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The application of directional wavelets in multiscale representation of pulp fibre image

The application of directional wavelets in multiscale repres...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Bei-Ping Hou Wen Zhu National Lab of Industrial Control Technology Zhejiang University Hangzhou China Department of Information and electricity engineering Zhejiang University of science and technology Hangzhou China

ISBN: (纸本)0780384032

This work proposes a novel algorithm to decompose fibre image and extract its edge characteristics. Because the characteristics of the paper fibre such as length and width play an important role in papermaking industry, so how to measure its related characteristics is important to improve the paper quality and production. An online fibre analyzer is designed based on the computer vision theory, and the distribution structure of the online fibres on image presents the multi-directional properties, so the multi-direction and multi-scale algorithm is proposed, and the directional wavelet transform is applied to the analysis of fibre image. Our analysis shows that directional wavelet transform can better reflect the edge information of images, because direction and texture information of fibre image can be better expressed. The experiment proves that the directional characterizations of fibre image can be extracted effectively.

关键词： Optical fiber theory Image analysis Algorithm design and analysis Wavelet analysis Wavelet transforms Pulp and paper industry Length measurement Production Computer vision Image texture analysis

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Optimization design based on PSO algorithm for PID controller

Optimization design based on PSO algorithm for PID controlle...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yijian Liu Jianming Zhang Shuqing Wang Department of Control science and Engineering Nanjing Normal University Nanjing China National Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Zhejiang University Hangzhou Zhejiang CN Nat. Lab. of Ind. Control Technol. Zhejiang Univ. Hangzhou China

ISBN: (纸本)0780382730

The particle swarm optimization (PSO) algorithm for parameter optimization of PID controller has been proposed. PSO is an evolutionary algorithm, and comprises of a very simple concept. Instead of using traditional analysis algorithm, the parameters of PID controller such as proportional gain, integral factor, differential coefficient are selected and optimized by PSO. The effectiveness of the proposed optimization algorithm is tested by simulation experiments in the common one-order and two-order industrial models. The simulation shows excellent results in terms of response time and output overshoot for a step reference. The PSO approach provides an attractive method to design the parameters of a PID controller.

关键词： Design optimization Algorithm design and analysis Three-term control Particle swarm optimization Evolutionary computation Pi control Proportional control Testing Delay Design methodology

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Implementation of advanced control for a heat-integrated distillation column system

Implementation of advanced control for a heat-integrated dis...

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Annual Conference of Industrial Electronics Society

作者： Xuemei Zhu Weirong Hong Shuqing Wang Department of Control Science and Engineering Information and Control Engineering Technology Research Centre Nanjing Normal University Nanjing China National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780387309

Unlike steady-state optimization and linear model predictive control, dynamic optimization and nonlinear model predictive control is underway to industry application. This paper discusses the implementation issues of two-level control strategy integrated dynamic real-time optimization and nonlinear model predictive control of a heat-integrated distillation column system. To realize this scheme, four nonlinear programming problems: economic operation optimization, data reconciliation and state estimation, parameter estimation and nonlinear model predictive control, are considered based on system rigorous dynamic model. The economic operation optimization is to minimize the cost of the plant. The unmeasured states are estimated by measurements of temperatures, pressures and flow rates. Time-variant parameters such as tray efficiencies and feed composition are updated on-line. The sequential quadratic programming and orthogonal collocation are used to solve the dynamic nonlinear optimization problems.

关键词： Temperature control control systems Distillation equipment Predictive models Predictive control Nonlinear dynamical systems Dynamic programming Economic forecasting State estimation Temperature measurement

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Development of soft sensor system via dynamic optimization

Development of soft sensor system via dynamic optimization

引用

Annual Conference of Industrial Electronics Society

作者： Xuemei Zhu Shuqing Wang National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Department of Control Science and Engineering Information and Control Engineering Technology Research Centre Nanjing Normal University Nanjing China

ISBN: (纸本)0780387309

In chemical process industry, some variables are difficult to measure on-line due to the limitation of measurement techniques, reliability or high cost to install a hard sensor. Some measurable variables, such as product quality, cannot be used for real-time optimization and control due to the large time delay. The soft-sensing of these variables is considered as an efficient method, and remains as an open problem. A new soft sensor system is developed to solve these problems in this work, which is based on rigorous model by using dynamic optimization to minimize the bias square between the model outputs and the measured outputs. Compared with other soft sensor systems, the proposed soft sensor system accurately employs the nonlinear model and considers the constraints in the optimization. It not only is more efficient in economic but also can be used on-line for real-time optimisation and control. The soft sensor system is successfully applied to estimation of the feed composition of a pilot heat-integrated distillation column system.

关键词： Sensor systems Chemical processes Chemical industry Electrical equipment industry Measurement techniques Costs Chemical sensors Time measurement Delay effects Nonlinear dynamical systems

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Soft sensor based on least square support vector machines for microbiological fermentation

Soft sensor based on least square support vector machines fo...

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World Congress on Intelligent control and Automation (WCICA)

作者： Juanying Qin Zonghai Sun Automation College Wuhan University of Science and Engineering Wuhan China National Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

Microbiological fermentation is a kind of complicated batch process that is severely nonlinear and time variant. There are many process parameters need to monitor and control in order to make the microbiological fermentation process to succeed. So it is important to measure the process variables. But the instrumentation and sensors available for fermentation control do not cover all the desirable or necessary measurements. In fermentation processes, many important internal variables can't be measured. So soft sensor has become an indispensable method measure internal variables in fermentation processes. In this paper, we propose a new method of soft sensor constructed with least square support vector machine (LS-SVM) for microbiological fermentation. This method was compared with neural network in the experiment of soft sensor construction. Experiment results demonstrate this method of construction soft sensor in microbiological fermentation is very valid.

