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Journal articles on the topic 'Proportional-integral-derivative (PID) controllers'

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1

Patil, Manoj D., K. Vadirajacharya, and Swapnil Khubalkar. "Design of fractional order controllers using constrained optimization and reference tracking method." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (2020): 291. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp291-301.

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In recent times, fractional order controllers are gaining more interest. There are several fractional order controllers are available in literature. Still, tuning of these controllers is one of the main issues which the control community is facing. In this paper, online tuning of five dierent fractional order controllers is discussed viz. tilted proportional-integral-derivative (T-PID) controller, fractional order proportional-integral (FO-PI) controller, fractional order proportional-derivative (FO-PD) controller, fractional order proportional-integral-derivative (FO-PID) controller. A refere
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2

Eltayeb, Ahmed, Gamil Ahmed, Imil Hamda Imran, Nezar M. Alyazidi, and Ahmed Abubaker. "Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization." Automation 5, no. 3 (2024): 230–45. http://dx.doi.org/10.3390/automation5030014.

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This paper presents a comparative analysis of a fractional-order proportional–integral–derivative (FO-PID) controller against the standard proportional–integral–derivative (PID) controller, applied to a nonlinear robotic arm manipulator systems. The genetic algorithm (GA) optimization method was implemented to tune the gain parameters of the FO-PID and PID controllers. The performance of the FO-PID and PID controllers were evaluated though different cost functions, including integral of squared error (ISE), integral of absolute error (IAE), integral of time-weighted absolute error (ITAE), and
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3

Manoj, D. Patil, Vadirajacharya K., and Khubalkar Swapnil. "Design of fractional order controllers using constrained optimization and reference tracking method." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 1 (2020): 291–301. https://doi.org/10.11591/ijpeds.v11.i1.pp291-301.

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In recent times, fractional order controllers are gaining more interest. There are several fractional order controllers are available in literature. Still, tuning of these controllers is one of the main issues which the control community is facing. In this paper, online tuning of five different fractional order controllers is discussed viz. tilted proportionalintegral- derivative (T-PID) controller, fractional order proportional-integral (FO-PI) controller, fractional order proportional-derivative (FO-PD) controller, fractional order proportional-integral-derivative (FO-PID) controller. A refe
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4

Zafar, Farhan, Suheel Abdullah Malik, Tayyab Ali, et al. "Metaheuristic Optimization Algorithm Based Cascaded Control Schemes for Nonlinear Ball and Balancer System." Processes 12, no. 2 (2024): 291. http://dx.doi.org/10.3390/pr12020291.

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The ball and balancer system is a popular research platform for studying underactuated mechanical systems and developing control algorithms. It is a well-known two-dimensional balancing problem that has been addressed by a variety of controllers. This research work proposes two controllers that are proportional integral derivative-second derivative-proportional integrator (PIDD2-PI) controller and tilt integral derivative with filter (TID-F) controller in a multivariate, electromechanical, and nonlinear under-actuated ball and balancer system. Integral Time Absolute Error (ITAE) is an objectiv
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5

Joyo, M. Kamran, Yarooq Raza, S. Faiz Ahmed, et al. "Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot." Electronics 8, no. 8 (2019): 826. http://dx.doi.org/10.3390/electronics8080826.

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This paper proposes a nature inspired, meta-heuristic optimization technique to tune a proportional-integral-derivative (PID) controller for a robotic arm exoskeleton RAX-1. The RAX-1 is a two-degrees-of-freedom (2-DOFs) upper limb rehabilitation robotic system comprising two joints to facilitate shoulder joint movements. The conventional tuning of PID controllers using Ziegler-Nichols produces large overshoots which is not desirable for rehabilitation applications. To address this issue, nature inspired algorithms have recently been proposed to improve the performance of PID controllers. In t
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6

Hagiwara, Takaaki, Kou Yamada, Satoshi Aoyama, and An Chinh Hoang. "The parameterization of all plants stabilized by a Proportional-Derivative controller." ECTI Transactions on Electrical Engineering, Electronics, and Communications 10, no. 1 (2011): 38–47. http://dx.doi.org/10.37936/ecti-eec.2012101.170456.

