Attitude control of a spacecraft using an extended self-organizing fuzzy logic controller

1987 ◽  
Vol 201 (2) ◽  
pp. 97-106 ◽  
Author(s):  
S Daley ◽  
K F Gill
Keyword(s):  
Fuzzy Logic ◽  
Attitude Control ◽  
Fuzzy Logic Controller ◽  
The Self ◽  
Extended Self ◽  
Simple Method ◽  
Excellent Control ◽  
High Degree ◽  
Self Organizing

A simple method for extending the range of sensitivity of the self-organizing fuzzy logic controller (SOC) is proposed. The performance of the resulting controller is studied through its application to the attitude control of a flexible satellite. It is found that the extended SOC can provide excellent control and also possesses a high degree of robustness.

A Design Study of a Self-Organizing Fuzzy Logic Controller

1986 ◽  
Vol 200 (1) ◽  
pp. 59-69 ◽  
Author(s):  
S Daley ◽  
K F Gill
Keyword(s):  
Fuzzy Logic ◽  
Control Problem ◽  
Attitude Control ◽  
Fuzzy Logic Controller ◽  
The Self ◽  
Dynamic Coupling ◽  
Design Study ◽  
Complex Processes ◽  
Self Organizing

A study is described of the application of the self-organizing fuzzy logic controller (SOC), proposed by Procyk and Mamdani, to a complex multi-variable process. The control problem used in the investigation is the attitude control of a flexible satellite that has significant dynamic coupling of the axes. It is found that reasonable control can be obtained for this process, therefore demonstrating the potential of the SOC for complex processes that cannot be reliably modelled.

Comparison of a Fuzzy Logic Controller With a P + D Control Law

1989 ◽  
Vol 111 (2) ◽  
pp. 128-137 ◽  
Author(s):  
S. Daley ◽  
K. F. Gill
Keyword(s):  
Fuzzy Logic ◽  
Attitude Control ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Good Control ◽  
Control Law ◽  
Dynamic Coupling ◽  
Process Knowledge ◽  
Logic Control ◽  
Limited Process

A study is described that compares the performance of a self-organizing fuzzy logic control law (SOC) with that of the more traditional P + D algorithm. The multivariate problem used for the investigation is the attitude control of a flexible satellite that has significant dynamic coupling of the axes. It is demonstrated that the SOC can provide good control, requires limited process knowledge and compares favorably with the P + D algorithm.

scholarly journals AUTOMATIC PARKING OF SELF-DRIVING CAR BASED ON LIDAR

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 241-246 ◽  
Author(s):  
B. Lee ◽  
Y. Wei ◽  
I. Y. Guo
Keyword(s):  
Fuzzy Logic ◽  
Point Cloud ◽  
Fuzzy Logic Controller ◽  
The Self ◽  
Minimum Size ◽  
Parking Space ◽  
Point Cloud Data ◽  
Tree Algorithm ◽  
Cloud Data ◽  
Automatic Parking

To overcome the deficiency of ultrasonic sensor and camera, this paper proposed a method of autonomous parking based on the self-driving car, using HDL-32E LiDAR. First the 3-D point cloud data was preprocessed. Then we calculated the minimum size of parking space according to the dynamic theories of vehicle. Second the rapidly-exploring random tree algorithm (RRT) algorithm was improved in two aspects based on the moving characteristic of autonomous car. And we calculated the parking path on the basis of the vehicle’s dynamics and collision constraints. Besides, we used the fuzzy logic controller to control the brake and accelerator in order to realize the stably of speed. At last the experiments were conducted in an autonomous car, and the results show that the proposed automatic parking system is feasible and effective.

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