A Novel Optimization and Control Method for Signalized Traffic Network

2011 ◽  
Vol 403-408 ◽  
pp. 3229-3234
Author(s):  
Xiao Feng Chen ◽  
Zhong Ke Shi
Keyword(s):  
Dynamic Optimization ◽  
Control Method ◽  
Control Period ◽  
Optimization Method ◽  
Dynamic Traffic ◽  
Arterial Network ◽  
Real Coded Genetic Algorithm ◽  
Optimization And Control ◽  
Multi Phase ◽  
And Control

For the dynamic optimization and control problem of the signalized arterial network in urban, a dynamic traffic flow model based on multi-phase control is firstly formulated, in which the total number of the retained vehicles through the arterial during the control period is adopted as the optimization objective and the green times and offsets as the control variables. Then a hybrid optimization method based on real-coded genetic algorithm and local search technique is designed to solve the optimization problem. For examining the validity of the optimization and control method proposed, it is applied to a case study with dynamic traffic demands and a large number of simulations show that the dynamic optimization and control method proposed in this paper can work well for the signalized arterial network.

Investigating the dynamic characteristics of the hydrostatic bearing spindle system with active piezoelectric restrictors

2021 ◽  
pp. 1-20
Author(s):  
Yixin Zhang ◽  
Wei Pan ◽  
Shuo Zhan ◽  
Ran Huang ◽  
Shujiang Chen ◽  
...  
Keyword(s):  
Active Control ◽  
Dynamic Characteristics ◽  
Control Method ◽  
Spindle System ◽  
Optimization And Control ◽  
And Control ◽  
Pipeline Model ◽  
Structural Optimization And Control ◽  
Industrial Demand ◽  
Active Control Method

Abstract Studies show that active control technology can improve system performance and meet the increasing industrial demand in diverse applications. In the present study, the dynamic characteristics of the bearing-spindle system based on active piezoelectric (PZT) restrictors, including the amplitude-frequency and phase-frequency characteristics are analyzed theoretically and experimentally. In the analysis, the influence of the pipeline model on the system characteristics is studied. Then the feasibility and effectiveness of the active control method are verified through experiments. It is demonstrated that the theoretical and experimental results are consistent. The present study is expected to provide a guideline for further investigations on the structural optimization and control law design for active hydrostatic oil-film bearing spindle systems.

scholarly journals Analysis, Design, and Control of an Omnidirectional Mobile Robot in Rough Terrain

2009 ◽  
Vol 131 (12) ◽  
Author(s):  
Martin Udengaard ◽  
Karl Iagnemma
Keyword(s):  
Mobile Robot ◽  
Control Method ◽  
Optimization Method ◽  
Contact Angles ◽  
Design Guidelines ◽  
Rough Terrain ◽  
Uneven Terrain ◽  
Omnidirectional Mobile Robot ◽  
Subsystem Design ◽  
And Control

An omnidirectional mobile robot is able, kinematically, to move in any direction regardless of current pose. To date, nearly all designs and analyses of omnidirectional mobile robots have considered the case of motion on flat, smooth terrain. In this paper, an investigation of the design and control of an omnidirectional mobile robot for use in rough terrain is presented. Kinematic and geometric properties of the active split offset caster drive mechanism are investigated along with system and subsystem design guidelines. An optimization method is implemented to explore the design space. The use of this method results in a robot that has higher mobility than a robot designed using engineering judgment. A simple kinematic controller that considers the effects of terrain unevenness via an estimate of the wheel-terrain contact angles is also presented. It is shown in simulation that under the proposed control method, near-omnidirectional tracking performance is possible even in rough, uneven terrain.

scholarly journals Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity

2021 ◽  
Vol 15 ◽  
Author(s):  
Huijuan Zhang
Keyword(s):  
Flight Control ◽  
Control Method ◽  
Optimization Method ◽  
Route Optimization ◽  
Computing Power ◽  
Human Control ◽  
Ground Station ◽  
Calculation Results ◽  
Planning Decision ◽  
And Control

In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisions such as flight routes, path planning, and flight control. In this case, it is necessary to use the computing power of the onboard computer of the UAV system, the computing power of the ground station computer, and related technologies such as detecting sensing, image vision, real-time wireless communication, etc., to develop target planning, decision-making and control algorithms for specific problems, and to solve the problem. Flight planning and flight control issues in machine applications. The UAV route optimization method based on the double target of confidence and ambiguity has positive significance for route optimization and wide application of UAV. In this context, this paper aims to analyze and study the UAV route optimization method based on the two goals of confidence and ambiguity, and optimized the method of drone route. The calculation results show that, compared with other methods, this method can make the UAV not rely on human control, but realize the use of fuzzy control method to identify the target and track the moving target.

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