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In this paper, we examine the parameterization of all plants stabilized by a proportional-derivative (PD) controller. A PD controller is a kind of Proportional- Integral-Derivative (PID) controllers. PID controller structure is the most widely used one in industrial applications. Recently, if stabilizing PID controllers for the plant exist, the parameterization of all stabilizing PID controllers has been considered. However, no paper examines the parameterization of all plants stabilized by a PID controller. In this paper, we clarify the parameterization of all plants stabilized by a PD contro
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7

Sánchez-López, Carlos, and Oscar Ruíz-Serrano. "Design of an Arbitrary-Order PID Controller for a Pneumatic Levitation System." Memorias del Congreso Nacional de Control Automático 6, no. 1 (2023): 307–12. http://dx.doi.org/10.58571/cnca.amca.2023.053.

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In this paper, an arbitrary-order proportional-integral-derivative controller is designed to control a pneumatic levitation system. To do it, an integer-order proportional-integral-derivative controller is tuned using the Matlab/Simulink PID Tuning block. Subsequently, the Curve-Fitting method is applied to approximate the behavior of the arbitrary-order of the integral and derivative part associated with the arbitrary-order controller. The proportional, integral and derivative gains obtained from the integer-order controller are used during the design of the arbitrary-order controller. Numeri
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8

Ab Rahman, Nur Naajihah, Nafrizuan Mat Yahya, and Nurul Umiza Mohd Sabari. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98. http://dx.doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzzy Simulink toolbox. Real
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9

Hagiwara, Takaaki, Kou Yamada, Satoshi Aoyama, and An Chinh Hoang. "The Parameterization of All Plants Stabilized by Proportional Controller Formultiple-Input/Multiple-Output Plant." Key Engineering Materials 497 (December 2011): 246–54. http://dx.doi.org/10.4028/www.scientific.net/kem.497.246.

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In this paper, we examine the parameterization of all plants stabilized by a proportionalcontroller for multiple-input/multiple-output plant. A proportional controller is a kind of Proportional-Integral-Derivative (PID) controllers. PID controller structure is the most widely used one in industrialapplications. Recently, if stabilizing PID controllers for the plant exist, the parameterization of allstabilizing PID controllers has been considered. However, no paper examines the parameterizationof all plants stabilized by a PID controller. In this paper, we clarify the parameterization of all pl
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10

Kim, Seng Chia. "Ziegler-Nichols Based Proportional-Integral-Derivative Controller for a Line Tracking Robot." Indonesian Journal of Electrical Engineering and Computer 9, no. 1 (2018): 221–26. https://doi.org/10.11591/ijeecs.v9.i1.pp221-226.

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Line tracking robots have been widely implemented in various applications. Among various control strategies, a proportional-integral-derivative (PID) algorithm has been widely proposed to optimize the performance of a line tracking robot. However, the motivation of using a PID controller, instead of a proportional (P) or a proportional-integral (PI) controller, in a line tracking task has seldom been discussed. Particularly, the use of a systematic tuning approach e.g. closed loop Ziegler Nichols rule to optimize the parameters of a PID controller has rarely been investigated. Thus, this paper
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11

Hagiwara, Takaaki, Kou Yamada, An Chinh Hoang, and Satoshi Aoyama. "The Parameterization of All Plants Stabilized by a PID Controller." Key Engineering Materials 534 (January 2013): 173–81. http://dx.doi.org/10.4028/www.scientific.net/kem.534.173.

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In this paper, we examine the parameterization of all plants that can be stabilizedby a Proportional–Integral–Derivative (PID) controller. The PID controller structure is themost widely used controller structure in industrial applications. Recently, if stabilizing PIDcontrollers for the plant exist, the parameterization of all stabilizing PID controllers was considered.However, the parameterization of all plants that can be stabilized by a PID controllerhas not been examined. In this paper, we clarify this question. In addition, we present theparameterization of all stabilizing PID controllers
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12

Hussain Mahammad, Majahar, and Chekka Ravi Kumar. "A novel meta-heuristic algorithm based optimized load frequency controller." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1239. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1239-1247.

