Filter Framework

Acoustic Source Tracking in Reverberant Environment Using A ...

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Chinese Automation Congress (CAC)

作者： Jing Yang Xiuqin Shang Bin Hu Zhen Shen Gang Xiong Hui Wang College of Information Sciences and Technology Beijing University of Chemical Technology Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China The Cloud Computing Center Chinese Academy of Sciences Dongguan China

In this paper, several methods are combined together and applied to a Particle Filter based on Particle Swarm Optimization acoustic source tracking framework in order to solve some problems of sound source tracking. The Time Difference of Arrival (TDOA), which is extracted from the audio signal received by the microphone pair, makes observations. The Langevin Model is used to describe the speaker's motion characteristics. The pseudo-likelihood function is constructed by using the Global Coherence Field (GCF) function to update the particle weight, in order to solve problem of the phenomenon of spurious source due to noise and reverberation. According to the iterative process and particle flight conditions, the inertial weights of the particles are adjusted nonlinearly and dynamically. The concepts of superior flight speed and inferior flight speed are introduced to Particle Swarm Optimization, which helps jump out of local optimum and solves the problem of lack of particle diversity. Thus, the faster tracking of sound source is realized. In the framework, with fewer particles, the robustness of tracking is enhanced and accuracy of tracking is improved. Finally, the effectiveness of this framework for acoustic source tracking is verified through several Monte Carlo simulation experiments.

关键词： Microphones Particle filters Particle swarm optimization Tracking Coherence Reverberation

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An Optimal control Design of Organic Rankine Cycle under Disturbances

An Optimal Control Design of Organic Rankine Cycle under Dis...

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第37届中国控制会议

作者： Xialai Wu Lei Xie Junghui Chen Hongye Su Xiaochen Li State Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityYuquan Campus Department of Chemical Engineering Chung-Yuan Christian University

This paper deals with the control design of an Organic Rankine Cycle（ORC） considering the effect of the fluctuating heat source. A mechanistic nonlinear model of ORC is developed to predict the dynamic characters and an optimization problem of optimal control design is proposed to attain the optimal operating set-points and controller parameters simultaneously, which aims to maximize the waste heat recovery and guarantee the safe operation in the presence of disturbances. The performance comparison between optimal control design and conventional control design reflects the advantage of the optimal control design.

关键词： Organic Rankine Cycle control Design Dynamic simulation

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Enhanced control of a buck-boost DC-DC converter via a closed-form MPC reference governor scheme

Enhanced control of a buck-boost DC-DC converter via a close...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Christos Yfoulis Simira Papadopoulou Spyridon Voutetakis Chemical Process Engineering Research Institute (CPERI) Centre for Research & Technology - Hellas (CERTH) Thermi Thessaloniki Greece CERTH/CPERI Process Control in IEM/IHU C.P.E.R.I./CE.R.T.H. Laboratory of Process Systems Design and Implementation(PSDI) Thermi Thessaloniki Greece

This paper considers the problem of enhancing the performance of buck-boost DC-DC converters that are already regulated in voltage-mode by a typical PID type-III primary controller. This need may arise in situations where a commercial power converter is not easily replaceable. In these cases improved performance may be obtained with the addition of a secondary controller/prefilter in the form of a reference governor. Recent results in the literature have justified this policy for buck or boost converters. It has been shown that such a complementary scheme, which adjusts the imposed voltage reference signal dynamically, can offer significant performance enhancement in a wide operating range, and without imposing extra requirements or limitations. This work has applied similar concepts to the case of a buck-boost converter topology. An optimal design using a closed-form model predictive control (MPC) methodology is adopted, which is computationally tractable for digital microprocessor implementation. Moreover, contrary to the buck or boost case, the MPC reference governor policy has been found more flexible when applied to buck-boost converters, i.e. offering a better constraints handling ability. These findings are supported by extensive simulation results.

关键词： Observers DC-DC power converters Voltage control Optimization Standards Inductors State-space methods

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Interval type-2 fuzzy predictive modelling for a high shear granulation process

Interval type-2 fuzzy predictive modelling for a high shear ...

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Particle Technology Forum 2017 - Core Programming Area at the 2017 AIChE Annual Meeting

作者： Alalaween, Wafa H. Mahfouf, Mahdi Salman, Agba D. Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom Department of Chemical and Biological Engineering University of Sheffield United Kingdom

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Performance analysis of a photovoltaics aided coal-fired power plant

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Energy Procedia 2019年 158卷 1348-1353页

作者： Mingkun Jiang Yuexia Lv Tiankun Wang Zunqiang Sun Jianmin Liu Xinhai Yu Jinyue Yan Key Laboratory of Pressure Systems and Safety (MOE) School of Mechanical Engineering East China University of Science and Technology Shanghai 200237 China State Key Laboratory of Clean and Efficient Coal-fired Power Generation and Pollution Control Guodian Science and Technology Research Institute Nanjing 210023 China Applied Energy Innovation Institute Ningbo 315201 China School of Mechanical & Automotive Engineering Qilu University of Technology (Shandong Academy of Sciences) Jinan China China Energy Group Beijing 100011 China School of Business Society and Technology Mälardalen University Västerås Sweden School of Chemical Science and Engineering Royal Institute of Technology Stockholm Sweden

In this article, integration of photovoltaics (PV) into a coal-fired power plant was proposed. The performance including economic analysis and environmental impact was conducted by a case study in the northwest area of China. The results show that the PV system can replace part of auxiliary power consumption using renewable electricity to reduce internal power consumption and the emissions. Due to the feature of the integration into a power plant, the curtailment of solar PV electricity does not occur compared to stand-alone PV system. The investment cost, operation and maintenance (O&M) expenditure were feasible compared with other PV power generation plants.

