Comparison on fuzzy logic and PID controls for a DC motor position controller

Lin, P.I.-H.; Hwang, Sentai; Chou, Jung-Chuan

doi:10.1109/ias.1994.377695

Cited by 22 publications

(8 citation statements)

References 10 publications

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“…El propósito del control PID es mantener una posición de referencia a un valor asignado y ser capaz de aceptar de manera dinámica nuevos valores de referencia (P. I-Hai Lin, 1994). Las ganancias del controlador PID se sintonizaron a partir de la herramienta Tune del software Simulink.…”

Section: Controlador Proporiconal-integral-derivativounclassified

Implementación en un laboratorio virtual de un sistema teleoperado en configuración maestro esclavo con comunicación basada en el protocolo TCP/IP

Méndez

Hernández-Ríos

Benitez-Morales

et al. 2019

ICBI

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Este documento presenta el desarrollo de un laboratorio virtual con un sistema de teleoperación entre dos robots virtuales, los robots diseñados para este sistema son un dispositivo PHANToM OMNI y el robot PUMA 560. Para ello se consideraron las restricciones fı́sicas que se describen de manera matemática en los modelos cinemáticos y dinámicos de los robots. Se realizó una plataforma mediante el software Simulink para simular la teleoperación de ambos robots, esta permite agregar retardos para observar el comportamiento del sistema con la latencia que podrı́a tener la comunicación. Se desarrollaron pruebas de control implementando un controlador PID y un control por par calculado, con ello se puede realizar una comparación en el comportamiento del sistema con dos controles distintos para observar los posibles efectos de los retardos causados por la red de comunicación en el seguimiento de trayectorias.

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Section: Controlador Proporiconal-integral-derivativounclassified

Implementación en un laboratorio virtual de un sistema teleoperado en configuración maestro esclavo con comunicación basada en el protocolo TCP/IP

Méndez

Hernández-Ríos

Benitez-Morales

et al. 2019

ICBI

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“…Angeline, in [1], calls this the learning rate. A constant, Vmax, was used to arbitrarily limit the velocities of the particles and improve the resolution of the search.…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

“…The presented methods for Inverted Pendulum control are divided generally in three groups. Classic methods The Journal of Mathematics and Computer Science such as PID and PI controllers [1,2] Modern methods (adaptation-optimum…) [3,4,5] Artificial methods such as neural networks and fuzzy and Genetic Algorithm and PSO [6,7,8] theory are the presented methods for Inverted Pendulum angle control.…”

Section: Introductionmentioning

confidence: 99%

PID Control Of DC Motor Using Particle Swarm Optimization (PSO) Algorithm

Moghaddas¹,

Dastranj²,

Changizi³

et al. 2010

J. Math. Computer Sci.

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Wide amplitude, DC motor's speed and their facile control cause its great application in industries. Generally the DC motors gain speed by armature voltage control or field control. The suggestion method in this paper is using PSO Algorithm for regulation parameter PID control of DC motors. The Algorithm PSO using by defining the fitness functions so that the minimum error and overshoot design is easy to implement.

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“…The fuzzy logic controller, work of Paul-l-Hai Lin et al [6], has a resemblance to this application. Their work describes a comparison between a standard PID controller and the fuzzy logic controller on DC motor position control.…”

Section: Introductionmentioning

confidence: 97%

ARM-Cortex microcontroller fuzzy position control on an automatic door test-bed

Hanzic

Šafarič

2010

19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)

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This paper describes an application of a fuzzy logic[1] implementation on an ARM-Cortex microcontroller. The microcontroller with integrated fuzzy logic was tested on motor position and speed control application. Fuzzy logic is a subtype of multi-valued logic and can be used in combination with other controller types (PI, PID, neural networks, genetic algorithms, etc.). The microcontroller is the core, or the "brains", of the device. Complex devices include two or more microcontrollers that exchange data via various communication protocols. Each microcontroller has integrated software, which represents the "mind" of the microcontroller. Without software, the microcontroller is just a useless electronic component. The software represents fuzzy logic, which controls the motor position in this application. The microcontroller's software is often written in the C programming language. Expression often means that there are available more programming languages. Position control has a closed loop, meaning that the position of the motor is regulated to a reference position if the motor load is changing. The first goal of this application is to write a C language source code for a fuzzy logic inference engine for the ARM Cortex M3 microcontroller. The second goal is to test this fuzzy logic inference engine on an automatic door for position control with combination of PI speed controller. The last goal is to analyze the automatic door behavior with fuzzy logic controller by variable door wing weight.

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Comparison on fuzzy logic and PID controls for a DC motor position controller

Cited by 22 publications

References 10 publications

Implementación en un laboratorio virtual de un sistema teleoperado en configuración maestro esclavo con comunicación basada en el protocolo TCP/IP

Implementación en un laboratorio virtual de un sistema teleoperado en configuración maestro esclavo con comunicación basada en el protocolo TCP/IP

PID Control Of DC Motor Using Particle Swarm Optimization (PSO) Algorithm

ARM-Cortex microcontroller fuzzy position control on an automatic door test-bed

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