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This work proposes a 2-degree-of-freedom proportional-integral-double-derivative (2-DOF PIDD) controller to improve frequency profiles of an IEEE 39 bus 10 generator 3 area New England interconnected power system during step load perturbations. To increase the system’s dynamic response, parallel derivative components are used in the secondary controller mechanism, and comparisons are made with proportional, integral and derivative (PID) and 2-DOF PID controllers to illustrate the advantage of the proposed controller scheme. The ideal gain values of the PID, 2-DOF PID, and 2-DOF PIDD controller
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13

Alkargole, Hazim M., Abbas S. Hassan, and Raoof T. Hussein. "Analyze and Evaluate the Performance Velocity Control in DC Motor." Radioelectronics. Nanosystems. Information Technologies 12, no. 4 (2020): 507–16. http://dx.doi.org/10.17725/rensit.2020.12.507.

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A mathematical model of controlling the DC motor has been applied in this paper. There are many and different types of controllers have been used with purpose of analyzing and evaluating the performance of the of DC motor which are, Fuzzy Logic Controller (FLC), Linear Quadratic Regulator (LQR), Fuzzy Proportional Derivative (FPD) ,Proportional Integral Derivative (PID), Fuzzy Proportional Derivative with integral (FPD plus I) , and Fuzzy Proportional Integral (FPI) with membership functions of 3*3, 5*5, and 7*7 rule bases. The results show that the (FLC) controller with 5*5 rule base provides
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14

Chia, Kim Seng. "Ziegler-Nichols Based Proportional-Integral-Derivative Controller for a Line Tracking Robot." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 221. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp221-226.

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<p>Line tracking robots have been widely implemented in various applications. Among various control strategies, a proportional-integral-derivative (PID) algorithm has been widely proposed to optimize the performance of a line tracking robot. However, the motivation of using a PID controller, instead of a proportional (P) or a proportional-integral (PI) controller, in a line tracking task has seldom been discussed. Particularly, the use of a systematic tuning approach e.g. closed loop Ziegler Nichols rule to optimize the parameters of a PID controller has rarely been investigated. Thus, t
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15

Ang, Ling Yuen, and Fairul Azni Jafar. "Simulation Analysis of Non-Linear Fuzzy PID Temperature Controller." Applied Mechanics and Materials 465-466 (December 2013): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.677.

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The objectives of the project are to simulate linear Mamdami type fuzzy temperature controller and non-linear Takegi-Sugeno type fuzzy temperature controllers using MATLAB and Simulink, and to compare the performance between the two controllers. A case study has been created to test the controllers involved a water boiler, where the system is modeled using Joules Law and Law of Thermodynamics. A Proportional-Integral-Derivative (PID) controller was tuned and the PID parameters were then used to obtain the gain of the fuzzy controllers. Simulation results confirmed that non-linear fuzzy control
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16

Mahammad, Majahar Hussain, and Chekka Ravi Kumar. "A novel meta-heuristic algorithm based optimized load frequency controller." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1239–47. https://doi.org/10.11591/ijeecs.v28.i3.pp1239-1247.

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This work proposes a 2-degree-of-freedom proportional-integral-doublederivative (2-DOF PIDD) controller to improve frequency profiles of an IEEE 39 bus 10 generator 3 area New England interconnected power system during step load perturbations. To increase the system’s dynamic response, parallel derivative components are used in the secondary controller mechanism, and comparisons are made with proportional, integral and derivative (PID) and 2-DOF PID controllers to illustrate the advantage of the proposed controller scheme. The ideal gain values of the PID, 2-DOF PID, and 2-DOF PIDD contr
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17

Tabak, Abdulsamed. "A novel fractional order PID plus derivative (PIλDµDµ2) controller for AVR system using equilibrium optimizer". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 40, № 3 (2021): 722–43. http://dx.doi.org/10.1108/compel-02-2021-0044.

