Obstacle Avoidance Control Method of Mobile Robot Motion

2013 ◽  
Vol 443 ◽  
pp. 119-122
Author(s):  
Bin Zhou ◽  
Jin Fa Qian

Mobile robot is an intelligent system which can move freely and is scheduled to complete the task in the working environment. Obstacle avoidance of mobile robot is the research hotspot in the control field of the mobile robot. The mobile robot obstacle avoidance methods are classified, including the traditional algorithms and the intelligent algorithms. This paper summarizes the intelligent algorithm in the mobile robot obstacle avoidance technique in the present situation, and the intelligent algorithm which is the most researched in the current. Finally, this paper prospects the development trend of intelligent obstacle avoidance of the robot.

2021 ◽  
Vol 233 ◽  
pp. 04003
Author(s):  
Li Ma

There are some limitations in the practical application of robot obstacle avoidance control methods. In order to realize the high-speed planning and obstacle avoidance processing of mobile robot, the path model, inspection route and path obstacles of the robot must be fully considered. Through feature extraction, the reasonable planning of substation inspection obstacle avoidance route is realized, and the control quantity set satisfying substation inspection is given. The hierarchical fuzzy obstacle avoidance control method of mobile robot is realized by using the optimal control set design. The simulation results show that the control method can solve various complex problems when the robot contour collides with obstacles, and can realize safe and fast control. The flexibility and robustness of obstacle avoidance are improved, and the motion state and speed of obstacles are also improved.


2012 ◽  
Vol 424-425 ◽  
pp. 941-944
Author(s):  
Xue Mei Hu ◽  
Guo Tong Zhang

Correction Technology on active power factor is now widely used in AC-DC power supply circuit to eliminate harmonic of power system, to improve the power factor. Firstly the method of power factor correction technology is set out. Secondly, the basic principle of active power factor correction technology is analyzed, then the control method for active power factor correction technology is given. Finally the development trend of active power factor correction technology is analyzed.


1993 ◽  
Vol 5 (5) ◽  
pp. 481-486 ◽  
Author(s):  
Masafumi Uchida ◽  
◽  
Syuichi Yokoyama ◽  
Hideto Ide ◽  

The potential method is superior for solving the problem of motion planning; however, it must address the problem of the real-time generation of potential field. Obstacle avoidance is a motion planning problem. In a previous study, we investigated the real-time generation of potential field. Based on parallel processing with element group, we proposed the system by Sensory Point Moving (SPM) method. As a result of computer simulation, it was confirmed that the SPM method is effective for generating an obstacle avoidance path in 2-D and a more complex working environment like a 3-D one. In this paper, we discuss the development of autonomous mobile robot for obstacle avoidance based on the SPM method.


2013 ◽  
Vol 347-350 ◽  
pp. 98-101
Author(s):  
Ying Xu Zhang ◽  
Quan Qiu ◽  
Quan Ming Zhao ◽  
Wen Gang Zheng

This paper gives a rough review of the intelligent control strategies used in BLDC (Brushless Direct Current) motor controller. The development history of BLDC motor is introduced firstly. The parameter setting problems in a traditional PID control method are analyzed secondly. Then, an intensive introduction on the intelligent control strategies those are used in the PID control system is presented. Finally, the development trend of the intelligent control strategies in the BLDC motor control is discussed.


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