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World Congress on Intelligent control and Automation (WCICA)

作者： Yu Ru Weimin Wu Hongye Su Jian Chu National Laboratory of Industrial Control Technology & Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

Due to the introduction of uncontrollable transitions in the supervisory control of discrete event systems modeled by controlled Petri nets, a disjunction of several linear inequalities is needed to express the admissible markings. In this paper, we propose a two level hierarchical control synthesis method to deal with this kind of OR logic constraints. In the method, the constraint function plays an important role not only in the construction of the low level monitor but also in the determination of the control policy. The obtained supervisor is maximally permissive and the online computation has the complexity of polynomial times. An example is used to illustrate the proposed synthesis algorithm.

关键词： control systems Discrete event systems Petri nets Monitoring Automatic control Intelligent control Automation Laboratories industrial control process control

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Simulation, sensitivity analysis and optimization of a continuous catalytic reforming process

Simulation, sensitivity analysis and optimization of a conti...

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World Congress on Intelligent control and Automation (WCICA)

作者： Weifeng Hou Yongyou Hu Hongye Su Jian Chu National Laboratory of Industrial Control Technology & Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

A simple kinetic scheme involving 17 lumps and 17 reactions was incorporated in a process model. This model then was used to predict temperature and reformate composition profiles of a commercial reforming process. The agreement between predicted and commercially observed results is very good. The key process variables affecting the reformer yields, such as liquid hourly space velocity (LHSV), the reformer inlet temperature (WAIT), molar hydrogen-to-oil ratio and reaction pressure, were analyzed in detail to guide the selections of naphtha feedstock and operating conditions. Lagrange-Marquardt method was used to solve the nonlinear programming problem with process constraints to optimize process and maximize plant profit. The optimized process variables can bring about 1 percent increase in aromatics yield in weight. The optimization result is approved to not be sensitive to the uncertainty of model parameters.

关键词： Analytical models Sensitivity analysis Kinetic theory Predictive models Temperature Petroleum Refining Petrochemicals Hydrocarbons Laboratories

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State feedback control of des on the finite forbidden state problem

State feedback control of des on the finite forbidden state ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Yu Ru Weirnin Wu Hongye Su Jian Chu National Laboratory of Industrial Control Technology & Institute of Advanced Process Control University of Zhejiang Hangzhou China

This paper addresses the state feedback control synthesis of discrete event systems on the forbidden state problem in which the forbidden states are finite, especially if they can not be expressed as linear inequality constraints using reported methods. The system is modelled by controlled Petri nets that ape bounded Petri nets or unbounded Petri nets with uncontrollable subnets satisfying the Reverse net Structurally Bounded Condition. Through the analysis of the reverse net, we obtain not only the weakly forbidden markings used to deal with uncontrollable transitions but also the maximally permissive state feedback control policy. Moreover, it is illustrated by an example in the reported literature that the method can be applied conveniently to a class of Petri nets whose uncontrollable subnets are Output Dominant Petri nets.

关键词： State feedback Petri nets Discrete event systems Computer aided manufacturing Roentgenium Laboratories industrial control process control Linear feedback control systems control system synthesis

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State feedback based deadlock-free supervisor synthesis for bounded Petri nets

State feedback based deadlock-free supervisor synthesis for ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Yu Ru Weimin Wu Hongye Su Jian Chu National Laboratory of Industrial Control Technology & Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780385675

This paper addresses the forbidden state problem in which the forbidden marking set can be a set of arbitrary markings, together with deadlock-free specification. The system is modelled by bounded Petri nets, which may contain uncontrollable transitions. Through efficient reverse net analysis, we obtain not only the weakly forbidden markings but also the state feedback control policy. Then we propose a deadlock processing algorithm to deal with deadlocks caused by control. Finally a deadlock-free supervisor expressed as a table is obtained.

关键词： State feedback System recovery Petri nets control systems Discrete event systems Computer aided manufacturing Laboratories industrial control process control Vehicle dynamics

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Computing a FWL stability measure for second order digital systems

Computing a FWL stability measure for second order digital s...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： J. Wu S. Chen J. Chu National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Department of Electronics and Computer Science University of Southampton Highfield Southampton UK National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Hangzhou China

The best measure quantifying FWL (finite word length) stability is the one that bases on the largest stable perturbation hypercube. But the computing of this FWL stability measure has not been solved. For second order digital systems, this paper develops an analytic computing method. Through solving 12 linear equations and 12 quadratic equations, the measure value can be obtained exactly.

关键词： Stability Digital systems control systems industrial control Laboratories process control Equations Digital filters Digital control Eigenvalues and eigenfunctions

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Fuzzy Neural Network for Predicting 4-CBA Concentration of PTA process

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IFAC Proceedings Volumes 2004年第1期37卷 743-748页

作者： Ruilan Liu YueXuan Wang Hongye Su Shengjing Mu Yongyou Hu Weiquan Chen Jian Chu National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zliejiang University Yuquan Campus Hangzhou 310027 P.R.China

A fuzzy neural network model has been developed to predict the 4-CBA concentration of the oxidation unit in PTA process. Several technologies are used to deal with the process data before modeling. Suitable input variables set has been selected according to prior knowledge, experience and fuzzy curve method. Dead time delay has been considered in the fuzzy neural network model. The simulation results show that the model of the fuzzy neural network is better than that of AMOCO in prediction precision.

