scholarly journals Multivariable Fuzzy Control Based Mobile Robot Odor Source Localization via Semitensor Product

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Ping Jiang ◽  
Yuzhen Wang ◽  
Aidong Ge

In order to take full advantage of the multisensor information, a MIMO fuzzy control system based on semitensor product (STP) is set up for mobile robot odor source localization (OSL). Multisensor information, such as vision, olfaction, laser, wind speed, and direction, is the input of the fuzzy control system and the relative searching strategies, such as random searching (RS), nearest distance-based vision searching (NDVS), and odor source declaration (OSD), are the outputs. Fuzzy control rules with algebraic equations are given according to the multisensor information via STP. Any output can be updated in the proposed fuzzy control system and has no influence on the other searching strategies. The proposed MIMO fuzzy control scheme based on STP can reach the theoretical system of the mobile robot OSL. Experimental results show the efficiency of the proposed method.

2012 ◽  
Vol 246-247 ◽  
pp. 893-897
Author(s):  
Ke Ming Lv ◽  
Meng You Huo ◽  
Fang Yi Li

In order to achieve the precise control of the compressed air foam proportioning on the fire engines, in this paper, the PIC microcontroller and the fuzzy control algorithm are used to design the microcontroller-based foam proportioning hybrid fuzzy control system. Taking into account the system cost and ease, we use the software to implement the fuzzy control of DC motor. The controller learns from the experience of skilled operators, and forms fuzzy control rules, finally we identify a number of important control parameters in this paper. The experimental results show that the fuzzy control system can achieve precise control of the mixing ratio


2016 ◽  
Vol 17 (7) ◽  
pp. 458-464
Author(s):  
M. V. Bobyr ◽  
◽  
S. A. Kulabuhov ◽  
A. S. Yakushev ◽  
◽  
...  

2014 ◽  
Vol 902 ◽  
pp. 201-206 ◽  
Author(s):  
Fang He ◽  
Jia Han ◽  
Qiang Wang

The variable tension control system of strip winding is a nonlinear, strong coupling and time-varying system. Traditional fuzzy controller with fixed control rules cannot obtain the desired control performance of the strip winding system. So the fuzzy control algorithm with adjustable factorαis proposed, and the introduction of adjustable factors can change the fuzzy control rules. The tension fuzzy controller with adjustable factorαis designed, and simulation model of the system is established using Matlab software. The result of simulation shows that tension fluctuation of the tension fuzzy control system with adjustable factor get small, comparing the tension fuzzy control system with adjustable factors with the ordinary tension fuzzy control system. The tension fuzzy control system with adjustable factors has fast system response and strong anti-interference ability.


2016 ◽  
Vol 17 (8) ◽  
pp. 531-535
Author(s):  
M. V. Bobyr ◽  
◽  
S. A. Kulabuhov ◽  
A. S. Yakushev ◽  
◽  
...  

2021 ◽  
Vol 57 (1) ◽  
pp. 528-536
Author(s):  
Ghunter Paulo Viajante ◽  
Eric Nery Chaves ◽  
Luis Carlos Miranda ◽  
Marcos Antonio A. de Freitas ◽  
Carlos Antunes de Queiroz ◽  
...  

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