关键词： Least squares methods Support vector machines Sun Automation Educational institutions Laboratories Industrial control Condition monitoring Instruments Neural networks

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Tuning of neural networks based on genetic algorithm and statistical learning theory

Tuning of neural networks based on genetic algorithm and sta...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： En-Hui Zheng Min Yang National Laboratory of Industrial Control Technology Institute of Industrial Process Control College of Information Science and Engineering University of Zhejiang Hangzhou China Software School Hangzhou University of Electronic Science and Technology Hangzhou China

ISBN: (纸本)0780384032

Based on the statistical learning theory and support vector machines, a novel fitness function is constructed according to the structural risk minimization principle. Then, a new hybrid genetic process is presented and implemented in real coding. This new hybrid genetic process is used to optimize neural networks, and a classification task is taken for an example to examine the performance of the new hybrid genetic algorithm. The simulation results are compared with those obtained from the neural networks trained by the previous genetic algorithm. The hybrid genetic algorithm based on the statistical learning theory proposed in this paper shows better generalization ability in testing sample set.

关键词： Neural networks Genetic algorithms Statistical learning Biological neural networks Support vector machines Convergence Machine learning Industrial control Risk management Support vector machine classification

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Analysis of discrete time competitive-cooperative neural networks

Analysis of discrete time competitive-cooperative neural net...

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World Congress on Intelligent control and Automation (WCICA)

作者： Tianguang Chu Cishen Zhang Zhaolin Wang Jun Wu Department of Mechanics and Engineering Science Peking University Beijing China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Department of Engineering Mechanics Tsinghua University Beijing China Department of Control Science and Engineering University of Zhejiang Hangzhou China

ISBN: (纸本)0780382730

Discrete time competitive-cooperative neural networks are investigated using a decomposition approach that embeds a competitive-cooperative neural network into an augmented cooperative system by splitting the synaptic weights into inhibitory and excitatory groups. This allows for the use of the basic order-preserving property of cooperative systems to study the original network system. Properties such as quasi-ordering, positive invariance, dissipativity, convergence, and stability of the networks are analyzed, yielding detailed characterization of the system trajectory bounds and decay rates. A simple yet effective procedure is also proposed for the design of a network with prescribed equilibria and guaranteed basin of attraction and decay rate.

关键词： Neural networks Biological neural networks Convergence Cooperative systems Electronic mail Stability analysis Delay estimation Brain modeling Lyapunov method Research and development

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Research on reconfigurable manufacturing execution system

Research on reconfigurable manufacturing execution system

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IEEE International Conference on Mechatronics and Automation

作者： Li Bo Chen Zhenghang Chen Ying School of Electro-Mechanical Engineering University of Electronic Science and Technology Chengdu China The State Key Laboratory of Fluid Power Transmission and Control University of Zhejiang Hangzhou China

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control of discrete-time chaotic systems using one-step-ahead adaptive fuzzy controller

Control of discrete-time chaotic systems using one-step-ahea...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Feng Wan Huilan Shang Li-Xin Wang School of Engineering Laurentian University Greater Sudbury ONT Canada Department of Control University of Zhejiang Hangzhou China Department of Electrical & Electrical Engineering Hong Kong University of Science and Technology Hong Kong China

ISBN: (纸本)0780383532

This paper discusses chaos control in discrete-time nonlinear systems using one-step-ahead adaptive fuzzy controller. The chaotic system in a general form is modeled by a Mamdani type fuzzy system with parameters tuned on-line using system input-output data by the least square algorithm with deadzone. Based on this fuzzy model, a one-step-ahead controller is designed to minimize the error between the desired and the real system outputs. Performance analysis and simulation results in control of the Sin and Lozi systems are given to show the effectiveness of the scheme.

关键词： control systems Chaos Adaptive systems Programmable control Adaptive control Fuzzy control Fuzzy systems Nonlinear control systems Nonlinear systems Least squares methods

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Neutralization process control using an adaptive fuzzy controller

Neutralization process control using an adaptive fuzzy contr...

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American control Conference (ACC)

作者： Feng Wan Huilan Shang Li-Xin Wang You-Xian Sun School of Engineering Laurentian University Greater Sudbury ONT Canada The Institute of Industrial Process Control University of Zhejiang Hangzhou China Department of Elec & Electrical Engineering Hong Kong University of Science and Technology Hong Kong China

controlling of neutralization processes is a classical problem beyond many common control techniques available today due to their strong nonlinearity and extreme sensitivity to disturbances. This paper proposes an adaptive fuzzy control scheme for wastewater neutralization process control. A standard Mamdani type fuzzy system is constructed to describe the nonlinearity of the process and the parameters in the fuzzy system are tuned online using the least square algorithm with deadzone. The controller is designed based on the fuzzy model and the control action is computed by exploiting the special features of the fuzzy system. Simulation results are given in control of the acidity in the continuous flow of an industrial wastewater treatment system.

关键词： Process control Programmable control Adaptive control Fuzzy control Fuzzy systems Wastewater Least squares methods Computational modeling Electrical equipment industry Industrial control

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