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Design and control of a p-xylene oxidation process

Chinese Journal of Chemical Engineering 2015年第12期23卷 1935-1944页

作者：陶莉莉胡志华钱锋 College of Engineering Shanghai Second Polytechnic University Key laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The p-xylene(PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber.A steady-state model of the PX oxidation has been studied by many *** our previous work,a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been ***,the disturbances such as production rate change,feed composition variability and reactor temperature changes widely exist in the industry *** this paper,dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure,which was capable of effectively handling the disturbances in the load and the temperature of the *** responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work.

关键词： p-Xylene oxidation Dynamic simulation Aspen Dynamics Process design and control

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Sampled-data consensus of nonlinear multi-agent systems with stochastic disturbances

Sampled-data consensus of nonlinear multi-agent systems with...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Biao Zhang Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

ISBN: (纸本)9781479917631

This paper investigates consensus of nonlinear multi-agent systems with stochastic disturbances. By sampling signals from the leader agent at discrete instants, leader-following consensus in the mean square is achieved based on the theory of Ito stochastic differential equations and Lyapunov-Krasovskii functional stability theory with a sufficient condition derived. Then two special cases: 1) the transmittal delay is very small, which can be approximately regards as zero;2) the interconnections of agents are undirected are discussed, respectively. Finally, an example is given to verify the effectiveness of the theoretical results.

关键词： Sampled-data consensus Multi-agent systems Stochastic disturbances

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An Observer-based Model Predictive control Strategy for Distributed Parameter System ∗

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IFAC-PapersOnLine 2015年第8期48卷 883-887页

作者： Meng Ling Wang Hongbo Shi Wen Yang East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Professes of the Ministry of Eduction Shanghai China

In this paper, an observer-based model predictive control (MPC) strategy is presented for distributed parameter systems (DPSs). First, principal component analysis (PCA) is used for dimension reduction by transforming the high-dimensional spatio-temporal data into a low-dimensional time domain. Then an observer is builded to estimate the low-dimensional temporal output using the real-time measurable spatiotemporal output. Finally, the MPC strategy is proposed based on the low-dimensional estimation models. Simulations demonstrate the accuracy and efficiency of the proposed methodologies.

关键词： Distributed parameter system model predictive control PCA time/space separation observer

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Full Form Dynamic Linearization controller Based Data-driven Model Free Adaptive control

Full Form Dynamic Linearization Controller Based Data-driven...

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第27届中国控制与决策会议

作者： Yuanming Zhu Zhongsheng Hou Shangtai Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781479970186

This paper presents a data-driven model free adaptive control method based on full form dynamic linearization *** this framework,the controller structure is designed by the full form dynamic linearization technique on the ideal controller,and its parameters are online optimized using input and output data of the plant through the simple projection algorithm,where the accurate plant model is not *** effectiveness of the proposed method is verified by numerical simulations.

关键词： Dynamic Linearization,Data-driven,Model Free Adaptive control,Nonlinear System

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Data-driven Model Free Adaptive control for a Class of Interconnected Systems

Data-driven Model Free Adaptive Control for a Class of Inter...

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Asian control Conference

作者： Yuanming Zhu Feng Qian Zhongsheng Hou Shangtai Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781479978632

This paper recalls a novel data-driven model-free adaptive control (MFAC) method for a class of interconnected discrete-time nonlinear systems, whose model is unavailable and interactions between each subsystem are measurable. Then, under some mild conditions, stability of the closed-loop system is analyzed theoretically. Compared with original MFAC, the proposed MFAC for interconnected systems belongs to decentralized control method, and makes full use of the interacted data to achieve better performance. The effectiveness and superiority are verified by simulation result.

关键词： Data-driven control Model Free Adaptive control Interconnected System

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Modeling and optimization of feedstock allocation problem based on industrial cracking furnace system using an asynchronous updating differential evolution algorithm

Modeling and Optimization of feedstock allocation problem ba...

