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Journal articles on the topic 'Matlab\Simulink and PID control'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

TEPPA-GARRAN, Pedro, Fabian Arzola, and Elias Elyas. "Ajuste óptimo de controladores PID mediante Matlab/Simulink." Anales de Ciencias Básicas, Físicas y Naturales, no. 37 (November 17, 2023): 15–32. http://dx.doi.org/10.58479/acbfn.2021.20.

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Se desarrolla un método de sintonización de controladores PID basado en un diseño óptimo utilizando la plataforma Matlab/Simulink. Esto permite, mediante el empleo de las poderosas herramientas provistas por Matlab/Simulink, transformar muchos problemas de control óptimo en un problema de optimización convencional. Para luego realizar la sintonización óptima de los parámetros de un controlador PID, de una manera sencilla, a través de los métodos numéricos provistos por Matlab. Estos métodos, si bien no suministran elegantes soluciones analíticas, pueden ser extremadamente poderosos para aporta

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2

Maghfiroh, Hari, Musyaffa’ Ahmad, Agus Ramelan, and Feri Adriyanto. "Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink." Journal of Robotics and Control (JRC) 3, no. 1 (2021): 8–13. http://dx.doi.org/10.18196/jrc.v3i1.10964.

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Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and fr

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3

Erwani, Merry Sartika, Rudi Sarjono T., and Dwi Saputra Diki. "Prediction of PID control model on PLC." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 529–36. https://doi.org/10.12928/TELKOMNIKA.v17i1.11589.

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PID (Proportional Integral Derivative) is a control algorithm that mostly used in industry. However, users have never known what the PID model that used inside the PLC. By knowing the PID model that used in PLC, users will have more choice in determining the more appropriate tuning algorithm. Also, users can use MATLAB to perform analysis and can implement it to PLC. Through OPC Server (Object Linking and Embedding for Process Control Server) as a software interface, programs on a windows operating system can communicate with industry devices universally. PID model prediction method is done by

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4

Li, Dong Mei, Lan Shen Guo, and Cheng Hu Zhang. "Research on Tension Control with Fuzzy PID Control in the Low Relaxation PC Strand Wire Based on Mechanical Automation." Advanced Materials Research 738 (August 2013): 280–86. http://dx.doi.org/10.4028/www.scientific.net/amr.738.280.

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The wire drawing quality fit and unfit quality, mainly rely on the wire drawing production line tension control is good or bad. According to the drawing process has a "lag", "nonlinear" features ,proposed uses the adaptive fuzzy PID control algorithm for ensuring a constant tension in the drawing process.Using the fuzzy control online real-time to adjust PID three controlled variable. In the MATLAB simulation, comparing with the conventional PID control to show that the fuzzy PID control of drawing tension system can maintain better constant.Keywords: Fuzzy adaptive PID, MATLAB-Simulink, Tensi

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5

Visioli, Antonio. "PID Control System Design and Automatic Tuning Using MATLAB/SIMULINK [Bookshelf]." IEEE Control Systems 41, no. 3 (2021): 99–100. http://dx.doi.org/10.1109/mcs.2021.3062959.

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6

Usman, Omeiza Ahmed, Avong Patrick Ayuba, and Amough Kwembe Benjamin. "DC Motor Speed Control using Internal Model Controller: Industrial Transformation Strategy." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 300–360. https://doi.org/10.35940/ijeat.E9319.069520.

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In developed nations, industries are made to function at control engineering costs via the use of appropriate control schemes for dc motors. This paper introduces the role played by dc motors in industries thereby necessitating the analysis and performance validation of dc motor in Internal Model Control (IMC) scheme as against the Proportional– Integral–Derivative (PID) control schemes that is widely used in most industries. Theories on dc motor model, PID and IMC controller were detailed to paved the way for the methodical approach of getting specifications and transfer function

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7

Liao, Yan Fen, Shao De Guo, Guang Yang, and Xiao Qian Ma. "Fuzzy Control of Deaerator Water-Level in Nuclear Power Station Based on MATLAB/Simulink." Applied Mechanics and Materials 291-294 (February 2013): 2397–402. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2397.

