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.
Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many *** order to achieve velocity profile measurements in single phase and multiphase flows with n...
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Electromagnetic flow meters based on the principles of Faraday's laws of induction have been used successfully in many *** 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 *** 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 *** 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.
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all t...
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ISBN:
(纸本)9781467320658
The problem of reachable set bounding for a class of linear systems subject to both discrete and distributed delays is addressed in this paper. First, a new criterion is derived to give an ellipsoid which bounds all the states starting from the origin by inputs with peak-values. The constraint with a special structure that appeared in our previous result is removed by combining the Jensen integral inequality and the reciprocally convex approach. In addition, the obtained condition brings a tighter reachable set estimation with lower computational complexity. We also extend the above result to systems with polytopic uncertainties. Finally, an example is presented to illustrate the merit of our proposed method.
In the process of tire production, vulcanization process is the last process and core process in the total production. The vulcanization process becomes the main bottleneck of the whole tire production process because...
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In the process of tire production, vulcanization process is the last process and core process in the total production. The vulcanization process becomes the main bottleneck of the whole tire production process because of the process’s long manufacture time, manufacture centralizing, energy sources large consume. Its plan quality is the key function of improving the utilization of vulcanization equipments and reducing the production cost. Production planning simulating system for vulcanization process based on heuristic algorithm was developed on the basis of studying planning strategy. The system integrates production planning, adjusting production starting time, adjusting the number of devices, inserting orders and withdrawing orders. The software system was tested by online data. Results show that the planning method can quickly workout the optimal production planning of vulcanization. The method will lay the firm groundwork for application to production process in the future.
作者:
Jie DongZhen QinJie Dong
is with School of Automation & Electrical Engineering University of Science and Technology Beijing and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Zhen Qin
was with School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China
The main difference between visual servo control and computer vision is the requirement of real-time control, which is often higher for the former. Considering the image-based visual control system, camera is included...
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The main difference between visual servo control and computer vision is the requirement of real-time control, which is often higher for the former. Considering the image-based visual control system, camera is included in the closed loop, so the precision is not sensitive to the error of camera parameters. A camera self-calibration method based on a single rectangle is proposed in the paper according to the fact that visual servo system emphasizes real-time property over accuracy for camera models. The image information of the four rectangular vertexes is obtained by the method based on the corner detection in curvature scale space, according to the geometric relationship constructing constraint equations to calibrate camera intrinsic parameters. The advantages of this method are its linear calculation and simple calibrating procedure, avoiding the complex problems of non-linear optimization. The feasibility of this method is shown through simulation and practicality experiments. Regardless of the lower robustness of the proposed method comparing to traditional calibration methods, it is more adaptable to visual servo control system due to its excellent real-time property.
In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial m...
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In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.
The more unambiguous statement of the P versus NP problem and the judgement of its hardness, are the key ways to find the full proof of the P versus NP problem. There are two sub-problems in the P versus NP problem. T...
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The more unambiguous statement of the P versus NP problem and the judgement of its hardness, are the key ways to find the full proof of the P versus NP problem. There are two sub-problems in the P versus NP problem. The first is the classifications of different mathematical problems (languages), and the second is the distinction between a non-deterministic Turing machine (NTM) and a deterministic Turing machine (DTM). The process of an NTM can be a power set of the corresponding DTM, which proves that the states of an NTM can be a power set of the corresponding DTM. If combining this viewpoint with Cantor's theorem, it is shown that an NTM is not equipotent to a DTM. This means that "generating the power set P(A) of a set A" is a non-canonical example to support that P is not equal to NP.
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