The proper control of the ratio of ore to coke distribution(ROCD) can achieve energy saving of the blast furnace(BF).In order to achieve the desired ROCD,it is meaningful to search best charging system(especially the ...
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ISBN:
(纸本)9781479947249
The proper control of the ratio of ore to coke distribution(ROCD) can achieve energy saving of the blast furnace(BF).In order to achieve the desired ROCD,it is meaningful to search best charging system(especially the burden matrix).This paper deals with the problem of burden distribution control based on the adaptive genetic algorithm and multi-radar ***,the definition of the ratio of ore to coke(ROC) and the desired ROCD are ***,according to the desired ROCD,the concrete steps of searching the best burden matrices are presented based on the adaptive genetic ***,the operators of the adaptive genetic algorithm(especially the mutation operator) are properly adjusted,according to the actual production process of the bell-less ***,three computational experiments demonstrate the effectiveness of the method.
control performance monitoring has attracted great attention in both academia and industry over the past two ***,most research efforts have been devoted to the performance monitoring of linear control systems,without ...
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control performance monitoring has attracted great attention in both academia and industry over the past two ***,most research efforts have been devoted to the performance monitoring of linear control systems,without considering the pervasive nonlinearities(*** stiction)which present in most industrial control *** this work,a novel probability distribution distance based index is proposed to monitor the performance of non-linear control *** proposed method uses Hellinger distance to evaluate change of control system *** simulation examples are given to illustrate effectiveness of the proposed method.
The Pallet Grouping Problem (PGP) is defined as minimizing the number of pallets for placing all materials in a collection and distribution center. A key to solving the PGP is to tackle the Pallet Loading Problem (PLP...
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In this paper, the asymptotic stability analysis problem is considered for a class of stochastic Cohen-Grossberg neural networks with time-varying delays. We aim to construct easily verifiable conditions for the asymp...
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In this paper, the asymptotic stability analysis problem is considered for a class of stochastic Cohen-Grossberg neural networks with time-varying delays. We aim to construct easily verifiable conditions for the asymptotic stability in the mean square of the delayed neural networks. Via a Lyapunov functional and the Halanay inequality technique, several stability criteria are derived. Two examples are provided to illustrate the effectiveness and applicability of the proposed criteria.
This paper presents an algorithm for real time weld seam detection and feature extraction of butt weld, which is based on laser vision sensor installed on the end hand of welding robot. The algorithm preprocesses the ...
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This paper presents an algorithm for real time weld seam detection and feature extraction of butt weld, which is based on laser vision sensor installed on the end hand of welding robot. The algorithm preprocesses the weld seam images captured by laser vision sensor as first step and then detects laser stripe edges thus obtains the center of laser stripe. Then a two-step method is used to extract the initial value of center point of weld seam. Finally the weld region is separated from the laser stripe center line using iterative search method, then two edge points and accurate center point of weld region together with the width of weld seam can be calculated. Experiments have shown that the algorithm proposed in this paper has good stability and accuracy, and it can meet the real-time requirements.
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.
The system dynamic performance index indicates the control quantity of a control system. This paper proposes a proportional differential controller design method according to the system dynamic performance requirement...
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The system dynamic performance index indicates the control quantity of a control system. This paper proposes a proportional differential controller design method according to the system dynamic performance requirement. The proposed tuning method is used to the first-order plus delay time system. The simulation results show that the proposed method works effectively.
This paper proposes a novel method for incorporating wave domain prediction in a three-channel(3CH)architecture,which is the optimal architecture from a transparency point of view,to overcome the poor transparency pro...
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This paper proposes a novel method for incorporating wave domain prediction in a three-channel(3CH)architecture,which is the optimal architecture from a transparency point of view,to overcome the poor transparency problem of using the wave variable method in a time-delay teleoperation system.A 3CH teleoperation control architecture is established by selecting parameters of the 4CH architecture sensibly for the system without force sensor in the master *** communication channel is divided into a two-port model by combining force and velocity information reasonably to extend the wave variable method to a 3CH *** the I/O signal of the two-port model is transformed into wave variable.A predictor is added to the wave domain of the master side to further improve the transparency of the system,and a regulator is designed to ensure the passivity of the *** results show that the proposed method can guarantee stability and improve the transparency of the teleoperation system with time-delay.
This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control *** using a linear state transformation,the unknown control coefficients are ...
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ISBN:
(纸本)9781479900305
This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control *** using a linear state transformation,the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes *** employing the inputdriven observer,a novel adaptive neural network(NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' *** proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded.
A pulse-width-modulation (PWM) digital controller design method in aeration control, which can reduce the energy costs of the control procedure, is proposed for wastewater treatment process based on the ASM1 model. ...
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ISBN:
(纸本)9781467355339
A pulse-width-modulation (PWM) digital controller design method in aeration control, which can reduce the energy costs of the control procedure, is proposed for wastewater treatment process based on the ASM1 model. First, an optimal linearization technique is applied to the aeration nonlinear system for finding a local optimal linear model, which has the same dynamics of the original nonlinear system at the operating point of interest. Then, a discrete-time optimal control law in pulse-amplitude-modulated (PAM) form is designed using LQR method. The PWM digital control law is then converted, using the digital redesign technique, from the corresponding PAM control law for the purpose of engineering realization. Last, simulation results demonstrate the effectiveness of the proposed method and the whole energy consumption is also computed. It has been shown that compared with the conventional multi-set point on/off control and on/off control method, the proposed method can save more energy than other approaches.
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