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Deaerator system was one of major components in nuclear power station, and the deaerator water level control was important for safe and stable operation of the nuclear power station. The deaeration system was difficult multi variables process system, which was strong coupling between water-level and pressure. In this paper, a self-tuning fuzzy PID controller was designed based on PID control and fuzzy control theory, which instead of PID controller to control deaerator water-level. Simulation based on Simulink, simulation results showed that the overshoot was 40% by using traditional PID contr

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8

Chen, Jian Wen, Zhan Jun He, Jin Chun Song, and Chang Jian Pang. "Simulation of Fuzzy Self-Turning PID Control Based on Simulink." Applied Mechanics and Materials 52-54 (March 2011): 1644–49. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1644.

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In CNC lathe servo feed system, many parameters are uncertain, so it is difficult to establish accurate mathematical model of the feed system, and parameters of conventional PID controller can not change the parameters to adjust with the controlled object. Fuzzy PID controller, which has the advantages of conventional PID control and fuzzy control, can solve these problems very well. So we can make it applied in CNC lathe servo feed system. This paper has made a simulation of fuzzy self-turning PID controller in the MATLAB environment. The simulation shows that the fuzzy self-turning PID contr

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9

Guo, Yaqin. "Research on electric kettle temperature control system based on MATLAB/Simulink." ITM Web of Conferences 47 (2022): 01028. http://dx.doi.org/10.1051/itmconf/20224701028.

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Constant technology control has been widely used in modern agriculture and industry and daily life, control performance affects the safety, the industry productivity and product quality. Based on MATLAB/Simulink software, take the electric kettle as the control object, the simulation model of constant temperature control system is proposed in the paper, the PID controller is used to calibrate the system, and realize constant temperature control of electric kettle. The simulation results show that the PID controller is used to control temperature, which reduces the time of overshooting and adju

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10

Septiawan, Fadlilah Reza, Adnan Rafi Al Tahtawi, and Sofyan Muhammad Ilman. "Control of Bidirectional DC-DC Converter with Proportional Integral Derivative." Journal of Fuzzy Systems and Control 2, no. 3 (2024): 164–69. https://doi.org/10.59247/jfsc.v2i3.241.

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In the bidirectional DC-DC converter (BDD converter), power flow is created in two directions. The topology of the converter has two modes: discharge mode and charge mode. In this discussion, control for both modes is done using an external switch. This study discusses points for planning a bidirectional DC-DC converter using the MATLAB / Simulink application and implementing equipment using PID control embedded in the Arduino UNO-type microcontroller device. The converter design in the MATLAB / Simulink application with two modes uses PID control, however, the PID method can only be done in d

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11

Wang, Liang Mo, Li Hua An, Li Tan, Zhi Lin Wu, and Li Li. "The Development of ESP Control System Based on the Fuzzy-PID Control Strategy." Applied Mechanics and Materials 130-134 (October 2011): 1907–10. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1907.

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In this paper, the author primarily established the vehicle dynamics model with seven degrees of freedom by MATLAB / Simulink, which could reflect the longitudinal motion, lateral motion and yaw of the vehicle. Under the environment of MATLAB/Simulink, the Fuzzy PID control system based on yaw and sideslip angle is integrated to the 7-DOF vehicle model. With this model, two kinds of emergency double lane change steering condition of the joint control analysis are carried out to check the effects of the control system on the emergency lane change, passing, avoiding obstacles. The results showed

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12

Li, Yan Qiang, Zhi Gang Yao, and You Lin Xu. "Study on Fuzzy-PID Control Simulation of Diesel Engines Electronic Governor." Applied Mechanics and Materials 331 (July 2013): 263–66. http://dx.doi.org/10.4028/www.scientific.net/amm.331.263.

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In this paper, two types Fuzzy-PID composite control methods were studied. The Fuzzy-PID alternately control and parallel connection control were simulated by MATLAB SIMULINK. The simulation conclusions were that Fuzzy-PID composite control effect was better than FUZZY control or PID control, and Fuzzy-PID parallel connection control effect was better than alternately control on diesel engine speed regulation.

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13

Sutrisno, Imam, Yuning Widiarti, Projek Priyonggo, et al. "Underwater Remotely Operated Vehicle Control System Ar-chitecture." Indonesian Journal of Innovation Multidisipliner Research 2, no. 2 (2024): 218–24. http://dx.doi.org/10.69693/ijim.v2i2.132.