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Purpose The purpose of this paper is to improve transient response and dynamic performance of automatic voltage regulator (AVR). Design/methodology/approach This paper proposes a novel fractional order proportional–integral–derivative plus derivative (PIλDµDµ2) controller called FOPIDD for AVR system. The FOPIDD controller has seven optimization parameters and the equilibrium optimizer algorithm is used for tuning of controller parameters. The utilized objective function is widely preferred in AVR systems and consists of transient response characteristics. Findings In this study, results of AV
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18

Raheem, Raghda S., Mohammed Y. Hassan, and Saleem K. Kadhim. "Simulation Design of Blood-pump Intelligent Controller Based on PID-like fuzzy logic Technique." Engineering and Technology Journal 38, no. 8A (2020): 1200–1213. http://dx.doi.org/10.30684/etj.v38i8a.534.

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This paper presents a blood pump with a bearingless brushless DC motor, supported by speed, torque, and suspension force controllers. Simulation of the pump motor and its controllers tested by MATLAB/Simulink. Two Proportional plus Integral (PI) controllers are employed for controlling the rotational speed and torque of the motor. For controlling the suspension force a comparative study is presented between the Proportional plus Integral plus Derivative (PID) controller and two inputs PID-like Fuzzy Logic Controller (FLC). A particle swarm optimization technique is used to find the best values
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19

Rasheed, Luay T. "A Comparative Study of Various Intelligent Controllers’ Performance for Systems Based on Bat Optimization Algorithm." Engineering and Technology Journal 38, no. 6A (2020): 938–50. http://dx.doi.org/10.30684/etj.v38i6a.622.

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The aim of this paper is to demonstrate the performance of two intelligent controllers; the proportional-integral-derivative (PID) controller, and the proportional-integral-derivative-acceleration (PIDA) controller, based on optimization algorithm for higher order systems. In this work, bat control algorithm has been utilized to find and tune the optimal weight parameters of the controllers as simple and fast tuning technique to find the best unsaturated state and smooth control action for the systems based on the intelligent controllers. The simulation results using (Matlab Package) show that
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20

Inah, Obi Mathias, D. M. Nazif, Sadik Umar, Fatima Muhammad, and Yakubu Barau Bal. "Performance Comparison of Tilt Integral Derivative (TID) Controller and Proportional Integral Derivative (PID) Controller for Parabolic Dish Antenna System." Mikailalsys Journal of Advanced Engineering International 2, no. 2 (2025): 278–95. https://doi.org/10.58578/mjaei.v2i2.6404.

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This study presents a comparative performance analysis of Proportional-Integral-Derivative (PID) and Tilt-Integral-Derivative (TID) controllers in the context of azimuth positioning for a parabolic dish antenna system. A detailed system model was developed in MATLAB/Simulink, integrating key components such as motor dynamics, amplifier behavior, potentiometer-based feedback, and gear mechanisms. The performance of both controllers was evaluated under ideal conditions and in the presence of environmental disturbances, with wind effects modeled using the Dryden wind turbulence model to simulate
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21

Faiz Ali, Fadya, and Fatma Milad Matoog. "A comparative study between PI, PD and PID controllers to control motor speed." مجلة العلوم والدراسات الإنسانية - كلية الآداب والعلوم – المرج, no. 71 (June 5, 2024): 1–10. http://dx.doi.org/10.37376/jsh.vi71.5722.

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DC Motors are widely used in industries for various purposes. Many situations demand changes in the speed of the DC Motor, and this makes necessity to develop a method to effectively control the speed of DC motor. There are conventional and digital controller types, Proportional Integral (PI), Proportional Derivative (PD), and Proportional Integral Derivative (PID) used to control speed of the DC motor. In this project PI, PD and PID is modeling and simulated in MATLAB SIMULINK to control speed of the DC Motor. Aforementioned Controllers analyzed and evaluated on four terms overshoot, rise tim
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22

Ibrahim, HG. "Mathematical modeling and simulation of control strategies for continuous stirrer tank reactor." Bangladesh Journal of Scientific and Industrial Research 57, no. 3 (2022): 149–62. http://dx.doi.org/10.3329/bjsir.v57i3.62017.

