Research and application of smart streetlamp based on fuzzy control method

SUMMARYIn this study, modelling and control of a two-link robot manipulator whose first link is rigid and the second one is flexible is considered for both land and underwater conditions. Governing equations of the systems are derived from Hamilton's Principle and differential eigenvalue problem. A computer program is developed to solve non-linear ordinary differential equations defining the system dynamics by using Runge–Kutta algorithm. The response of the system is evaluated and compared by applying classical control methods; proportional control and proportional + derivative (PD) control and an intelligent technique; integral augmented fuzzy control method. Modelling of drag torques applied to the manipulators moving horizontally under the water is presented. The study confirmed the success of the proposed integral augmented fuzzy control laws as well as classical control methods to drive flexible robots in a wide range of working envelope without overshoot compared to the classical controls.

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The Autonomous Suspending Control Method for Underwater Unmanned Vehicle Based on Amendment of Fuzzy Control Rules

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-319-11857-4_36 ◽

2014 ◽

pp. 318-323

Author(s):

Peng-fei Peng ◽

Zhi-gang Chen ◽

Xiong-wei Ren

Keyword(s):

Fuzzy Control ◽

Control Method ◽

Unmanned Vehicle ◽

Control Rules

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Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.1472 ◽

2014 ◽

Vol 556-562 ◽

pp. 1472-1475 ◽

Cited By ~ 1

Author(s):

Bing Dong ◽

Yan Tao Tian ◽

Chang Jiu Zhou

Keyword(s):

Dynamic Programming ◽

Fuzzy Control ◽

Electric Vehicle ◽

Energy Management ◽

Management System ◽

Control Method ◽

Fuzzy Controller ◽

Adaptive Fuzzy Control ◽

Energy Management System ◽

Fuzzy Control Strategy

This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.

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An improved stable adaptive fuzzy control method

IEEE Transactions on Fuzzy Systems ◽

10.1109/91.746301 ◽

1999 ◽

Vol 7 (1) ◽

pp. 27-40 ◽

Cited By ~ 156

Author(s):

K. Fischle ◽

D. Schroder

Keyword(s):

Fuzzy Control ◽

Control Method ◽

Adaptive Fuzzy Control ◽

Adaptive Fuzzy

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IoT Heating Solution for Smart Home with Fuzzy Control

JUCS - Journal of Universal Computer Science ◽

10.3897/jucs.2020.040 ◽

2020 ◽

Vol 26 (6) ◽

pp. 747-761

Author(s):

Łukasz Apiecionek ◽

Jacek Czerniak ◽

Dawid Ewald ◽

Mateusz Biedziak

Keyword(s):

Fuzzy Logic ◽

Internet Of Things ◽

Fuzzy Control ◽

Smart Home ◽

Control Method ◽

Computer Systems ◽

The Internet ◽

Climate Chamber

There is currently an era of Internet of Things in the computer systems, which consists in connecting all possible devices to the Internet in order to provide them with new functionalities and thus { to improve the user's life standard. One of such solutions could be Smart Home. The possibility of monitoring inner environment is required for such solutions. Such monitoring provides potential for e.g. better heating control. The authors of this paper propose some heating control method with Fuzzy Logic. The proposed method was tested in a special climate chamber. The authors provided conclusions at the end of the paper.

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