Electronic Hydraulic Brake System Modeling and Simulation

2013 ◽  
Vol 850-851 ◽  
pp. 701-704
Author(s):  
You Yao ◽  
Xue Xun Guo ◽  
Ming Peng ◽  
Ji Bing Zhang ◽  
Jie Zhang
Keyword(s):  
Modeling And Simulation ◽  
Simulation Study ◽  
System Modeling ◽  
Simulation Software ◽  
Control Mode ◽  
Brake System ◽  
Practical Significance ◽  
Braking System ◽  
Hydraulic Brake ◽  
And Control

This paper introduces the structure, principle and control mode of the electronic hydraulic brake system, and using simulation software AMESim to carry on the modeling and simulation study. Through the simulation of the WBS brake system, and comparison between the theory and the test, the WBS model is introduced and analyzed, which has great theoretical and practical significance to the future braking system.

Survey on Aerial Manipulator: System, Modeling, and Control

Robotica ◽  
2019 ◽  
Vol 38 (7) ◽  
pp. 1288-1317 ◽  
Author(s):  
Xiangdong Meng ◽  
Yuqing He ◽  
Jianda Han
Keyword(s):  
System Modeling ◽  
Future Research ◽  
Typical Application ◽  
Modeling And Control ◽  
Aerial Manipulator ◽  
Initial Appearance ◽  
Aerial Vehicle ◽  
New Type ◽  
And Control ◽  
Flying Robot

SUMMARYThe aerial manipulator is a special and new type of flying robot composed of a rotorcraft unmanned aerial vehicle (UAV) and a/several manipulator/s. It has gained a lot of attention since its initial appearance in 2010. This is mainly because it enables traditional UAVs to conduct versatile manipulating tasks from air, considerably enriching their applications. In this survey, a complete and systematic review of related research on this topic is conducted. First, various types of structure designs of aerial manipulators are listed out. Subsequently, the modeling and control methods are introduced in detail from the perspective of two types of typical application cases: free-flight and motion-restricted operations. Finally, challenges for future research are presented.

The Application of Cell Mapping to Dynamic Modeling and Control

2014 ◽  
Vol 687-691 ◽  
pp. 661-664
Author(s):  
Ling Li Guo ◽  
Ye Wang
Keyword(s):  
System Modeling ◽  
Cell Mapping ◽  
Blast Temperature ◽  
Modeling And Control ◽  
Dynamical System Modeling ◽  
Time Optimal ◽  
Point Control ◽  
Set Point Control ◽  
And Control ◽  
Input Level

A dynamical system modeling method based on cell mapping is proposed in order to describe the system statistic property, and then a discrete optimal control table is constructed through each state cell excited by all input level recording the optimal cost value at the same time. Finally, a demonstration of the method is shown for the time optimal blast temperature set point control of a sintering machine.

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