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Underwater Remotely Operated Vehicle (ROV) control system architecture, work Class II - underwater inspection is demonstrated. The object is programmed on MATLAB simulink. The nonlinear modeled plants were processed by approximation way. Author planned a controller of an underwater ROV object. PID controller is used modeled plant. Tuning PID tool is used MATLAB for choose underwater ROV controller. Researchers tested an underwater ROV for system and solving problems an underwater ROV architecture.

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14

Nguyen, Thi-Ai-Van, Minh-Truong Nguyen, Duy-Khanh Nguyen, et al. "PID Control for Heating Oven by Matlab-Embedded Arduino." Robotica & Management 28, no. 1 (2023): 36–42. http://dx.doi.org/10.24193/rm.2023.1.5.

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The heating oven is a basic and easy-to-build model for exchanging and heating various types of engine equipment that require the use of thermal energy. In addition, this is also a model used in research in laboratories using basic algorithms such as PID. However, in the past, to control the heating oven, we needed to use expensive PLCs and microprocessors, and it was difficult to write programs. Recently, there are many studies that have succeeded in getting the program into the Arduino using C. Programming and this method requires the operator to have a lot of programming knowledge. To solve

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15

Zhang, Hai Yan, and Li Xiang Zhang. "The Simulation on Double Tank Water Level Control Based MATLAB." Applied Mechanics and Materials 217-219 (November 2012): 1435–39. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.1435.

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The paper aims at the simulation on double tank water level control based on MATLAB .Double tank water level control belongs to large time delay system. In this paper, adopted PID method to control the system, Then, fuzzy PID control method was used to adjust this second-order system. And the simulation model of this system is built with MATLAB Fuzzy and SIMULINK. And at the end, analysis the system stability ,reaction velocity and so on.

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16

Peng, Jun, Jun Wei Lei, and Di Liu. "The PID Control Stability Analysis and Simulation of Missile Posture Inner Loop Based on Simulink." Applied Mechanics and Materials 644-650 (September 2014): 150–53. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.150.

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For posture angle tracking problem of missile pitch channel linear model, PID controller is designed. Programming implementation issues is studied based on simulink. The open-loop transfer function calculation method which contains PID controller is put forward by using matlab. The bode diagram of system is worked out. The judgment method of analysing system stability is put forward based on simulink.

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17

Huang, Fei, Yi Luo, and Yi Yao. "Fuzzy PID Temperature Control in Manufacturing Engineering." Advanced Materials Research 323 (August 2011): 162–66. http://dx.doi.org/10.4028/www.scientific.net/amr.323.162.

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This paper introduces the basic concept of fuzzy PID in manufacturing engineering, and the system of temperature control is analyzed, and the temperature is designed with correction factor and the optimized parameters with the application of the fuzzy general MATLAB in simulink toolbox, the temperature is designed by comparing fuzzy PID output with raditional output, the system has the characteristic of quick response, short setting time, small overshoots, and high control precision.

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18

Nawfal Mustafa, Mohanad. "Simulation of electromagnetic suspension functioning processes in the MATLAB/Simulink system." Journal of Physics: Conference Series 2060, no. 1 (2021): 012028. http://dx.doi.org/10.1088/1742-6596/2060/1/012028.

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Abstract In various fields of technology, the electromagnetic method of suspending various elements has a number of advantages, but the limits of the stability of the system and the justification of its optimal parameters require additional research. According to the well-known Irnshaw theorem, in technical applications, there are certain limitations on solving the engineering problem of stable suspension of moving bodies using electric or magnetic fields, often in combination with a gravitational field. An effective way to solve the problem of ensuring the stability of electromechanical syste

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19

Mammadova, Afaq. "MODELING AND RESEARCH CONTROL SYSTEMS WITH USING PID CONTROLLER." Journal of Modern Technology and Engineering 9, no. 1 (2024): 124–29. http://dx.doi.org/10.62476/jmte9124.

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. Recently, digital technologies and software packages as MATLAB and MATCAD are widely used for modeling and research of control systems. When analyzing and synthesizing the control system, ”manual” operations do not allow one to cover fully the systematic approach both from the constructive and computational points of view. The most widely used in practice and at the same time simplest control device is the linear PID controller. However, computer modeling and digital studies of this controller are not at the required level. This paper reveals some features of the functioning of a linear digi

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20

Chen, Zhen, Yan Mei Liu, Zhao Hui Liu, Xiao Yu Liu, and Tian Ming Song. "Intelligent Controller Design for Nonlinear Piezoelectric Smart Actuators." Applied Mechanics and Materials 635-637 (September 2014): 1447–50. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1447.