关键词： Purified Terephthalic acid (PTA) 4-CBA Fuzzy Neural Network Fuzzy Curve Soft Sensor

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Analysis and Modeling of industrial Purified Terephthalic Acid Oxidation process

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IFAC Proceedings Volumes 2004年第1期37卷 725-730页

作者： Shengjing Mu Hongye Su Ruilan Liu Yong Gu Jian Chu National Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang University Yuquan Campus Hangzhou 310027 P.R. China

A mathematic model to predict the concentration of 4-carboxy-benzaldhyde (4-CBA) for an industrial Purified Terephthalic Acid (PTA) oxidation unit is built in this paper. The model is based on a mechanism model from the results of bench-scale laboratory experiment and chemical reaction principle, which is structured into two series ideal CSTR models. Six plant factors are designed to correct the deviation between the laboratory model and the industrial practice. For the existing of substantial time delays between process variables and quality variable, the weighted moving average method is applied to make each variable be in same time slice. The analysis of process data by projection on latent variables of Partial Least Square (PLS) and analysis of Hotel ling's T-squared statistic value of Principal Component Analysis (PCA) are gave to discriminate the operating data into normal operating part and load down and load up operating part. At the each operating part, the typical data are selected to regress the plant factors. The proposed model predictive result follows the tracks of the observed value quite well. Compared with the empirical Amoco model, the proposed model is regarded as to be more suitable to be applied to industrial online soft sensor.

关键词： Purified Terephthalic acid (PTA) process mechanism model plant factor Partial Least Square (PLS) Principal Component Analysis (PCA) time delay

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Fault diagnosis based on independent component analysis and Fisher discriminant analysis

Fault diagnosis based on independent component analysis and ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Li-Ying Jiang Shu-Qing Wang National Key Lab of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780384032

A large number of process variables are measured in a chemical process, but this process is usually driven by fewer essential variables, which may or may not be measured. The process fault diagnosis performance is improved by extracting such essential variables. A mixture method of fault diagnosis is proposed by using independent component analysis (ICA) and Fisher discriminant analysis (FDA). The major purpose of ICA is to find underlying components from the data under normal operating condition, so transformation matrix is found from the origin data space to the independent component space for extracting the essential variables. FDA model is constructed based on various known fault data that have been projected to the independent component space in order to diagnose faults. The performance of the proposed diagnosis method is tested using the Tennessee Eastman process. The results of fault diagnosis show that the proposed method outperforms other FDA-based diagnosis methods.

关键词： Independent component analysis Fault diagnosis Principal component analysis Data mining Chemical technology Fault detection Chemical analysis process control Chemical processes Monitoring

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Blending scheduling based on particle swarm optimization algorithm

Blending scheduling based on particle swarm optimization alg...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Xiaoqiang Zhao Gang Rong National Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou Zhejiang China

ISBN: (纸本)0780388194

Blending is an important unit operation in process industry. Blending scheduling is nonlinear optimization problem with constraints. It is difficult to obtain optimum solution by other general optimization methods. Particle swarm optimization (PSO) algorithm is developed for nonlinear optimization problems with both continuous and discrete variables. In order to obtain a global optimum solution quickly, PSO algorithm is applied to solve the problem of blending scheduling. The calculation results with an example of gasoline blending are satisfactory, which illustrates that the PSO algorithm is valid and effective for blending scheduling problem.

关键词： Particle swarm optimization Scheduling algorithm Job shop scheduling Petroleum industrial control Constraint optimization Chemical industry Laboratories process control Optimization methods

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LMI-based fuzzy control of uncertain nonlinear multi-time delays systems

LMI-based fuzzy control of uncertain nonlinear multi-time de...

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World Congress on Intelligent control and Automation (WCICA)

作者： Hai Huang Shuqing Wang National Key Laboratory of Industrial Control Technology Insfitute of Advanced Process Control University of Zhejiang Hangzhou Zhejiang China

ISBN: (纸本)0780382730

The stabilization problem and the design method of a parameterized controller for a class of uncertain nonlinear multi-time delays systems described in Takagi-Sugeno fuzzy models were concentrated on. The sufficient conditions for the existence of the stable fuzzy controller by state feedback were deduced in terms of Lyapunov stability theory. A convex optimization problem of multivariables was formulated by applying the LMI approach. The memoryless fuzzy controller was designed and the solving scheme for the parameters was also given. The results of numerical simulation show the effectiveness and applicability of the proposed method of the fuzzy controller.

关键词： Fuzzy control Delay systems Design methodology Nonlinear control systems Takagi-Sugeno model Fuzzy systems Sufficient conditions State feedback Lyapunov method Numerical simulation

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