Introduces the auto disturbance rejection controller and its application on a Fast Following Synchronizer of Generator The numerical simulation shows that the controller ensures very good robustness under modeling uncertainty,and it is concluded that the proposed controller produces better dynamic performance such as small overshoot than the classic PID controller

Auto-disturbances-rejection Controller and it′s Application in Fast Following Synchronizer of Generators

A linear model of the magnetic-levitation maglev system, including magnetic flux signal, has been established based on feedback linearization. This paper emphasizes measurements of magnetic flux signal and velocity signal, which are realized easily by electromagnetic induction law. The magnetic flux signal's range obtained by this method is wide. The degree of sensitivity can be regulated by changing the vertical area of the induction coils. Furthermore, this paper has designed a PIDB proportion, integration, differentiation, flux density B controller based on flux feedback, and some experiments have been performed on a CMS04 magnetic suspension vehicle in the national mid-low speed maglev experiment field of Tangshan city, China. The experimental results denote that the PIDB control method designed in this paper has more advantages than the traditional control method with position and current double cascades, and the robustness and stability of the maglev control system by this method have been verified effectively.

Measurement and Control of Magnetic Flux Signal in a Maglev System

A filtering algorithm and direction identification method are presented for the positioning system of the mid-speed maglev train. Considering the special structure of the mid-speed maglev train, the ground position estimation method is adopted for its traction system. As the train is running, the induction loop-cable receives the signal sent by the on-board antenna to detect the position and direction of the train. But the height of the on-board antenna relative to the loop-cable is highly vulnerable to the change of the suspension height and the magnetic field produced by the traction during traveling, which may lead to amplitude fluctuation of the received signal. Consequently, the position estimation may be inaccurate. Therefore, a discrete second-order nonlinear trackdifferentiator is proposed based on the boundary characteristic curves, and the new differentiator could also extract the running direction of the train for the traction system. The experimental results show that the tracking differentiator can effectively filter out the signal interference and can provide accurate direction signal.

Filtering algorithm and direction identification in relative position estimation based on induction loop-cable

Edge detection has traditionally been a fundamental problem in digital image processing. Although many different detection approaches have already been proposed, there still exists a contradiction between noise suppression, edge protection and algorithm complexity. So it is still a challenging problem and continues to be an active research area. In this paper, we explore new solutions in nonlinear field by introducing the idea of optimal control into edge detection. Firstly, a new discrete-time nonlinear Tracking Differentiator is derived by phase plane analysis, which has a better noise suppression ability and a smaller amount of calculation compared with some influential algorithms. Then, the new tracking differentiator is applied to 2-dimensional space to obtain the gray gradient of an image. Subsequently, the edges can be extracted by applying hysteresis thresholding to the gray gradient obtained. The experimental results show our method can outperform the conventional Canny algorithm. This paper provides a new idea for edge detection technology.

A new nonlinear tracking differentiator and its application in edge detection

Position or speed signals are the key control parameters in long primary linear induction motor (LPLIM) drives. This paper quantitatively analyses the relationship between the speed measuring error and the motor thrust. The system allowable measurement error with the premise satisfying certain thrust fluctuation range under high speed is deduced in this paper. Based on the above results, the design of the grating strips is optimized. Even if the mover is crossing the rail gap, the error of the speed measurement system can still be kept within the range of thrust fluctuations, and specially, the accuracy requirements for track installation are reduced. Finally, the simulation and experiments verification are completed.

Research on the Position-Speed Measuring System for High-Speed Long Primary Linear Induction Motor

A new model about nonlinear discrete-time tracking-differentiator which can quickly track an input signal without overshoot and chattering and can produce a well differential signal is presented. Itpsilas filtering capability is studied extensively, The result shows that this tracking-differentiator has excellent capability of remove noise. Finally, a simulation and analysis of experimental data is given, as a result the feasibility of the tracking-differentiatorpsilas filtering method is confirmed.

Research on a new nonlinear discrete-time tracking-differentiator filtering characteristic

Time Sensitive Network (TSN) is a new generation of deterministic transmission technology, which adds determinism and reliability to traditional Ethernet. To study and realize the centralized scheduling management of time-sensitive network switches, this paper proposes a time-sensitive network centralized scheduling management system. The system includes three functions: topology discovery, TSN YANG model configuration, and traffic scheduling, and achieves automatic configuration management. Purpose of Time Sensitive Networking. Finally, an experimental verification platform is built by using the TSN switch developed in the laboratory, which verifies the feasibility of the scheme proposed in this paper.

Research on time-sensitive network centralized scheduling management

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Research on a new nonlinear discrete-time tracking-differentiator filtering characteristic

Research on time-sensitive network centralized scheduling management