Active Predictive Control Applied to Suppress Dynamic Vibration Responses of Elastic Linkage Mechanisms With Piezoelectric Actuators and Sensors

Volume 1 ◽  
2004 ◽  
Author(s):  
Pengfei Li ◽  
Hongzhao Liu
Keyword(s):  
Real Time ◽  
Predictive Control ◽  
High Speed ◽  
Piezoelectric Actuators ◽  
Elastic Vibration ◽  
Dynamic Responses ◽  
Linkage Mechanism ◽  
Dynamic Vibration ◽  
Vibration Responses ◽  
Piezoelectric Actuators And Sensors

An approach for suppressing elastic vibration responses of high-speed elastic linkage mechanisms with piezoelectric actuators and sensors was proposed using the active predictive control strategy. Based on the time-varying dynamic differential equation of a linkage mechanism, the discrete time state space equation was established, and the prediction model was formulated explicitly to express the dynamic responses of the mechanism. The weighted difference between predictive outputs and desired outputs was as the objective function, and the minimization of control energy was as the constraint condition. The model predictive control algorithm with real-time error prediction estimation was employed to suppress the dynamic vibration of the mechanism. The simulation results of the proposed method indicated that applying the simple predictive model of the controlled mechanism, the active prediction controller could be designed to suppress elastic vibration responses of linkage mechanisms efficiently, and meet the real-time demand of the system control.

Realizing a Self-powered Real-time Monitoring System on High-speed Trains

2021 ◽  
Vol 263 (6) ◽  
pp. 434-441
Author(s):  
S.K. Lai ◽  
C. Wang ◽  
L.H. Zhang ◽  
Y.Q. Ni
Keyword(s):  
Real Time ◽  
High Speed ◽  
Energy Harvester ◽  
Contact Forces ◽  
Dynamic Responses ◽  
Real Time Monitoring ◽  
Harvesting Technique ◽  
High Speed Trains ◽  
Noise Data ◽  
Self Powered

The development of the worldwide high-speed rail network is expanding at a rapid pace, imposing great challenges on the operation safety. Recent advances in wireless communications and information technology can integrate the Internet of Things and cloud computing to form a real-time monitoring platform of high-speed trains. To realize this system, a sustainable power source is indispensable. In this case, an ideal solution is to deploy a vibration-based energy harvester instead of batteries for the electrical supply of wireless sensors/devices, as vibrations induced by rail/wheel contact forces and vehicle dynamics are an abundant energy source. To address this challenge, a multi-stable, broadband and tri-hybrid energy harvesting technique was recently proposed, which can work well under low-frequency, low-amplitude, and time-varying ambient sources. In this work, we will introduce our idea, following the recently proposed energy harvester and the dynamic responses of a train vehicle, to design a self-sustained sensing system on trains. Supported by this self-powered system, accelerometers and microphones deployed on an in-service train (in axle boxes/bogie frames) can measure vibration and noise data directly. The correlation of the vibration and noise data can then be analyzed simultaneously to identify the dynamic behavior (e.g., wheel defects) of a moving train.

Dynamic Responses Analysis of Vehicle and Track Based on Different Train Speed

2013 ◽  
Vol 706-708 ◽  
pp. 1314-1318
Author(s):  
Hong Mei Shi ◽  
Zu Jun Yu
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Coupling Model ◽  
Dynamic Responses ◽  
High Speed Railway ◽  
Vertical Coupling ◽  
Railway Infrastructure ◽  
Train Operation ◽  
Vibration Responses ◽  
Train Speed

With the rapid development of high-speed railway, dynamic interaction between vehicles and track is correspondingly strengthened. Therefore, dynamic responses analysis of the high-speed vehicles and track become more and more important to the train operation safety, riding comfort as well as the maintenance of railway infrastructure. In this paper, vehicle and track vibration equations are separately established based on the vehicle track vertical coupling model. Taking the CRH vehicle running on the existing line as an example, the random vibration responses of the vehicle and track under different running speed are analyzed in time domain through numerical integral method and MATLAB program. According to the results, the velocity of train has more influence on the vibration property of rail and wheelsets than bogie and carbody.

Real-Time Optimal Speed Coordination and Scheduling for High-Speed Trains Based on Model Predictive Control

2012 ◽  
Vol 433-440 ◽  
pp. 6043-6048 ◽  
Author(s):  
Yong Hua Zhou ◽  
Yang Peng Wang ◽  
Pin Wu ◽  
Peng Wang
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Mobile Communications ◽  
High Speed ◽  
Real Time Processing ◽  
Optimal Speed ◽  
Simulation Speed ◽  
High Speed Trains ◽  
Time Optimal

In the high-speed train control system, the command information such as allowable running distance, time and speed can be sent by the global system for mobile communications for railways (GSM-R). This paper will propose the framework of real-time train scheduling and control based on model predictive control for the optimal speed set-points of high-speed trains. The rolling optimization process combines the genetic algorithm with the simulation of train operation to evaluate the performance of speed set-points, which can be easily implemented in the parallel computing environment for real-time processing. The conflict resolution at the crossing stations is modeled by and embedded in the combination of various speed set-points which are formed from virtual to simulation speed. The final actual speed of train is engendered based on the movement authority and running time through the system of automatic train protection (ATP). The simulation results demonstrate the favorable performance of proposed method.

Coordinated Control among High-Speed Trains Based on Model Predictive Control

2011 ◽  
Vol 467-469 ◽  
pp. 2143-2148 ◽  
Author(s):  
Yong Hua Zhou ◽  
Yang Peng Wang
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
High Speed ◽  
Prediction Models ◽  
Coordinated Control ◽  
Optimization Approach ◽  
High Speed Trains ◽  
Railway System ◽  
Real Time Information

In the high-speed train control system, it is possible to realize the mutual real-time communication between trains and ground equipments, thus the real-time information about trains can be transmitted to the ground commanding center. Under this new operation paradigm, in order to improve its safety and efficiency, this paper proposes the generalized and hierarchical framework of model predictive control (MPC) for the railway system including macroscopic, mesoscopic and microscopic levels. Under this framework, this paper further elaborates the coordinated following control based on MPC among adjacent trains in order to guarantee proper safety distance in case of unexpected disturbances. The Levenberg-Marquardt optimization approach is utilized to engender the corresponding control commands. The simulation results demonstrate the efficiency and robustness of MPC with the prediction models of trains’ movement for the coordinated control among them.

High speed interferometric device for real-time correction of aero-optic effects

1995 ◽  
Author(s):  
Rod Clark ◽  
John Karpinsky ◽  
Gregg Borek ◽  
Eric Johnson
Keyword(s):  
Real Time ◽  
High Speed ◽  
Time Correction

Electrical Probing and Surface Imaging of Deep Sub-Micron Integrated Circuits

1999 ◽  
Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges
Keyword(s):  
High Resolution ◽  
Integrated Circuits ◽  
Real Time ◽  
High Speed ◽  
Time Signal ◽  
Surface Imaging ◽  
Atomic Force ◽  
Submicron Structures ◽  
High Resolution Images ◽  
Capacitive Loading

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.

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