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Nonlinear characteristic hinder the effective use of piezoelectric smart materials in sensors and actuators. In this paper, the intelligent fuzzy PID controller is designed in the Matlab-Simulink environment. The piezoelectric smart actuator model is built. An adaptive fuzzy PID control scheme was proposed. The proposed control scheme was implemented in Matlab. The results of simulation and experiment indicate that the control method has good control ability.

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21

Salman, Jasim Hammoodi, Sayegh Flayyih Kareem, and Refaat Hamad Ahmed. "Design and implementation speed control system of DC Motor based on PID control and Matlab Simulink." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 1 (2020): 127–34. https://doi.org/10.11591/ijpeds.v11.i1.pp127-134.

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In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described, that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constan

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22

Wang, Hui, and Zhuo Xu. "Simulation Research on Fuzzy Adaptive PID Control of Variable Pump Control System." Applied Mechanics and Materials 220-223 (November 2012): 880–83. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.880.

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According to the problem of large overshoot in the variable pump constant pressure output, the fuzzy controller and PID controller were combined. The dynamic response of system output pressure was obtained by combining simulation with a fuzzy adaptive PID controller designed in Matlab/Simulink and mechanical hydraulic model established in AMESim. The simulation results show that fuzzy PID control can achieve the goal of system response without overshoot, and response speed is improved further. The anti-interference ability is also stronger.

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23

Cukdar, Ibrahim, Tevfik Yigit, and Hakan Celik. "Balance Control of Brushless Direct Current Motor Driven Two-Rotor UAV." Applied Sciences 14, no. 10 (2024): 4059. http://dx.doi.org/10.3390/app14104059.

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In this study, the balance control of a Brushless Direct Current Motor (BLDCM) driven Two-Rotor UAV (2R-UAV) was carried out. First, a MATLAB/Simulink model of the balance system of the 2R-UAV was built. Afterwards, classical and 2-DOF PID, and proposed Adaptive Fuzzy (AF) 2-DOF PID control structures were created on the STM32F4 microprocessor for both balance angle of the system and speed control of the BLDCMs. Classical and 2-DOF PID controller parameters were determined via Particle Swarm Optimization (PSO), a technique that is commonly used in control applications. For the balance control

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24

Dang, Bao Ying. "Study on the Control of Anti-Lock Braking System Simulation Based on Fuzzy PID Control." Advanced Materials Research 950 (June 2014): 239–44. http://dx.doi.org/10.4028/www.scientific.net/amr.950.239.

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This paper presents a single wheel model which can make the car to maintain linear motion during braking based on elaborating control mechanism of Anti-lock Braking System (ABS). PID control and fuzzy PID control were used to control the single wheel model. According to the properties of PID control and fuzzy PID control to establish brake model of automobile straight-line-braking by using Matlab software and Simulink module. The results show that fuzzy PID controller presents a better effect and has a better adaptability.

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25

Hammoodi, Salman Jasim, Kareem Sayegh Flayyih, and Ahmed Refaat Hamad. "Design and implementation speed control system of DC Motor based on PID control and matlab simulink." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (2020): 127. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp127-134.

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<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC

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26

Zhang, Sheng Yi, and Xin Ming Wang. "Study of Fuzzy-PID Control in MATLAB for Two-Phase Hybrid Stepping Motor." Applied Mechanics and Materials 341-342 (July 2013): 664–67. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.664.

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two-phase hybrid stepping motor is widely used for driving part in industry controlling, the research for control algorithm applied in stepping motor becomes more and more important. The mathematic model of the two-phase hybrid stepping motor and the structure of Fuzzy-PID controller are detailed, and the simulation model of Fuzzy-PID controller in MATLAB/simulink is also founded. Finally, the simulation is done separately for a conventional PID controller and the Fuzzy-PID controller, and the result shows that the setting time and the maximum overshoot value is greatly reduced for the fuzzy-P

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27

ARROFIQ, MUHAMMAD, LUKMAN SIDIQ NUGROHO, FAHMIZAL FAHMIZAL, and ESA APRIASKAR. "Sistem Kendali Eddy Current Brakes Dinamometer menggunakan Linear Quadratic Regulator (LQR)." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 4 (2021): 923. http://dx.doi.org/10.26760/elkomika.v9i4.923.

