Fuzzy controller based AI for dynamic difficulty adjustment for defense of the Ancient 2 (DotA2)

2016 ◽  
Author(s):  
Nino Prasetyo Hamal Pratama ◽  
Supeno Mardi Susiki Nugroho ◽  
Eko Mulyanto Yuniarno
Keyword(s):  
Fuzzy Controller

SYNTHESIS AND OPTIMIZATION OF FUZZY CONTROLLER FOR CONTROL SYSTEM OF FLOATING DOCK DRAFT

2016 ◽  
Vol 23 (99) ◽  
pp. 113-120
Author(s):  
Yuri P. Kondratenko ◽  
◽  
Alexey V. Korobko ◽  
Alexey V. Kozlov ◽  
Andrej N Topalov ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Controller

Path Tracking Controller Design of Automatic Guided Vehicle Based on Four-Wheeled Omnidirectional Motion Model

2020 ◽  
Vol 17 (2) ◽  
pp. 7996-8010
Author(s):  
X. Wu ◽  
Y. Yang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Threshold Value ◽  
Position Angle ◽  
Path Tracking ◽  
Global Coordinate System ◽  
Automatic Guided Vehicle ◽  
Input Variables ◽  
Industrial Pc

This paper presents a new design of omnidirectional automatic guided vehicle based on a hub motor, and proposes a joint controller for path tracking. The proposed controller includes two parts: a fuzzy controller and a multi-step predictive optimal controller. Firstly, based on various steering conditions, the kinematics model of the whole vehicle and the pose (position, angle) model in the global coordinate system are introduced. Secondly, based on the modeling, the joint controller is designed. Lateral deviation and course deviation are used as the input variables of the control system, and the threshold value is switched according to the value of the input variable to realise the correction of the large range of posture deviation. Finally, the joint controller is implemented by using the industrial PC and the self-developed control system based on the Freescale minimum system. Path tracking experiments were made under the straight and circular paths to test the ability of the joint controller for reducing the pose deviation. The experimental results show that the designed guided vehicle has excellent ability to path tracking, which meets the design goals.

A Neuro-Fuzzy Controller for Doubly FED Asynchronous Motor Drive

2010 ◽  
Vol 4 (1) ◽  
pp. 8-15
Author(s):  
Azeddine Chaiba ◽  
◽  
Rachid Abdessemed ◽  
M. Lokmen Bendaas ◽  
◽  
...  
Keyword(s):  
Fuzzy Controller ◽  
Asynchronous Motor ◽  
Motor Drive ◽  
Neuro Fuzzy ◽  
Doubly Fed

Synchronous Reference Scheme for Improving the Active Power Filter Performance by using Fuzzy Controller

2014 ◽  
Vol 2 (1) ◽  
pp. 15-21
Author(s):  
Appikonda Mohan ◽  
◽  
Naveen Bolisetti ◽  
Chiranjeevi Tirumalasetty ◽  
Mothiram Bhukya ◽  
...  
Keyword(s):  
Fuzzy Controller ◽  
Active Power Filter ◽  
Active Power ◽  
Filter Performance ◽  
Power Filter ◽  
Reference Scheme
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