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检索条件"机构=National Key Laboratory of Industrial Control TechnologyInstitute of Advanced Process Control"

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Neuron PID variable structure control

Neuron PID variable structure control

引用

IEEE Asia-Pacific Conference on Circuits and Systems

作者： Ning Wang Ping Ji National Key Laboratory of Industrial Control Technology Research Institute of Advanced Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780362535

By combining a neuron controller and a PID controller, the neuron PID variable structure control method is proposed for multi-model plants in this paper. Using the proposed method for the basis of weight control of a paper machine, the simulation results are given. It illustrates that the new control method has good performance, very strong robustness and adaptability.

关键词： Neurons Three-term control industrial control Automatic control Proportional control control systems Production Programmable control Adaptive control Hebbian theory

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Fuzzy neuron model-free control for continuous steel casting processes

Fuzzy neuron model-free control for continuous steel casting...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Wang Ning National Key Laboratory of Industrial Control Technology Research Institute of Advanced Process Control University of Zhejiang Hangzhou China

Based on a neuron model and a neuron control method, the fuzzy neuron model-free control method for the mold level control of continuous steel casting processes is proposed in this paper. The fuzzy algorithm is used to tune the neuron gain, and the nonlinear transfer is adopted to produce the neuron inputs. The simulation experiments with an example are made. This paper illustrates that this new model-free method has strong robustness, adaptability and satisfied performances.

关键词： Fuzzy control Neurons Steel Casting Level control Laboratories industrial control process control Robustness

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Neural control for underdamping plants

Neural control for underdamping plants

引用

American control Conference (ACC)

作者： Ning Wang Shuqing Wang Jianming Zhang National Key Laboratory of Industrial Control Technology Research Institute of Advanced Process Control University of Zhejiang Hangzhou China

By using a nonlinear element and adding the controller parameters to modify the neuron inputs, a neural model-free control method is proposed for underdamping plants. The simulation tests are made. The results demonstrate that this method can control underdamping plants efficiently. Selections of the controller parameters are not strict.

关键词： Neurons control systems industrial control Testing control system synthesis Programmable control Adaptive control Laboratories process control industrial plants

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A weighted band-wise identification method for multirate sampled-data systems based on wavelet multiresolution analysis

A weighted band-wise identification method for multirate sam...

引用

IEEE Asia-Pacific Conference on Circuits and Systems

作者： Lihua Lu Zhihuan Song Ping Li National Key Laboratory of Industrial Control Technology Institute of Industrial Process Control University of Zhejiang Hangzhou China

ISBN: (纸本)0780362535

Based on wavelet multiresolution analysis theory, this paper proposes a two-step identification method for multirate sampled-data systems. First the problem of multirate sampled-data consistent reconstruction is studied, then a new weighted band-wise identification method is proposed. This method has the advantages of noise-free, convenient modeling of the interesting band of plant precisely, and easy incorporation with system design. Simulation results are given to illustrate that this two-step identification method is effective and feasible in process modeling.

关键词： Frequency Sampling methods Wavelet analysis Multiresolution analysis Open loop systems industrial control control system synthesis System analysis and design Signal resolution Laboratories

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Optimal structure of FWL digital controller with pole sensitivity minimization

Optimal structure of FWL digital controller with pole sensit...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Xu Weihua Wu Jun Chu Jian National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Zhejiang University Hangzhou Zhejiang CN

This paper studies the optimal realizations of a finite-word-length (FWL) digital state-estimate feedback controller with closed-loop pole sensitivity minimization considerations. Through analysis it is shown that the... 详细信息

关键词： Optimal control Digital control Closed loop systems Eigenvalues and eigenfunctions control systems Coordinate measuring machines Q measurement

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Variable structure control for a class of fuzzy dynamics and its application to the design of autopilot for missile

Variable structure control for a class of fuzzy dynamics and...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Hu Jianbo Su Hongye Chu Jian National Key Laboratory of Industrial Control Technology Institute of Advanced Process Control University of Zhejiang Hangzhou China Zhejiang University Hangzhou Zhejiang CN

This paper presents the direct variable structure controller and fuzzy variable structure controller for a class of fuzzy dynamics. A linear parameter-varying (LPV) or nonlinear system is first represented by a fuzzy model, which consists of linear time-invariant systems at selected operation points. The variable structure control method is used to solve the controller design for each operation point and the direct variable structure controller for fuzzy system. The proposed methods were applied to the roll control channel in a missile where the plant was regarded as a LPV system, that is, the attitude and the velocity are variable. The simulation results show that the proposed controller performed well over the entire flight region.

