A nonlinear self-excited vibration model of main drive system in cold rolling is established. The mechanism of torsional vibration in main drive system stability is discussed within multiple scale method as well as Ho...
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A nonlinear self-excited vibration model of main drive system in cold rolling is established. The mechanism of torsional vibration in main drive system stability is discussed within multiple scale method as well as Hopf bifurcation theorem. Then, the periodic solutions and condition of Hopf bifurcation are derived and the influence by subcritical/supercritical bifurcation is analyzed. Based on the simulation experiments with actual industrial data, the previous theoretical analysis and nonlinear model have been testified.
PFC (Predictive Functional control) is a simple but very effective SISO (Single-Input Single- Output) predictive controller which does not require any matrix inversion or numerical minimization of a cost function, the...
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PFC (Predictive Functional control) is a simple but very effective SISO (Single-Input Single- Output) predictive controller which does not require any matrix inversion or numerical minimization of a cost function, therefore it is easy to realize in a PLCs (Programmable Logical controllers) or a DCS (Decentralized control Systems). The manipulated variable and/or its increment, as well other variables can be constrained easier than when using PI(D) (Proportional, Integrating, and Derivating) controller. Furthermore PFC handles the dead time process better than with PI(D) controller. Three industrial applications of PFC for two distillation columns and a reactor in a petro-chemical plant were implemented and the experiences are presented here.
Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performa...
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ISBN:
(纸本)9781479947249
Based on the adaptive dynamic programming(ADP) algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this *** tracking error is rst de ned,and then the performance index function which is about the tracking error is *** transformation,the complex-valued tracking error system is mapped into *** optimal control method for the tracking error system is *** two neural networks are used to be as the critic network and action network,*** is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov ***,the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.
Electrical tomography is widely used in industrial process and clinical science because of its characteristics of fast response and continuous monitoring. Image reconstruction algorithms are proposed and developed to ...
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ISBN:
(纸本)9781479907571
Electrical tomography is widely used in industrial process and clinical science because of its characteristics of fast response and continuous monitoring. Image reconstruction algorithms are proposed and developed to improve the quality of reconstructed image. In the continuous monitoring, the size of object is always changing, so it is important to compare imaging ability of different algorithms for different size of object. In this paper, circle models and square models of different size object are established. Through the analysis of image error and correlation coefficient, ten image reconstruction algorithms are evaluated detailed.
In this paper,the problem of finite-time control for a class of uncertain Markovian jump systems subject to disturbance and input constraint is *** system to be considered is more general where only partial informatio...
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ISBN:
(纸本)9781479900305
In this paper,the problem of finite-time control for a class of uncertain Markovian jump systems subject to disturbance and input constraint is *** system to be considered is more general where only partial information of transition probabilities is *** practical systems,the amplitude that can be made to the manipulated variables is always limited. Therefore,a control algorithm should be considered in this situation.A sufficient condition is established to ensure that the state trajectory remains in a bounded region of the state space in mean square sense over a fixed time *** on it, the corresponding finite-time stochastic stabilization criterion is proposed by considering the input constraint simultaneously. Numerical examples are given to show the validity of the proposed methods.
The measurement of solid phase particles concentration is one of the key parameters of gas-solid two-phase flow detection. This paper studies the method which is solid phase particles concentration of gas-solid two-ph...
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ISBN:
(纸本)9781479907571
The measurement of solid phase particles concentration is one of the key parameters of gas-solid two-phase flow detection. This paper studies the method which is solid phase particles concentration of gas-solid two-phase flow detection based on the annular electrode electrostatic sensors. On the basis of existing annular electrode electrostatic sensors, through the method of experiment and derivation, the correlative relationship between electrostatic signal fluctuation and solid phase particles concentration is verified. Further analysis shows that using the standard deviation of electrostatic signal detecting solid phase particles relative concentration is feasible.
This paper considers the quantized feedback control for Markov jump linear systems with incomplete transition probabilities where the effect of current mode observation logarithmic quantizer is counted for. A sufficie...
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ISBN:
(纸本)9781467355339
This paper considers the quantized feedback control for Markov jump linear systems with incomplete transition probabilities where the effect of current mode observation logarithmic quantizer is counted for. A sufficient condition is proposed in the framework of linear matrix inequalities. Therefore, the coarsest quantization density can be obtained using an optimization problem with convex constraints. A numerical example illustrates the effectiveness of proposed scheme.
A novel sensor with a probe based on vibration detection is designed in this paper. The probe is inserted into the pipe and the vibration of the probe relates to the parameters of gas-solid two-phase flow. The experim...
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ISBN:
(纸本)9781479907571
A novel sensor with a probe based on vibration detection is designed in this paper. The probe is inserted into the pipe and the vibration of the probe relates to the parameters of gas-solid two-phase flow. The experiments indicate that the characteristic frequencies of signals are only decided by the structure. While different sizes and velocity of the particle cause the differences in the amplitudes of the dominant frequency.
This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe th...
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ISBN:
(纸本)9781479947249
This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction.
This paper is concerned with identification of nonlinear systems with a noisy scheduling variable, and the measurement of the system has an unknown time delay. Auto regressive exogenous (ARX) models are selected as th...
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This paper is concerned with identification of nonlinear systems with a noisy scheduling variable, and the measurement of the system has an unknown time delay. Auto regressive exogenous (ARX) models are selected as the local models, and multiple local models are identified along the process operating points. The dynamics of a nonlinear system are represented by associating a normalized exponential function with each of the ARX models; therein, the normalized exponential function is acted as the probability density function. The parameters of the ARX models and the exponential functions as well as the unknown time delay are estimated simultaneously under the expectation maximization (EM) algorithm using the retarded input-output data. A CSTR example is given to verify the proposed identification approach.
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