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ABSTRAKMakalah ini memberikan analisis perbandingan antara teknik kendali klasik yaitu kendali PID dengan teknik kendali modern pada sistem Eddy current brakes dinamometer. Eddy current brakes merupakan sistem pengereman modern yang membutuhkan sebuah sistem kendali untuk menunjang kinerja pengereman. Selama ini kendali PID lebih sering digunakan, namun di beberapa kondisi dinilai kurang optimal. Dengan demikian, diperlukan pengembangan kendali yang modern dan optimal yaitu full state feedback Linear Quadratic Regulator (LQR). Perbandingan respon waktu pengereman disimulasikan menggunakan Matl

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28

Lin, Xueyan, and Xiaohua Liu. "Modeling and Control of One-stage Inverted Pendulum Body Based on Matlab." Journal of Physics: Conference Series 2224, no. 1 (2022): 012107. http://dx.doi.org/10.1088/1742-6596/2224/1/012107.

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Abstract In this paper, two mathematical models of the primary inverted pendulum are established based on the Simulink and the Simscape toolboxes of the MATLAB respectively. The inverted pendulum changes from the unstable state to the stable state after performing the state feedback control and the PID control method. Under these two control methods, the overshoot of the Simulink model is 57% and 80% smaller, and the adjustment time is 25% and 20% larger than that of the Simscape model. The control effect of the PID method in the two models is better than that of the state feedback method. The

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29

Vo, Minh-Duy, Van-Dat Nguyen, Dac-Hoa Huynh, et al. "Linear Control Schemes for Rotary Double Inverted Pendulum." Robotica & Management 28, no. 1 (2023): 59–67. http://dx.doi.org/10.24193/rm.2023.1.8.

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In this article, the rotary double parallel inverted pendulum (RDPIP) is researched and presented. Additionally, some linear controllers, such as PID, PID, PID-LQR cascade, are proposed, developed to control RDPIP, and the impact of those controllers on the rotary double inverted pendulum was examined. The research and simulation results are implemented in the Matlab/Simulink toolbox to prove the ability of these types of controller in balancing this model.

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Wu, Jin Huang, Jun Wei Lei, Jian Hong Shi, and Di Liu. "The Design and Simulation of Missile Internal and External Loops with Dual PID Control." Applied Mechanics and Materials 644-650 (September 2014): 146–49. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.146.

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A class of height double PID controller based on posture stability is designed in this paper aim at simplified dynamics model of missile pitch channel linearization and simplified model of missile height kinematics link. The implement process of using matlab software simulink toolbox is introduced in detail. Secondly, The transfer function calculating algorithm which solves nonlinear link in simulink using matlab language linmod function is proposed in this paper aim at nonlinear of height kinematics link. Finally, the bode diagram of whole system is obtained and the stability margin of system

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31

Mu, Ji Xiang. "Simulink Simulation of Fuzzy-PID Algorithm and its Application in the Servo Drive System Based on Fuzzy PID Controller." Applied Mechanics and Materials 685 (October 2014): 362–67. http://dx.doi.org/10.4028/www.scientific.net/amm.685.362.

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In this paper, based on fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in motion control system is studied with Matlab Simulink. The results of simulation indicate that the cont roller gives a good control performance and has a high reference value for further applications..

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32

Acuña, Byron, Alexander Ibarra, and Victor Proaño. "Diseño e Implementación de un Sistema Controlador de Temperatura PID para la Unidad Air Flow Temperature Control System Mediante la Utilización de la Herramienta RTW (Real Time Workshop) de Matlab." MASKAY 2, no. 1 (2012): 27. http://dx.doi.org/10.24133/maskay.v2i1.144.