关键词： Fuzzy control control systems Fuzzy systems Missiles Nonlinear control systems Nonlinear dynamical systems Nonlinear systems Aerospace control industrial control process control

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Neuron controller with adaptive regulated gain for paper machine

Neuron controller with adaptive regulated gain for paper mac...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Zhang Jianming Wang Shuqing Wang Ning National Key Laboratory of Industrial Control TechnologyResearch Institute of Advanced Process Control University of Zhejiang Hangzhou China Zhejiang University Hangzhou Zhejiang CN

The paper-making process is very complex, there exists long delay time, grievous nonlinearities and time-varying parameters. The paper presents a neuron model-free control method in which the neuron gain is regulated adaptively for the paper-making process. This procedure can control the process with long delay time and great range of open-loop gain variation efficiently. The simulation results for a complex paper machine is satisfying, good performances in robustness and adaptability are obtained.

关键词： Neurons Programmable control Adaptive control Paper making machines Open loop systems process control Delay effects control nonlinearities Laboratories industrial control

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The state space model and stability analysis of a neuron control system

The state space model and stability analysis of a neuron con...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Chen Jie Wang Ning Zhongxing Telecom Limited Shenzhen China National Key Laboratory of Industrial Control TechnologyResearch Institute of Advanced Process Control University of Zhejiang Hangzhou China

A state space model of a neuron control system is proposed and the stability analysis of the system is presented. For typical industrial plants, the relationship between controller parameters and system stability is studied. The method and results are helpful for understanding the mechanism of the neuron controller and its design for industrial applications.

关键词： State-space methods Stability analysis Neurons control system synthesis Telecommunication control industrial control Nonlinear control systems Laboratories Space technology process control

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The design of optimum neuron controllers

The design of optimum neuron controllers

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Chen Jie Wang Ning Zhongxing Telecom Limited Shenzhen China National Key Laboratory of Industrial Control Technology Research Institute of Advanced Process Control University of Zhejiang Hangzhou China

A method of obtaining optimum neuron controllers for minimization of the integral of time weight absolute error (ITAE) criteria and integral of the squared error (ISE) criteria is proposed in this paper. And the method is used to develop some tuning formulae for the first-order plants with delay time. The comparison simulation experiments between the optimum neuron controller and the PID controllers are made. The results show that the optimum neuron control has better performances and stronger robustness.

关键词： Neurons Telecommunication control Error correction control system synthesis Laboratories industrial control process control Minimization methods Delay effects Three-term control

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Direct adaptive fuzzy controller for hydraulic turbine generators

Direct adaptive fuzzy controller for hydraulic turbine gener...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jianming Zhang Shuqing Wang Research Institute of Advanced Process ControlNational Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

A novel direct adaptive fuzzy control approach is proposed for the hydraulic turbine generator with complex dynamic characteristics and uncertainties. Based on the simplified Takagi-Sugeno fuzzy inference rule and the associative learning strategy of neural network for tuning the connection weights, an equivalent fuzzy neural network is given. The controller based on this fuzzy neural network can realize the adaptive fuzzy control law without modeling the plant. A series simulation test for a hydraulic turbine generator show that the control method presented not only has a simple design procedure and strong robustness, but also achieves good performances of the hydraulic turbine generator under difference work condition.

关键词： Programmable control Adaptive control Fuzzy control Hydraulic turbines Fuzzy neural networks Character generation Uncertainty Takagi-Sugeno model Neural networks Testing

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