Due to the increasing cost of energy and the demand of reducing the environmental footprints, energy saving is becoming an important subject in the industry operation. To realize the energy consumption optimization of...
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(纸本)9781467313971
Due to the increasing cost of energy and the demand of reducing the environmental footprints, energy saving is becoming an important subject in the industry operation. To realize the energy consumption optimization of papermaking, the energy model should be established while the product quality and process model also need to be constructed, which are taken as the constraints for optimization. This paper describes the identification of a forming section of paper machines with Multilayer Perception (MLP) Neural Networks. The process model, product quality model and energy consumption model are established for the energy saving in papermaking. The real industrial step tests are performed and the data are used to model training and validation. The models are validated by means of mean-squared error (MSE), fit measure and Akaike's Final Prediction Error (FPE). The results show the effectiveness of the established models, which are suitable for the next work of energy optimization.
This paper concerns the asynchronously switched control problem for a class of switched stochastic systems with time delays under an average dwell time (ADT) scheme. By further allowing the Lyapunov-Krasovskii functio...
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This paper concerns the asynchronously switched control problem for a class of switched stochastic systems with time delays under an average dwell time (ADT) scheme. By further allowing the Lyapunov-Krasovskii functional to increase during the running time of the active subsystem with the mismatched controller, the mean-square exponential stability condition for the resulting closed-loop system is .rstly derived. Then, the corresponding solvability condition for desired controllers is established. Finally, two numerical examples are exploited to show the validity and potential of the developed result.
Huaxiang Wang; Preface: The 7th International Symposium on MeasurementTechniques for Multiphase Flows, AIP Conference Proceedings, Volume 1428, Issue 1, 22 Marc
Huaxiang Wang; Preface: The 7th International Symposium on MeasurementTechniques for Multiphase Flows, AIP Conference Proceedings, Volume 1428, Issue 1, 22 Marc
Smith predictor is presented for monitor finishing automatic width control (M-FAWC) system to deal with the large transport time-delay. With the minimal settling time with a constraint, the optimal parameters of Smith...
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Smith predictor is presented for monitor finishing automatic width control (M-FAWC) system to deal with the large transport time-delay. With the minimal settling time with a constraint, the optimal parameters of Smith predictor are tuned based on the mutative scale chaos optimization method to meet high performance of strip width. The simulation results of the M-FAWC system show that the optimized Smith predictor has better dynamic performance than the conventional PID controller, and the chaos optimization algorithm is effective.
In recent years, quadrotor helicopter has become a hotspot of the research about unmanned aerial vehicles (UAVs). The data acquisition of the vehicle's attitude and position in real time is important to achieve au...
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In recent years, quadrotor helicopter has become a hotspot of the research about unmanned aerial vehicles (UAVs). The data acquisition of the vehicle's attitude and position in real time is important to achieve autonomous flight control for quadrotor UAVs. In this paper, an ARM embedded system is employed as the main controller, and an attitude heading reference system (AHRS) is utilized as the main onboard sensor. By using C++ programming under Linux operation system, the data acquisition and processing of the AHRS is implemented, and then the attitude and position data of the quadrotor UAV are obtained in real time to provide reliable flight state information for the autonomous flight control. The on-board flight data is sent to ground control system and stored via a communication module based on the UDP network protocol.
Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many industries. In order to achieve velocity profile measurements in single phase and multiphase f...
Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many industries. In order to achieve velocity profile measurements in single phase and multiphase flows with non-uniform velocity profiles, a novel Imaging Electromagnetic Flow meter (IEF) has been developed which is described in this paper. The novel electromagnetic flow meter uses a microcontroller as the processing core to achieve the function of driving the uniform magnetic field, acquiring voltage signals with electronic system, matrix inversion calculation and result display. The work undertaken in the paper demonstrates that an imaging electromagnetic flow meter for liquid velocity profile measurement is an instrument that is highly suited for control via a microcontroller.
Based on the simplified hypersonic air-breathing propulsion model, this paper studies the output regulation/ safety protection multi-objective switching control problem focusing on the safety boundaries existing durin...
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Based on the simplified hypersonic air-breathing propulsion model, this paper studies the output regulation/ safety protection multi-objective switching control problem focusing on the safety boundaries existing during the working progressing. Command switching strategy based on the safety margin is researched. In the safe region with a sufficiently large safety margin, the regulation loop is active and the regulated output is controlled to track the reference signal as quickly as possible. But the protected loop will be switched on and the protected output will be forced to escape from dangers once the safety boundaries approach. A dynamical state feedback controller and a protection controller work in turn in a hysteresis switching way to guarantee the asymptotic tracking with certain safety performance. The conditions under which the asymptotic tracking could be guaranteed are given and the control parameters could be calculated by solving optimal problems. It is pointed out in this paper that the designing of the regulation controller and the protection controller could be implemented separately, and the control parameters could be optimized to get certain optimal performance index using numerical method. Finally, simulation researches are performed to verify the effectiveness of the given methods, which also indicate that the commands switching control can improve both safety margin and the dynamical performance indices than the single controller.
The problem of reachable set estimation for linear systems subject to both time delay and polytopic uncertainties is considered in this paper. Our aim is to find a set as small as possible to bound the states starting...
The problem of reachable set estimation for linear systems subject to both time delay and polytopic uncertainties is considered in this paper. Our aim is to find a set as small as possible to bound the states starting from the origin by inputs with peak values. The Lyapunov-Krasovskii functional together with free-weighting matrix technique are proposed to derive some sufficient conditions for the existence of an ellipsoidal bound to estimate the states. This method eliminates the conservatism generated by Jensen's inequality and obtains a much tighter reachable set bound. In addition, the number of variables to be determined is smaller than the previous result based on the maximal Lyapunov functional. Finally, an example illustrates the merits of our proposed results.
A basic automation system of online hardening in a die steel plant is introduced. It is based on Siemens S7-400 PLC and WinCC. The design of hardware and software is water-oriented due to the fact that a die steel pre...
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A basic automation system of online hardening in a die steel plant is introduced. It is based on Siemens S7-400 PLC and WinCC. The design of hardware and software is water-oriented due to the fact that a die steel pre hardened is very sensitive to water consumption and ratio. The control of plunger valves, electric valves, roller speed, water pressure and spray distance is adopted to make water be steady and precise. The practice in reality shows the water control meets the design requirements and hardening results are superior quality.
Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of...
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Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of burden surface are taken as the training data of fuzzy neural network. The trained network will be used for the future clustering of the data. Considering the demand of energy-saving and consumption-decreasing, the method sets up the basic for the distribution control in the next step. The simulation results show the effectiveness of the proposed method.
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