In this paper, the anti-windup compensator design using event-triggered strategy for linear systems subject to actuator saturation is investigated. Different from the existing result with prescribed anti-windup compen...
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In this paper, the anti-windup compensator design using event-triggered strategy for linear systems subject to actuator saturation is investigated. Different from the existing result with prescribed anti-windup compensator gain, the main contribution of this paper is that a sufficient condition is presented for anti-windup compensation with event-triggered control and an iterative algorithm is formulated to obtain the anti-windup gain. Moreover, an event-triggering condition involving an exponential term is introduced in order to avoid Zeno behavior when using output feedback control. Numerical example is given to show the validity of the proposed method and the trade-off between the size of the domain of attraction and communication resources saving.
The goal of this paper is to improve the performance of permanent magnet synchronous motor(PMSM) servo system by identification of the inertia parameter and auto-tuning of PI parameters. The method relies on the speed...
The goal of this paper is to improve the performance of permanent magnet synchronous motor(PMSM) servo system by identification of the inertia parameter and auto-tuning of PI parameters. The method relies on the speed acceleration and deceleration response produced by speed ramp signals applied to a speed-controlled servo. The proposed method relies on simple numerical calculations, thus make the proposed scheme more practical. After the knowledge of the inertia parameter, the tuning of the speed control loop can be performed. The experimental results verified that the proposed identification scheme can estimate inertia parameters accurately and effectively and the control system tuned can achieve good dynamic performance.
For the velocity measurement of oil-water two-phase flow in horizontal pipeline, a measuring method based on ultrasonic cross-correlation technique is introduced. Two pairs of ultrasonic probes are installed in the up...
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ISBN:
(纸本)9781509009107
For the velocity measurement of oil-water two-phase flow in horizontal pipeline, a measuring method based on ultrasonic cross-correlation technique is introduced. Two pairs of ultrasonic probes are installed in the upstream and downstream within a certain distance to obtain the flow signal of two-phase flow. The flow velocity is calculated by the cross-correlation method, and the influence of flow patterns and phase distribution are taken into consideration. By combining the cross-correlation algorithm, drift-flux model and kinematic wave theory, the overall superficial velocity measurement model is established. The parameters of this model were calculated in different flow state. The experimental results show that the flow velocity calculated by this model is in good agreement with the actual flow velocity. The relative error is less than ±5%.
The magnetic torque model of the permanent magnet spherical motor is established by analyzing the finite element model of it in this paper. Then a support vector machine (SVM) model for the permanent magnet spherical ...
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ISBN:
(纸本)9781467386456
The magnetic torque model of the permanent magnet spherical motor is established by analyzing the finite element model of it in this paper. Then a support vector machine (SVM) model for the permanent magnet spherical motor is established based on machine learning algorithm. Finally, the optimal parameters of the permanent magnet spherical motor are calculated by using the simulated annealing algorithm and the SVM model which are validated by using the finite element method.
The objective of this work is to investigate the influence of slotted air gap constructive parameters on magnetic flux density of rotating machines. For this purpose, different approaches were used to solve the air ga...
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Dynamic game theory has received considerable attention as a promising technique for formulating control actions for agents in an extended complex enterprise that involves an adversary. At each decision making step, e...
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This paper introduces software for a monitoring system of the industrial furnace based on the c# language. Server and client interfaces are implied on the Windows's. Form class. The communication between the serve...
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ISBN:
(纸本)9781467386456
This paper introduces software for a monitoring system of the industrial furnace based on the c# language. Server and client interfaces are implied on the Windows's. Form class. The communication between the server and the client is realized though the socket class, which is included in the .NET class library. Most of the commonly useful information can be demonstrated in our system, such as gas concentration line charts, video monitoring data, the temperature pseudo-color figure, and so on. The gas concentration data value is stored in the database. Finally, a friendly man-machine interface which is able to collect, display, store and query field data is achieved.
Distributed electrical vehicle drive scheme has being a widely discussed issue, especially the Front and Rear wheel Independent Drive(FRID) strategy, which has the advantage of low costing, simple structure, and easy ...
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ISBN:
(纸本)9781467388634
Distributed electrical vehicle drive scheme has being a widely discussed issue, especially the Front and Rear wheel Independent Drive(FRID) strategy, which has the advantage of low costing, simple structure, and easy to implement. The promotion of efficiency using FRID is discussed in this paper, then an motor and battery efficiency optimize algorithm of front and rear motor torque distribution are researched, respectively, and at last a genetic algorithm theory is used to combine above two optimized strategy. The research is verified to have the ability to improve the efficiency of the vehicle system, by the ADVISOR simulation and experiment.
Two-wheeled self-balance personal transportation robot has got a lot of attentions widely in the market because of its advantages which include small footprint, flexible mobility, zero-radius turn and simple driving m...
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ISBN:
(纸本)9781467386456
Two-wheeled self-balance personal transportation robot has got a lot of attentions widely in the market because of its advantages which include small footprint, flexible mobility, zero-radius turn and simple driving mode and so on. The driving system is used to drive two DC gear motors which are used to control motion of two-wheeled self-balance robot. We use the H-bridge motor driver circuit which makes the movement of the motor. This paper describes the mechanical design and electrical design, its characteristics and balance control strategy.
In order to find the convergence rate of finite sample discrete entropies of a white Gaussian noise(WGN), Brown entropy algorithm is numerically *** the increase of sample size, the curves of these finite sample discr...
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In order to find the convergence rate of finite sample discrete entropies of a white Gaussian noise(WGN), Brown entropy algorithm is numerically *** the increase of sample size, the curves of these finite sample discrete entropies are asymptotically close to their theoretical *** confidence intervals of the sample Brown entropy are narrower than those of the sample discrete entropy calculated from its differential entropy, which is valid only in the case of a small sample size of WGN. The differences between sample Brown entropies and their theoretical values are fitted by two rational functions exactly, and the revised Brown entropies are more efficient. The application to the prediction of wind speed indicates that the variances of resampled time series increase almost exponentially with the increase of resampling period.
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