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Wavelet-based frequency band weighting approach to control-relevant process identification

Wavelet-based frequency band weighting approach to control-r...

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American control Conference (ACC)

作者： Wang Haiqing Song Zhihuan Li Ping National Laboratory of Industrial Control Technology Institute of Industrial Process Control University of Zhejiang Hangzhou China

control-relevant identification (CRID), which emphasizes efficiently processing experimental data in terms of control design requirements, shows great difference from conventional identification. In this paper, a wavelet-based frequency band weighting (FBW) approach to CRID is presented. First, the frequency aliasing problem resulting from wavelet decomposition is discussed, and modified wavelet decomposition algorithms are given to guarantee correct decomposition of experimental data into different frequency bands. Then, the FBW approach is used to integrate the control design objective into the identification procedure by weighting these frequency bands in an appropriate way. Simulation examples are provided to illustrate the procedure of using the proposed approach to build suitable process models for feedback control design.

关键词： Frequency Weight control process control control design industrial control Feedback control Robust control Uncertainty Power system modeling Wavelet analysis

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Optimal structure of FWL digital controller with pole sensitivity minimization

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

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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...

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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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A chaos scheme for secure communication based on neural network

A chaos scheme for secure communication based on neural netw...

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IEEE Asia-Pacific Conference on Circuits and Systems

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

ISBN: (纸本)0780362535

This paper presents a method for using chaos in the digital domain for secure communications. The method uses a well-trained multilayer neural network to generate the chaotic sequence whose randomness is excellent. The corresponding secure communication approach is also proposed. In the transmitter, the modulation is realized by adding the information signal to this chaotic sequence generated by neural network. In the receiver, the chaotic carrier is retrieved from the received signal by using an equivalent neural network, and then the information signal is recovered. The anti-decipher ability of this method is also analyzed. The computer experiments show that this method has the good immunity to interference and can be realized easily, and the chaotic secure communication system based on neural network is fine in security.

关键词： Chaotic communication Neural networks Multi-layer neural network Neurotransmitters Signal generators Information retrieval Computer networks Interference Communication system security Computer security

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The design of optimum neuron controllers

The design of optimum neuron controllers

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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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Globally stable robust tracking of uncertain systems via fuzzy integral sliding mode control

Globally stable robust tracking of uncertain systems via fuz...

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World Congress on Intelligent control and Automation (WCICA)

作者： Zhuang Kaiyu Su Hongye Chu Jian Zhang Keqin National Laboratory of Industrial Control Technology & Institute of Advanced Process Control Zhejiang University HangZhou China Zhejiang University Hangzhou Zhejiang CN

In this paper, a fuzzy integral sliding mode control (FISMC) is proposed to deal with three problems of the conventional sliding mode control: steady state error, robustness and unknown uncertainties during the reaching phase. The design procedure of FISMC controller consists of two steps: first choosing an integral sliding surface, instead of conventional sliding surface, then constructing a sliding mode controller with fuzzy logic control (FLC). It is shown that the global robustness and stability of closed-loop system can be guaranteed with the proposed control strategy. A step tracking control of a longitudinal motion for a helicopter near hover is investigated to show the effectiveness of the new method.

关键词： Robustness Uncertain systems Fuzzy systems Sliding mode control Robust control Robust stability Fuzzy control Steady-state Error correction Uncertainty

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Neuron controller with adaptive regulated gain for paper machine

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

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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...

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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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Digital finite-precision controller realizations with sparseness considerations

Digital finite-precision controller realizations with sparse...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jun Wu S. Chen Gang Li Jian Chu National Laboratory of Industrial Control Tech Institute of Advanced Process Control University of Zhejiang Hangzhou China The school of EEE Nanyang Technological University Singapore National Lab. of Industrial Control Tech. Institute of Advanced Process Control University of Zhejiang Hangzhou China

Presents a study on the finite word length (FWL) implementation of digital controller structures. The relevant FWL closed-loop stability related measures are investigated, and an algorithm is provided to search for the sparse controller realization that yields a computationally efficient structure with good FWL closed-loop stability performance. A numerical example is included to illustrate the proposed design procedure.

关键词： Digital control Stability control systems Error correction industrial control process control Educational institutions Aerospace industry Electrical equipment industry Particle measurements

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