Research of beam control system component simulation and separation method of the kinematics coupling

Author(s):  
Yufang Yue ◽  
Xiaogang Xie ◽  
Jianzhu Zhang ◽  
Jianzhu An ◽  
Feizhou Zhang
2014 ◽  
Vol 26 (9) ◽  
pp. 91006
Author(s):  
岳玉芳 Yue Yufang ◽  
谢晓钢 Xie Xiaogang ◽  
张建柱 Zhang Jianzhu ◽  
安建祝 An Jianzhu ◽  
张飞舟 Zhang Feizhou

2014 ◽  
Vol 110 ◽  
pp. S52-S53 ◽  
Author(s):  
T. Kormoll ◽  
A. Duplicy ◽  
W. Enghardt ◽  
S. Helmbrecht ◽  
F. Hueso Gonzalez

2021 ◽  
Author(s):  
Shin-Ichiro Higashino ◽  
Masahiko Hayashi ◽  
Takuya Okada ◽  
Shuji Nagasaki ◽  
Koichi Shiraishi ◽  
...  

Abstract. The authors have developed a system for the Antarctic stratospheric aerosol observation and sample-return using the combination of a rubber balloon, a parachute, and a gliding fixed-wing unmanned aerial vehicle (UAV). A rubber balloon can usually reach 20 km to 30 km in altitude, but it becomes difficult for the UAV designed as a low-subsonic UAV to directly glide back from the stratospheric altitudes because the quantitative aerodynamic characteristics necessary for the control system design at such altitudes are difficult to obtain. In order to make the observation and sample-return possible at such higher altitudes while avoiding the problem with the control system of the UAV, the method using the two-stage separation was developed and attempted in Antarctica. In two-stage separation method, the UAV first descends by a parachute after separating from the balloon at stratospheric altitude to a certain altitude wherein the flight control system of the UAV works properly. Then it secondly separates the parachute for autonomous gliding back to the released point on the ground. The UAV in which an optical particle counter and an airborne aerosol sampler were installed was launched on January 24, 2015 from S17 (69.028S, 40.093E, 607 m MSL) near Syowa Station in Antarctica. The system reached 23 km in altitude and the UAV successfully returned aerosol samples. In this paper, the details of the UAV system using the two-stage separation method including the observation flight results, and the preliminary results of the observation and analyses of the samples are shown.


Author(s):  
Himanshukumar R. Patel ◽  
Vipul A. Shah

PurposeThe two-tank level control system is one of the real-world's second-order system (SOS) widely used as the process control in industries. It is normally operated under the Proportional integral and derivative (PID) feedback control loop. The conventional PID controller performance degrades significantly in the existence of modeling uncertainty, faults and process disturbances. To overcome these limitations, the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative Controller (IT2TID) which is modified structure of PID controller.Design/methodology/approachIn this paper, an optimization IT2TID controller design for the conical, noninteracting level control system is presented. Regarding to modern optimization context, the flower pollination algorithm (FPA), among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID's and IT2FPID's parameters. The proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization problem. System responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the FPA.FindingsAs the results, it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component faults. Additionally, statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent literature.Originality/valueApplication of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of faults. Also, proposed method will compare with other method and statistical analysis will be presented.


1996 ◽  
Vol 2 (3) ◽  
pp. 259-262 ◽  
Author(s):  
R. E. Spier

1976 ◽  
Vol 1 (1) ◽  
pp. 41-47 ◽  
Author(s):  
AH Cribbens ◽  
DH Newing ◽  
HA Ryland

2011 ◽  
Vol 19 (S5) ◽  
pp. A1037 ◽  
Author(s):  
Haotong Ma ◽  
Qiong Zhou ◽  
Xiaojun Xu ◽  
Shaojun Du ◽  
Zejin Liu

2010 ◽  
Vol 57 (3) ◽  
pp. 1528-1535
Author(s):  
Hiroyuki Sako ◽  
Christopher K. Allen ◽  
Hiroshi Ikeda ◽  
Guobao Shen
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document