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El presente proyecto "DISEÑO E IMPLEMENTACIÓN DE UN SISTEMA CONTROLADOR DE TEMPERATURA PID PARA LA UNIDAD AIR FLOW TEMPERATURE CONTROL SYSTEM MEDIANTE LA UTILIZACIÓN DE LA HERRAMIENTA RTW (REAL TIME WORKSHOP) DE MATLAB"abarca el estudio de la herramienta RTW en donde se analizó la arquitectura, el algoritmo, el proceso y las etapas en el desarrollo de un modelo en tiempo real por medio del sistema SIMULINK® de MATLAB®, además se realizó una HMI la cuál mediante subsistemas .mdl desarrollados en SIMULINK® permitieron la identificación de la planta, el control PID experimental y la simulación de

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33

Rohman, Fatkhur, and Muhammad Arif Nur Huda. "IMPLEMENTASI DAN ANALISIS KENDALI KECEPATAN PADA MOTOR BLDC 1 KW TANPA BEBAN MENGGUNAKAN ALGORITMA PID." JURNAL ELTEK 17, no. 2 (2019): 94. http://dx.doi.org/10.33795/eltek.v17i2.160.

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Saat ini motor Brushless Direct Current (BLDC) banyak diaplikasikan di berbagai bidang dikarenakan memiliki keunggulan dibandingkan motor Direct Current (DC). Namun, untuk menghasilkan respon kecepatan yang diharapkan, motor BLDC tersebut membutuhkan suatu pengendalian. Salah satu pengendali kecepatan adalah menggunakan algoritma Proporsional, Integral, dan Derivatif (PID). Tujuan penelitian ini adalah untuk merancang kendali kecepatan PID pada motor BLDC 1 kW berbasis arduino uno menggunakan Matlab Simulink, dan untuk mengetahui pengaruh variasi nilai parameter Kp, Ki, Kd terhadap respon kece

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Zhu, Yan Feng. "Research on Intelligent Soft Starting Method for Three-Phase Asynchronous Motor Based on MATLAB." Advanced Materials Research 299-300 (July 2011): 828–31. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.828.

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Considering the very large direct starting current of three-phase asynchronous motor, this paper presents a design method of asynchronous motor soft starter based on a intelligent control- fuzzy adaptive PID control. The simulation model of the soft starting control system is established with the power system blockset in MATLAB/SIMULINK software. The simulation results show that the fuzzy adaptive PID control method can effectively limit the motor starting current and it is better than the control effect of traditional PID control. Therefore, the fuzzy adaptive PID control scheme presented in

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35

Veenalakshmi, S., P. Nedumal Pugazhenthi, and S. Selvaperumal. "Modeling and PID Control of Single Switch Bridgeless SEPIC PFC Converter." Applied Mechanics and Materials 573 (June 2014): 161–66. http://dx.doi.org/10.4028/www.scientific.net/amm.573.161.

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This paper proposes the modeling of Single Ended Primary Inductor Converter (SEPIC) for Power Factor Correction (PFC) and PID control for the converter using various tuning methods. The SEPIC is capable of operating from an input voltage that is greater or less than the regulated output voltage. A small signal dynamic model for SEPIC PFC converter is obtained using state space averaging technique which provides a fifth order transfer function. The complete model of the converter is simulated using MATLAB (SIMULINK). Then the PID controller is designed for the SEPIC PFC converter and various tu

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Meng, Jin Ying, Xi Bin Wang, Zhi Qiang Liang, Jia Jie Pei, and Tian Feng Zhou. "Simulation Research on Fuzzy PID Control for Transmission Shaft Rolling Control System." Applied Mechanics and Materials 543-547 (March 2014): 1355–59. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1355.

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The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s.

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Rashid, Yasir G., and Ahmed Mohammed Abdul Hussain. "Implementing optimization of PID controller for DC motor speed control." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 657. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp657-664.

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The point of this paper presents an optimization technique which is flexible and quick tuning by using a genetic algorithm (GA) to obtain the optimum proportional-integral-derivative (PID) parameters for speed control of aseparately excited DC motor as a benchmark for performance analysis. The optimization method is used for searching for the proper value of PID parameters. The speed controller of DC motor using PID tuning method sincludes three types: MATALB PID tunner app., modified Ziegler-Nicholsmethod and genetic algorithm (GA). PID controller parameters (Kp, Ki and Kd) will be obtained b

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Rashid, Yasir G., and Ahmed Mohammed Abdul Hussain. "Implementing optimization of PID controller for DC motor speed control." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 657–64. https://doi.org/10.11591/ijeecs.v23.i2.pp657-664.

