Didactic platform for DC motor speed and position control in Z-plane

Cabrè, Tomàs Pallejà; Vela, Albert Saiz; Ribes, Marcel Tresánchez; Blanc, Javier Moreno; Pablo, Josep Ribó; Sancho, Francisco Clarià

doi:10.1016/j.isatra.2021.02.020

Cited by 16 publications

(5 citation statements)

References 18 publications

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“…Elde edilen sonuçlarla önerilen bulanık mantık kontrolörün klasik bulanık mantık kontrolöre göre, DC motorun hız kontrolünde yüke bağlı bozucularda daha iyi performans sağladığı gösterilmiştir. Bulanık mantık tabanlı kontrolör uyarlamalı yöntemlerden biri olmasına karşın, kontrol işaretini üretmek için kural tablosunun hazırlanması ve üyelik fonksiyonlarının aralıklarının belirlenmesi uzman kişi tecrübesine ihtiyaç duyduğu için oldukça zordur [15]. [16]'da yapay sinir ağları hem deneysel veriler üzerinden DC motoru modellemede hem de motorun hız kontrolü için kullanılmıştır.…”

Section: Düzce üNiversitesi Bilim Ve Teknoloji Dergisiunclassified

Lyapunov Tabanlı PI Kontrolör İle DC Motorun Hız Kontrolü

Aygun

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Bu çalışmada DC motorların hız kontrolü için Lyapunov tabanlı PI kontrolör önerilmektedir. Önerilen yöntemde, PI kontrolör ile elde edilen kontrol sinyalinin kararlı hal durumunda değişmediği varsayılarak, kontrol sinyalinin zamana göre türevi sıfıra eşitlenir ve Lyapunov fonksiyonu kullanılarak sistemin asimptotik kararlılığı garanti edilir. Önerilen kontrolör, parametreleri Ziegler Nichols yöntemi ile ayarlanan klasik PI kontrolör ile karşılaştırılmaktadır. DC motorun benzetimi MATLAB programı ile gerçekleştirilmiş olup, benzetim sonuçları önerilen Lyapunov tabanlı PI kontrolörün klasik PI kontrolöre göre hem değişken referans hız takibinde hem de değişken yük koşulları altında daha etkili olduğunu göstermektedir.

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Section: Düzce üNiversitesi Bilim Ve Teknoloji Dergisiunclassified

Lyapunov Tabanlı PI Kontrolör İle DC Motorun Hız Kontrolü

Aygun

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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“…PID control involves using feedback to continuously adjust control inputs based on the disparity between the desired motor speed and its actual speed. Researchers have explored various approaches to fine-tune PID parameters for achieving improved performance [6,19,10]. Fuzzy logic control is a control technique used to regulate DC motors and other systems 183 by incorporating human-like reasoning and linguistic variables.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Fuzzy Logic Controller Algorithms with MF optimization on FPGA

Ahmed,

Kourd Yahia

2023

Stat., optim. inf. comput.

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In this work, we propose the design and implementation of a parallel-structured fuzzy logic controller with integral action and anti-windup. The Grey Wolf Optimization (GWO) optimization technique is used to optimize fuzzy rules, which allows for the complicated algebraic ideas of type 1 fuzzy logic algorithms to be reduced to straightforward numerical equations for FPGA target implementation. The techniques for operating a geared DC motor are optimized by the membership function structure of our controller's data propagation. Our proposed controller was implemented in Xilinx System Generator (XSG) and co-simulated on hardware and software with VIVADO and XSG tools.

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“…PLC has been used in many systems such as in battery management systems [17], Induction motor [18], Magnetic levitation systems [19], Biodiesel [20], Rubber Drying Machine [21], Smart Home systems [22], Liquid Level Control [23], Solar Power System [24]. PID has been used to control Magnetic levitation system [25], DC Motor [26][27], Hydraulic Transplanting Robot [28], Biomass Microwave [29], wind turbine [30], Hydroxy Generator [31], Mobile Robots [32], robot manipulators [33], UAV [34]. Some of these explanations are used to underlie in designing a Stirring System for Automatic Coffee Makers Using OMRON PLC and PID Control using PIDAT(191) instructions to control motor speed.…”

Section: Introductionmentioning

confidence: 99%

Stirring System Design for Automatic Coffee Maker Using OMRON PLC and PID Control

Setiawan

Ma’arif

2021

IJRCS

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The implementation of the use of PLC in this study was designed for a small scale in the process of stirring coffee drinks at a speed of 600 RPM. To get a stable speed so that the water does not overflow, a control system is needed. To get optimal results, a system design that can control the stirring speed is arranged automatically using a Programmable Logic Controller (PLC). This system is designed using a rotary encoder sensor C38S6G5-600B-G24N as a speed reader obtained from the movement of the motor, DC Motor JGA25-370 12V as an actuator or stirrer. PLC OMRON CP1E-NA20DR-A is used as a motor speed control device using the Proportional Integral Derivative (PID) algorithm to control the system according to the setpoint entered. The motor speed control system with the PID algorithm shows a system response that works well according to the researchers' expectations. The response of the system obtained is fast enough to achieve a stable speed with a small overshoot value. Thus this system was successfully designed to control the stirring process of coffee drinks automatically and produce stable stirring by giving a set point of 600 RPM at the parameter constant Proportional band is 720%; Integral time is 1.6s; and Derivative time is 0.2s with a rise time value is 1.3s; settling time is 11s; overshoot is 1.1%; and steady-state error is 0.5%.

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Didactic platform for DC motor speed and position control in Z-plane

Cited by 16 publications

References 18 publications

Lyapunov Tabanlı PI Kontrolör İle DC Motorun Hız Kontrolü

Lyapunov Tabanlı PI Kontrolör İle DC Motorun Hız Kontrolü

Implementation of Fuzzy Logic Controller Algorithms with MF optimization on FPGA

Stirring System Design for Automatic Coffee Maker Using OMRON PLC and PID Control

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