A fuzzy controller for switching regulators with programmable control surfaces

1997 ◽  
pp. 851-860
Author(s):  
José Matas ◽  
Luis García de Vicuña ◽  
Mariano López ◽  
Juan Manuel Moreno
Keyword(s):  
Fuzzy Controller ◽  
Switching Regulators ◽  
Control Surfaces

Trajectory and Attitude Control of an Underwater Towed Vehicle

2006 ◽  
Author(s):  
Jiaming Wu ◽  
Xuefeng Jin
Keyword(s):  
Numerical Simulation ◽  
Hydrodynamic Model ◽  
Attitude Control ◽  
Fuzzy Controller ◽  
Hydrodynamic Performance ◽  
Control Technique ◽  
Main Body ◽  
Time Step ◽  
Vehicle Simulation ◽  
Control Surfaces

A new concept of control technique to perform operation of trajectory maneuvering to a controllable underwater towed vehicle moving in a designated path with a required attitude is presented. A trajectory and attitude control technique for the towed vehicle is proposed in order to accomplish the vehicle’s trajectory and attitude manipulations. This technique is based on a fuzzy algorithm. The towed vehicle in the research consists of a cylindrical main body equipped with several active horizontal and vertical control surfaces. Numerical simulation on the hydrodynamic and control behavior of the towed vehicle under this control manipulation is conducted based on a fully 3-D hydrodynamic model of an underwater towed vehicle. In the model the governing equation of the towed cable is based on the Ablow and Schechter method. The six-degrees-of-freedom equations of motion for an underwater vehicle simulation proposed by Gertler and Hagen are adopted to estimate the hydrodynamic performance of the towed vehicle. In numerical simulation the deflections of vehicle’s control surfaces are governed by the proposed fuzzy controller to manipulate the vehicle traveling along a 3-D stipulated trajectory configuration and required attitude. The values of the deflections are taken as input parameters for the hydrodynamic model at every time step. The performance of the towed vehicle under different designated trajectory and attitude control manipulations can then be investigated with the hydrodynamic model.

scholarly journals Approximation Possibilities of Fuzzy Control Surfaces for Purpose of Implementation into Microcontrollers

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1602
Author(s):  
Martin Olejár ◽  
Dušan Marko ◽  
Ondrej Lukáč ◽  
Marta Harničárová ◽  
Jan Valíček
Keyword(s):  
Fuzzy Control ◽  
Mobile Robot ◽  
Robot Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Computation Time ◽  
Control Area ◽  
Exponential Functions ◽  
Mobile Robot Control ◽  
Control Surfaces

The main contribution of the paper is the simplification of the computational process of fuzzy control of a mobile robot controlled by a microcontroller. We present a way to implement this control method with a reduced computation time of control actions and memory demand. Our way to accomplish this, was to replace the fuzzy controller with the approximation of its resulting control surfaces. In the paper, we use the previously presented approximation by the table and describe other methods of approximation of the control area through polynomial and exponential function. We tested all approximation methods in simulations and with a real mobile robot. Based on the measured trajectory of the EN20 mobile robot, we found that approximation through the table is the most accurate in terms of the fuzzy surface but delivers noticeable oscillations of mobile robot control in real conditions. Polynomial and exponential functions fuzzy surface approximations were less accurate than the table, but provide smoother control based on robot trajectories and are much more appropriate in terms of microcontroller implementation due to lower demand on memory.

scholarly journals SIMULATION MODELING OF FUZZY LOGIC CONTROLLER FOR AIRCRAFT ENGINES

2017 ◽  
pp. 27-33
Author(s):  
Marcin Pasieka ◽  
Norbert Grzesik ◽  
Konrad Kuźma
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Main Task ◽  
Controller Performance ◽  
Vertical Speed ◽  
Important Input ◽  
Flow Through ◽  
Control Surfaces ◽  
Head Temperature

This article described project of fuzzy logic controller witch control the scope of opening cowl flaps in Piper Seneca V engines. This allows to maintain optimum engine temperature by varying the amount of air flow through the engine compartment. The main task of controller is to reduce pilot workload during the entire flight, as well as to maintain optimum engine operating parameters in order to increase its service life. The designed fuzzy controller generates a cowl flaps control signal according to the three most important input parameters: Cylinder Head Temperature (CHT), Vertical Speed Indicator (VSI), Manifold Pressure (MP). The project uses Matlab and Fuzzy Logic Toolbox software. The authors presented the performance of the system based on twenty samples for research, which simulate position flaps. This articles presented also control surfaces, due to which it is possible to analyze controller performance. At the end showed the simulation process in the Simulink software package with the preset input values.

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.

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