An application of evolutionary fuzzy modeling to spacecraft fuzzy controller synthesis

2002 ◽  
Author(s):  
A. Satyadas ◽  
K. Krishnakumar
Keyword(s):  
Fuzzy Controller ◽  
Fuzzy Modeling ◽  
Controller Synthesis

scholarly journals Fuzzy logic for control Peltier module

2018 ◽  
Vol 19 (6) ◽  
pp. 704-707
Author(s):  
Emil Sadowski ◽  
Tomasz Marek ◽  
Roman Pniewski ◽  
Rafał Kowalik
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Control Process ◽  
Controller Synthesis ◽  
Cell Control ◽  
Control Value ◽  
Peltier Module ◽  
Current Value

The article presents the Peltier cell control system devel-oped by the authors. Due to the non-linear dependence of the cell's efficiency on the current, fuzzy logic was used to determine the control value. In the following parts of the article the actual characteristics of the Peltier cells, the method of determining the control current value (fuzzy controller synthesis). The controller of fuzzy logic and its relation to traditional control in a closed system and obtained results have been presented. The FUDGE software from Motorola was used to implement fuzzy logic. The control algorithm presented in the article will be used to develop cell control system that enables optimization of the Peltier cell control process.

A Novel Approach to Fuzzy Model Identification Based on Bat Algorithm

2019 ◽  
Vol 10 (2) ◽  
pp. 93-108
Author(s):  
Neety Bansal ◽  
Parvinder Kaur
Keyword(s):  
Real Time ◽  
Nonlinear Problem ◽  
Fuzzy Controller ◽  
Model Identification ◽  
Fuzzy Model ◽  
Bat Algorithm ◽  
Research Paper ◽  
Fuzzy Modeling ◽  
Battery Charger ◽  
Novel Approach

The identification of a fuzzy model is a complex and nonlinear problem. This can be formulated as a search and optimisation problem and many computing approaches are available in the literature to solve this problem. This research paper is focused on using a new nature inspired approach for fuzzy modeling based on Bat Algorithm which is derived from the behaviour of micro-bats to search for their prey. The bat algorithm approach has been implemented and validated successfully on a rapid battery charger fuzzy controller problem. Currently, the key requirement is real-time solutions to complex problems at a blazing speed. Bat algorithm evolved the optimised fuzzy model within a few seconds as compared to other approaches.

A FUZZY CONTROLLER SYNTHESIS FOR A BOOST CONVERTER

2005 ◽  
Vol 38 (1) ◽  
pp. 181-186 ◽  
Author(s):  
Kamel Guesmi ◽  
Najib Essounbouli ◽  
Abdelaziz Hamzaoui ◽  
Noureddine Manamanni ◽  
Janan Zaytoon
Keyword(s):  
Fuzzy Controller ◽  
Boost Converter ◽  
Controller Synthesis

scholarly journals Development of synthetic methodology of neuro-fuzzy controller adjusted by genetic algorithm

2018 ◽  
pp. 82-90
Author(s):  
N. A. Pervushina ◽  
D. E. Donovskiy ◽  
A. N. Khakimova
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Controller ◽  
Dynamic Control ◽  
Classical Problem ◽  
Control Object ◽  
Controller Synthesis ◽  
Synthetic Methodology ◽  
Neuro Fuzzy ◽  
Random Disturbances

The paper focuses on a synthetic methodology of a neuro-fuzzy controller adjusted by genetic algorithm for a dynamic control object. An algorithm for controller synthesis and a genetic algorithm for adjusting the controller's parameters have been developed. The methodology has been tested on the classical problem of stabilizing a vertical pendulum on a mobile trolley. The results obtained confirm the efficiency of the methodology and allow for the conclusion that the neuro-fuzzy controller when appropriately adjusted ensures high quality of the stabilization system, even if there are random disturbances on the dynamic object

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