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This study aims to establish a mathematical model for the Continuous Stirred Tank Reactor (CSTR) reactor that exhibits highly nonlinear dynamics and was carried out implemented by model-based conventional and non-conventional controllers for temperature control. The developed controllers were Proportional, Proportional-Integral, Proportional-Derivative, Proportional-Integral-Derivative, Two Degrees of Freedom, and Model Predictive Controller. Then, the controllers were simulated, tuning, and optimized using Matlab®/Simulink®. The response results were compared and the analysis performed. The r
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23

Hemachandran, Veerasamy, Mouttou Arounassalame, and U. Rathidevi. "Design and analysis of improved mountain gazelle optimization tuned PID and FOPID controllers for PV MPPT system." i-manager’s Journal on Electrical Engineering 17, no. 4 (2024): 1. http://dx.doi.org/10.26634/jee.17.4.20985.

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The solar photovoltaic (PV)-based Maximum Power Point Tracking (MPPT) systems have gained popularity in recent times. This work proposes the improvement and implementation of a newly introduced optimization technique, the Improved Mountain Gazelle Optimization (IMGO) algorithm, for tuning the Fractional Order Proportional-Integral-Derivative (FOPID) and Proportional-Integral-Derivative (PID) controllers for the MPPT control strategy. The performances of the controllers were evaluated with reference to error criteria and settling time of the response. The performance parameters mentioned above
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24

Matrood, Mustafa, and Ameen Nassar. "Modeling and Control of Torsional Vibration in Rotating System Using Dual Loop Controllers." Iraqi Journal for Electrical and Electronic Engineering 17, no. 1 (2021): 1–5. http://dx.doi.org/10.37917/ijeee.17.1.2.

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A torsional rotating system is considered for the investigation of passive vibration control using dual loop controllers Proportional-Integral-Derivative (PID) with derivative (D) gain and Proportional – Derivative (PD) with Integral (I) controllers. The controllers are used as low pass filters. Simulation of the models using Matlab-Simulink have been built in this work for torsional vibration control. A comparison between the two controllers with uncontrolled system have been carried out. Results show that the PD – I control is the best method which gives better stability response than the PI
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25

Sivanandhan, Athira, and V. Aneesh. "A Review of Optimisation Algorithms Used in Proportional Integral Controllers (PID) for Automatic Voltage Regulators." ECS Transactions 107, no. 1 (2022): 5927–34. http://dx.doi.org/10.1149/10701.5927ecst.

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The voltage in electrical grids is maintained at its nominal value by automatic voltage regulators (AVR). In AVR systems, proportional-integral-derivative (PID) is the most popular controllers due to their robust performance and simplicity. Controlling the parameters of proportional–integral–derivative (PID) controllers, which are used in AVR technology, is a nonlinear optimization problem. Optimization issues are of great importance to both the industrial and scientific worlds. A PID controller's objective function is designed to minimize the settling time, rise time, and overshoot of the ste
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Huba, Mikulas, Pavol Bistak, and Damir Vrancic. "Robust Stability Analysis of Filtered PI and PID Controllers for IPDT Processes." Mathematics 11, no. 1 (2022): 30. http://dx.doi.org/10.3390/math11010030.

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The paper discusses the stability and robustness of the proportional-integral (PI), proportional-integral-derivative (PID), and proportional-integral-derivative-accelerative (PIDA) controller for the integral-plus-dead-time (IPDT) plants. To enable the implementation and measurement of noise attenuation, binomial low-pass filters are added to the traditional design of controllers with ideal transfer functions, and the impact of the low-pass filters on the robust stability of the circuit is studied in detail. The proposed controller tuning, which integrates the suboptimal controller and filter
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27

Abdulnabi, Ahmed. "PID Controller Design for Cruise Control System using Particle Swarm Optimization." Iraqi Journal for Computers and Informatics 43, no. 2 (2017): 30–35. http://dx.doi.org/10.25195/ijci.v43i2.61.

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This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise controlsystem. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have beenselected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has beencompared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm basedPID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settlingtime
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Sambariya, Dhanesh K., and Rajendra Prasad. "Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm." Applied Computational Intelligence and Soft Computing 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/8546108.