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The point of this paper presents an optimization technique which is flexible and quick tuning by using a genetic algorithm (GA) to obtain the optimum proportional-integral-derivative (PID) parameters for speed control of a separately excited DC motor as a benchmark for performance analysis. The optimization method is used for searching for the proper value of PID parameters. The speed controller of DC motor using PID tuning methods includes three types: MATALB PID tunner app., modified Ziegler-Nichols method and genetic algorithm (GA). PID controller parameters (Kp, Ki 𝑎𝑛𝑑 Kd) will be obtained

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Zeng, Zhi Hui, and Liang Li. "Research on Anti-Swing Control of Bridge Crane Based on Fuzzy Control." Applied Mechanics and Materials 143-144 (December 2011): 293–96. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.293.

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In recent years, with the development of intelligent control theory, fuzzy control theory has been applied to automatic control of the crane. This paper designs fuzzy anti-swing controller based on the nonlinear mathematical model of bridge crane, and MATLAB/Simulink simulation was carried out. The Simulink experiment proves that location fuzzy controller and angle fuzzy controller show the good anti-swing effect compared with conventional PID controller. The two controllers not only improve response speed times but also improve control accuracy.

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Baskoro, Farid, Miftahur Rohman, Dimas Arya S.F, and Aristyawan Putra. "Temperature Control of Focused Beam Lamp: PID-Controlled Pulse Width Modulation using MATLAB Simulink and Arduino." JE-Unisla 9, no. 2 (2024): 97–109. https://doi.org/10.30736/je-unisla.v9i2.1223.

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This research explores the application of PID control on Arduino Uno using MATLAB Simulink to maintain temperature stability in a system. The main advantage of the PID approach is its adaptability to a variety of temperature control scenarios. Through MATLAB Simulink, users can easily optimize PID parameters such as P, I, and D according to system characteristics and specific needs. The three graphs analyzed depict the system response to changes in PID parameters. The first graph shows a moderate response with controlled fluctuations, reaching setpoint at 60 seconds. The second graph shows a d

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Huang, Da Zhi. "Motorcycle's Road Simulation System Based on PID Control." Advanced Materials Research 749 (August 2013): 576–81. http://dx.doi.org/10.4028/www.scientific.net/amr.749.576.

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The application of motorcycles electro-hydraulic servo road simulation system is based on the modeling and the simulating. The model with the systems feature and parameter is finished,and analyzed the closed loop frequency characteristic of the system ,and proved that the simulation met the request of the fact. In the paper,the PID controller is designed based on the Matlab/Simulink. The system is controlled used in PID controller.The precision meet the request of the road status,and the system can reappear the stochastic waveform.

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Ouyang, Ke, Jin Chen, Zhongtao Cao, and Wenqiang Li. "The Simulation of Pose Control for Stewart Platform Based on Gain-Enhanced PID with Generalized Boolean Algebra." Frontiers in Computing and Intelligent Systems 11, no. 1 (2025): 22–28. https://doi.org/10.54097/b4vx7z64.

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Due to the nonlinear and time-varying uncertainties commonly present in practical industrial systems, traditional PID controllers often fail to achieve optimal control performance under significant input variations. This paper proposes a gain-enhanced PID control method optimized by generalized Boolean algebra, applying Boolean algebraic logic control strategies to traditional PID control to improve parameter adaptability and real-time control performance. Using MATLAB/Simulink simulation tools, a dual-loop control simulation model is established for the Stewart platform, incorporating both co

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Yang, Xing Hua, Ting Rui Liu, and Jing Sun. "Optimal PID Control of Heat Exchanger Temperature." Advanced Materials Research 204-210 (February 2011): 21–24. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.21.

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To maintain the outlet temperature at the desired set-point, a high-order outlet temperature control model is established for a shell-and–tube heat exchanger, which is based on the analysis of its heat transfer process and dynamic properties .The Optimal PID control is applied to the temerature control system on the basis of this model, and the tuning parameters of the PID controller are obtained by numerical solving of a formulated optimization problem using Matlab/Simulink. An experimental control system is set up to testify the effect of the optimal PID control. The simulation result and th

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Qasim, Al Azze, and Abdul-Rida Hameed Imad. "Reducing torque ripple of induction motor control via direct torque control." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1379–86. https://doi.org/10.11591/ijece.v13i2.pp1379-1386.