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第26届中国过程控制会议（CPCC2015）

作者： Lin Yue Feng Du WenLi Li JinLong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper introduces a practical optimization model of multiple cracking furnaces system with consideration of feedstock allocation. The goal of our work is to model this problem and to find the best allocation combination of feedstock to the cracking furnaces to maximize the profit of high-added-value production. Using artificial neural network(ANN) technique, the model can be formulated as a binary-integer nonlinear programming model. However, owing to the existence of integer variables and equality constraints, it's hard to be solved by traditional evolutionary ***, an asynchronous updating differential algorithm(AUDE) is proposed in this paper to better handle discrete variables. Finally, to test the effectiveness and robustness of the proposed algorithm, simulation results on benchmark problems and practical application case shows that the proposed algorithm is robust and capable of getting satisfactory optimization results when compared with the state-of-the art evolution algorithm.

关键词： Differential evolution feedstock allocation ethylene cracking furnace modeling asynchronous updating

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Batch Process Monitoring with Higher Order Partial Least Squares

Batch Process Monitoring with Higher Order Partial Least Squ...

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第26届中国过程控制会议（CPCC2015）

作者： Nan Nan Jianping Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Batch process data are essentially *** existing methods on batch process monitoring such as multiway partial least squares(MPLS)and multiway principal component analysis(MPCA)are based on unfolding procedure which represents three-way batch data as a vector in high-dimensional *** a result of destroying data structures,these methods may lead to information *** this article,batch data are considered as a third order tensor and HOPLS is introduced to deal with the data directly instead of performing unfolding procedure.A HOPLS-based online monitoring approach is developed and two new statistics:HO-SPE and HO-T2are constructed for fault detection and *** effectiveness of this approach is illustrated by a benchmark fed-batch penicillin fermentation *** comparison of monitoring results shows that the proposed approach is superior to MPLS,and it can achieve accurate detection of various types of process faults occurring in the batch operation.

关键词： higher order partial least squares multiway partial least squares batch process monitoring fault detection and diagnosis

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

Robust Optimization for a Multi-Product Integrated Problem o...

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作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty,Robust optimization,Integrated Problem of Planning and Scheduling,GA

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SSVEP Recognition using Multivariate Linear Regression for Brain Computer Interface

SSVEP Recognition using Multivariate Linear Regression for B...

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2015 IEEE International Conference on Computer and Communications(ICCC 2015)

作者： Haiqiang Wang Yu Zhang Jing Jin Xingyu Wang The Key Laboratory for Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Until now, the canonical correlation analysis(CCA)-based method has been most widely applied to steady-state visual evoked potential(SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram(EEG). In this study, we use principal component analysis(PCA) to extract EEG features multivariate linear regression(MLR) is implemented on EEG and the specific sample labels. Experimental results show that the proposed MLR method outperformed other two competing methods for SSVEP recognition, especially in short time window.

关键词： Brain-Computer Interface(BCI) Canonical Correlation Analysis(CCA) Electroencephalogram(EEG) Steady-State Visual Evoked Potential(SSVEP) principal component analysis(PCA) Multivariate Linear Regression(MLR)

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A Study on SVM Based on the Weighted Elitist Teaching-Learning-Based optimization and Application in the Fault Diagnosis of Chemical Process

A Study on SVM Based on the Weighted Elitist Teaching-Learni...

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The 2015 2nd International Conference on Engineering Technology and Application

作者： Junxiang Cao Jianxu Luo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

Teaching-Learning-Based optimization(TLBO) is a new swarm intelligence optimization algorithm that simulates the class learning *** to such problems of the traditional TLBO as low optimizing efficiency and poor stability,this paper proposes an improved TLBO algorithm mainly by introducing the elite thought in TLBO and adopting different inertia weight decreasing strategies for elite and ordinary individuals of the teacher stage and the student *** this paper,the validity of the improved TLBO is verified by the optimizations of several typical test functions and the SVM optimized by the weighted elitist TLBO is used in the diagnosis and classification of common failure data of tie TE chemical *** with the SVM combining other traditional optimizing methods,the SVM optimized by the weighted elitist TLBO has a certain improvement in the accuracy of fault diagnosis and classification.

关键词： TLBO algorithm support vector machine fault diagnosis TE chemical process

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