Exemplos de uso de Fuzzy controller em Inglês e suas traduções para o Português
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In consonance, the fuzzy controllers are used in the autopilot guidance system.
That same year, in the United Kingdom,the presentation of the first Fuzzy controller occurred, created by E. Mandani.
Besides, it is developed a fuzzy controller to adjust the training during the convergence process.
It is also proposed a possible prototype describing each required component and test the fuzzy controller applied to it.
The fuzzy controller designed had its performance evaluated by a real time test in a liquid level system.
This paper deals with the development of a quadrotor using fuzzy controllers(fuzzy), implemented in labviewtm.
The proposed t-s fuzzy controller uses a single rule base to generate the direct-axis and quadrature-axis components of the stator voltage space vector.
The control strategy was based on a fuzzy logic which used a fixed controller surface for the fuzzy controllers.
This simplifies the structure of the t-s fuzzy controller and consequently it reduces the computational cost and its processing time.
Presents a theoretical study of logic fuzzy applied in robotics and the design, development andstability analysis of fuzzy controller position.
Subsequently, it was evaluated a pi fuzzy controller of single input and multiple outputs with a modified rule base for the system.
From the equations obtained in modeling, implements a virtual model using software labviewtm andthen each subsystem is described in detail and the fuzzy controller.
In the first stage were evaluated pi, pd and pid fuzzy controllers of multiple inputs and single output and the error of the generated voltage as state variable.
This thesis proposes a direct field oriented control(d-foc) and direct torque control(dtc)strategies with takagi-sugeno fuzzy controllers t-s fuzzy. .
This work proposes a fuzzy controller applied to a commercial variable-speed drive(vsd) for use in direct-coupled photovoltaic pumping systems pvps.
Besides that, non-linear loads are studied, so multiple pi+resonant and fuzzy controllers are used to reduce the voltage and current distortions in that case.
Therefore, we developed a fuzzy controller that suggests a regulation of the output power from generators of a shp based on the behavior of a set of five input variables.
In the experimental setup,the temperature is controlled over the fluid trajectory using pid and fuzzy controllers, respecting the conditions used on the mathematical model.
In this same motor, it¿s applied a fuzzy controller replacing the direct torque control and a fuzzy control replacing the pi speed controller. .
This thesis presents the design of three controllers, which are, h-infinity controller with output feedback,pid controller and fuzzy controller, so that this methodology can be employed in building a future flight simulator.
The intelligent velocity control proposed uses the switching fuzzy controllers according to the movement to be performed, which allow the use of all the robot's movement potential respecting the constraints imposed by the dynamic model and magnetic adhesion.
A fuzzy controller was developed using the process of fuzzification, inference and defuzzification of the variables of interest for a pressurizer then this controller was connected to a pid controller forming a pid controller, but driven by fuzzy logic, that is, a pid-fuzzy controller. .
This work presents the application of a genetic algorithm in order to design a miso fuzzy controller by tuning its parameters in an experimental process of leveling liquid in a tank whose dynamics has nonlinear characteristics.
The function block of fuzzy controller made the evaporation temperature correction in function of the deviation caused by thermal load variation. this deviation was simulated in real time validating fuzzy block execution on experimental plant freezer chamber.
The three control techniques selected and developed are fuzzy, pid and pid developed through genetic algorithms. techniques chosen due to the following factors:the good results obtained by the fuzzy controller, reliability and robustness exhibited by the pid controller in the available literature and adaptability of the genetic algorithms. the simulated results obtained proved satisfactory for the inverted pendulum control.
In this thesis are proposed results of takagi-sugeno(t-s) fuzzy controllers synthesis for local stabilization of nonlinear discrete time systems with time-varying delay in the states, not found in literature.
Thus, for control strategies based on convexity properties, the stability of the closed-loop system composed of the nonlinear system and the fuzzy controller should be analyzed in a local context, being fundamental to determining stability regions for the closed-loop system. this inherent local characteristic is often not considered in most fmb control design results, which may lead to poor performance or even instability of the closed-loop system.
Hence, the objective of this work is to present a methodology based on fuzzy voltage controller for switched reluctance machine.
To manage the charging and discharging of the battery bank a bidirectional topology(boost-buck) with fuzzy p+i controller for stabilization of current or voltage is used.
This work presents the direct power control of the switched reluctance generator of 12/8 using the self-tuning fuzzy pi controller and the vector control for inverter connected to the grid.