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The induction motor is extremely well known and used as an alternating current (AC) machine. Therefore, torque and speed regulations are very essential for this type of machine. This paper presents direct torque control (DTC) based on induction motors (IM). The mathematical model of IM is reported, and the machine is modeled in a synchronous coordinate farm. Classic DTC is applied to IM with two bandwidths of hysteresis controller for electromagnetic torque and stator flux. The system is simulated and investigated via MATLAB/Simulink and the results carry out a high ripple on the torque. There

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Xu, Rui, Mingge Wu, Yunde Shen, Zhenmu Chen, Haiyan Yin, and Hantao Zou. "Joint Simulation Study of Glass Greenhouse Roof Cleaning Machine Based on Adams and Matlab." Journal of Physics: Conference Series 2558, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1742-6596/2558/1/012017.

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Abstract The glass greenhouse roof cleaning machine is driven by dual motors, and there are problems with machine deflection and inconsistent speed of the two wheels during operation, to solve these problems, a joint simulation method based on Adams and Matlab is used in this project. Firstly, build detailed 3D models using SolidWorks software and Adams software, and set the necessary constraints and material properties for the models; then, the control system is modeled with Fuzzy-Proportion Integration Differentiation (PID) control algorithm in Matlab/Simulink module; finally, a joint simula

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Ao, Mao Yao. "Modeling and Simulation Research of NC Machine Servo System Based on Fuzzy PID Control." Applied Mechanics and Materials 214 (November 2012): 924–28. http://dx.doi.org/10.4028/www.scientific.net/amm.214.924.

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Traditional PID control has not been able to meet the control requirements. This paper has designed one type of Fuzzy PID controller to use in NC Machine Servo System. Simulate the response of Fuzzy PID controller and traditional PID controller by Simulink in MATLAB. The simulation results indicated that the Fuzzy PID controller had quick response speed, strong robustness, high precision and non-overshoot etc. It improved the whole control performance of NC Machine Servo System.

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Kalyani, Salunke, and Shinde Sanjay. "Fuzzy PID Controller Design for Brushless DC Motor." Electrical, Government College of Engineering, Aurangabad, India 4, no. 3 (2021): 1–8. https://doi.org/10.5281/zenodo.5584024.

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<em>Due to high productivity, torque and less volume Brushless DC Motors (BLDCM) are largely used in electric vehicles, robotics, food and chemical industrial applications. Unwanted overshooting, prolonged time of settling as well as vibration when moving from one state to the next are the problems related to control systems. Self-tuning Fuzzy PID and PID control techniques were used to resolve the maximum overshoot and longer settling times in the closed loop regulator architecture. This proposed system offers a very exact and effective speed control system. Speed can be increase or decrease

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Song, Le Peng, and Hua Bin Wang. "The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System." Advanced Materials Research 846-847 (November 2013): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.321.

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As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,t

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Mrs, Khin Ei Ei Khine, Win Mote Mote Htwe Mrs, and Yin Yin Mon Mrs. "Simulation DC Motor Speed Control System by using PID Controller." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 1418–23. https://doi.org/10.5281/zenodo.3591177.

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Speed control system is the most common control algorithm used in industry and has been universally accepted in industrial control. One of the applications used here is to control the speed of the DC motor. Controlling the speed of a DC motor is very important as any small change can lead to instability of the closed loop system. The aim of this thesis is to show how DC motor can be controlled by using PID controller in MATLAB. The development of the PID controller with the mathematical model of DC motor is done using automatic tuning method. The PID parameter is to be test with an actual moto

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Guan, Zheng Qiang, Xiao Ming Luo, and Le Peng Song. "Fuzzy Self-Tuning PID Temperature Control Modeling and Simulation System." Applied Mechanics and Materials 713-715 (January 2015): 854–58. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.854.

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For the current general heating control system tracks the set temperature hysteresis heating device to automatically adjust the real-time problem of poor design a fuzzy self-tuning proportional-integral-derivative (PID) controller parameters. Scoop out using PID control and fuzzy control algorithm combined method; fuzzy PID control parameters are adjusted. Use Matlab to model in simulink, the aryl the controller simulation analysis. The results show that the fuzzy self-tuning PID controller overshoot σ≈l%, steady-state error Island es=0. This method can improve the performance of the temperatu

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