An Efficient Turning Control Method Based on Coordinating Driving for an Underwater Snake-Like Robot with a Propeller

Author(s):  
Shan Li ◽  
Xian Guo ◽  
Junfang Zhou ◽  
Chao Ren ◽  
Shugen Ma
2011 ◽  
Vol 2-3 ◽  
pp. 48-52 ◽  
Author(s):  
Soichiro Suzuki ◽  
Ying Cao ◽  
Masamichi Takada ◽  
Kentaro Oi

This study is aimed at stabilizing a three dimensional biped passive walker in various environments and achieving climbing and turning control. The novel control method synchronizes a period of the changing motion of the stance leg in frontal plane (frontal motion) with a period of the swing leg by periodic input in order to stabilize the three dimensional passive walker. A mechanical oscillator is utilized to change the period of the frontal motion. The target path of the oscillator is automatically generated based on frequency entrainment in order to adjust the period of the frontal motion. In the climbing and turning control of the passive walker, the amplitude and the phase generating algorithm of the target path of the oscillator are improved. It is analytically demonstrated that the biped passive walker can be stabilized even in climbing and turning.


Author(s):  
Hitoshi SORI ◽  
Hiroyuki INOUE ◽  
Kazunori HOSOTANI ◽  
Manabu KATO ◽  
Shiro URUSHIHARA ◽  
...  

2014 ◽  
Vol 602-605 ◽  
pp. 1186-1189
Author(s):  
Dong Sheng Wu ◽  
Qing Yang

Aiming at the phenomena of big time delay are normally existing in industry control, this paper proposes an intelligent GA-Smith-PID control method based on genetic algorithm and Smith predictive compensation algorithm and traditional PID controller. This method uses the ability of on line-study, a self-turning control strategy of GA, and better control of Smith predictive compensation to deal with the big time delay. This method overcomes the limitation of traditional PID control effectively, and improves the system’s robustness and self-adaptability, and gets satisfactory control to deal with the big time delay system.


2001 ◽  
Vol 84 (9) ◽  
pp. 16-26
Author(s):  
Tadao Saito ◽  
Hitoshi Aida ◽  
Terumasa Aoki ◽  
Soichiro Hidaka ◽  
Tredej Toranawigtrai ◽  
...  

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