关键词： photovoltaics coal-fired power plants auxiliary power consumption

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Stochastic stability of evolutionary prisoner's dilemma

Stochastic stability of evolutionary prisoner's dilemma

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Liang, Haili Zhou, Zhao Zhang, Fan Peng, Chen Wang, Yu-Long Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mathematics Southeast University Nanjing China

ISBN: (纸本)9781538666173

In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary prisoner's dilemma on regular graphs. If the benefit-to-cost ratio is larger than k + 2 (k is the degree of a regular graph), the networked game has a higher fraction of cooperators than that for a well-mixed population. Under certain conditions, the lower graph connectivity can lead to the emergence of more cooperators. Besides theoretical analysis, we demonstrate our results through numerical computations and simulations as well. © 2018 IEEE.

关键词： Stochastic systems

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Oxygen diffusion in a spherical cell subject to nonlinear Michaelis-Menten kinetics： Mathematical analysis by two exact methods

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International Journal of Biomathematics 2017年第2期10卷 171-186页

作者： Hooman Fatoorehchi Hossein Abolghasemi Laura Villafuerte Reza Zarghami Advanced Control Research LaboratorySchool of Chemical Engineering College of Engineering University of Tehran Tehran Iran Center for Separation Processes Modeling and Nano-Computations School of Chemical Engineering College of Engineering University of Tehran Tehran *** Iran Centro de Estudios en Fisica y Matemdticas Bdsicas y Aplicadas Universidad Autonoma de Chiapas Ciudad Universitaria Tuxtla Gutierrez Chiapas Mexico Multiphase Systems Research Laboratory School of Chemical Engineering College of Engineering University of Tehran Tehran Iran

A nonlinear model representing oxygen diffusion accompanied by the Michaelis-Menten consumption kinetics inside a spherical cell is solved analytically by the differential transform method （DTM） and the modified Adomian decomposition method （MADM）. A perfect agreement between the literature data and the results from the proposed

关键词： Cellular oxygen transfer mathematical modeling differential transformmethod modified Adomian decomposition method.

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Antifungal effects of BiOBr nanosheets carrying surfactant cetyltrimethylammonium bromide

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The Journal of Biomedical Research 2018年第5期32卷 380-388页

作者： Meiqing Sun Zhanlin Ding Hong Wang Guangping Yu Bingzhi Li Mingchun Li Mengmeng Zhen Key Laboratory of Systems Bioengineering (Ministry of Education) School of Chemical Engineering and Technology Tianjin University Tianjin 300072 China Wuqing District Center for Disease Control and Prevention Tianjin 301700 China Ministry of Education Key Laboratory of Molecular Microbiology and Technology College of Life Science Nankai University Tianjin 300071 China Tianjin Key Laboratory of Advanced Functional Porous Materials and Center for Electron Microscopy Institute for New Energy Materials & Low-Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300071 China

BiOBr nanosheets are important photocatalytic nanomaterials. However, their biological effects remain to be explored. In this study, we investigated the antifungal effect of BiOBr nanosheets on Candida albicans. Strikingly,the nanosheets strongly inhibited the growth of C. albicans [IC50=（96±4.7） mg/L],hyphal development and biofilm formation. Compareed to the antifungal effect of the cationic surfactant cetyltrimethylammonium bromide, the inhibitory effect of the nanosheets on fungal pathogen was attributed to cetyltrimethylammonium bromide adsorbed by the nanosheets. Thermal gravity analysis and cetyltrimethylammonium bromide release experiment indicated that only 0.42% cetyltrimethylammonium bromide on BiOBr nanosheets was released. Taken together, this study uncovers the contribution of surfactant released from the nanosheets to their antifungal activity.

关键词： BiOBr nanosheets Candida albicans antifungal activity cationic surfactant

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Interval zonotopic fault estimation for uncertain LPV descriptor systems

Interval zonotopic fault estimation for uncertain LPV descri...

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Conference on control and Fault-Tolerant systems (SysTol)

作者： Meng Zhou Chang Wang Zhengcai Cao Ye Wang Vicenç Puig College of Information Science & Technology Beijing University of Chemical Technology Beijing China Beijing Aerospace Automation Research Institute Beijing China College of Automation Harbin Engineering University Harbin China Advanced Control Systems Research Group at Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya-BarcelonaTech Barcelona Spain

ISBN: (纸本)9781728103815

This work investigates the issue of interval fault estimation based on a zonotopic technique for discrete-time LPV systems with peak bounded uncertainties. First, taking the faults as an auxiliary state vector, an augmented descriptor system is generated. Then, a robust observer considering L ∞ performance is designed for it. The design conditions of the observer are given it terms of LMIs. Next, the bounds of the augmented states estimation are generated based on zonotopes that rigorously consider the unknown disturbance bounds. Finally, simulation results illustrate the performance of the proposed interval fault estimation method.

关键词： Observers Uncertainty control systems Fault detection Electrical fault detection

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