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The design of a proportional, derivative, and integral (PID) based power system stabilizer (PSS) is carried out using the bat algorithm (BA). The design of proposed PID controller is considered with an objective function based on square error minimization to enhance the small signal stability of nonlinear power system for a wide range of operating conditions. Three benchmark power system models as single-machine infinite-bus (SMIB) power system, two-area four-machine ten-bus power system, and IEEE New England ten-machine thirty-nine-bus power system are considered to examine the effectiveness
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Fang, Xiao Yan, Li Dan Wang, and Shu Kai Duan. "Adaptive Single-Neuron Proportional-Integral-Derivative Controller Based on Memristor." Applied Mechanics and Materials 284-287 (January 2013): 2205–9. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2205.

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The traditional proportional-integral-derivative (PID) controllers are still the most popular controllers in the majority of manufacturing industries. However, its control parameters are difficult to regulate with the environment changing. The resistance value of the memristor dynamically depends on its charge and flux changing, which can be regarded as a tunable parameter element in the modern control system. In this paper the newest circuit element is applied to replace the synapse weight and realize self-regulation of PID controller parameters with the environment changes in the control net
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Giovanini, L. "Predictive feedback control: An alternative to proportional-integral-derivative control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 223, no. 7 (2009): 901–17. http://dx.doi.org/10.1243/09596518jsce790.

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Even though employed widely in industrial practice, the popular proportional-integral-derivative (PID) controller has weaknesses that limit its achievable performance. In this paper, an alternative control scheme that combines the simplicity of the PID controller with the versatility of model predictive control is presented. The result is a controller that combines the time-delay compensation capability of predictive control algorithms, the effectiveness of inferential control schemes for disturbance rejection, and the adaptation capabilities of switching controllers. The robust stability and
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Wu, Li, and Xue. "A New PID Controller Design with Constraints on Relative Delay Margin for First-Order Plus Dead-Time Systems." Processes 7, no. 10 (2019): 713. http://dx.doi.org/10.3390/pr7100713.

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The maximum sensitivity function as the conventional robustness index is often used to test the robustness and cannot be used to tune the controller parameters directly. To reduce analytical difficulties in dealing with the maximum sensitivity function and improve the control performance of the proportional-integral-derivative controller, the relative delay margin as a good alternative is proposed to offer a simple robust analysis for the proportional-integral-derivative controller and the first-order plus dead-time systems. The relationship between the parameters of the proportional-integral-
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32

Laksono, Heru Dibyo, Dhea Rahmadani Putri, Mumuh Muharam, and Rizki Wahyu Pratama. "Optimization of Frequency Stability in Hydraulic Load Frequency Control Systems Using Controllers with Filters." Andalas Journal of Electrical and Electronic Engineering Technology 4, no. 2 (2024): 91–98. https://doi.org/10.25077/ajeeet.v4i2.141.

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This study meticulously investigates the design and analysis of a Load Frequency Control (LFC) system tailored explicitly for hydraulic power systems by employing diverse configurations of PID controllers, namely Proportional (P), Proportional-Integral (PI), Proportional-Derivative (PD), Proportional-Integral-Derivative (PID), Proportional-Derivative-Fractional (PDF), and Proportional-Integral-Derivative-Fractional (PIDF). The primary objective of this exploration is to improve frequency stability in response to various load fluctuations typical in hydraulic systems. A comprehensive evaluation
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Arfa, Wassim, Jabeur Chiraz Ben, Mourad Fathallah, and Hassene Seddik. "Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy." IAES International Journal of Robotics and Automation 13, no. 2 (2024): 194–204. https://doi.org/10.11591/ijra.v13i2.pp194-204.

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This study addresses timing issues inherent in traditional proportional-integral-derivative (PID) controllers for drone angle control and introduces an innovative solution, the adaptive PID flight controller, aimed at optimizing PID gains for improved performance in terms of speed, accuracy, and stability. To enhance the controller's robustness against noise and accurately estimate the system's state, a Kalman filter is incorporated. This filtering mechanism is designed to reject noise and provide precise state estimation, thereby contributing to the overall effectiveness of the adaptive PID f
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Ayyappan, Dr B. Prakash, Parthiban T, and Barkavi M. "Generation Control of Multi-Area Multi-Source Power System using Fire-Fly Algorithm." International Journal of Innovative Research in Advanced Engineering 11, no. 05 (2024): 573–80. http://dx.doi.org/10.26562/ijirae.2024.v1105.20.

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This article presents automatic generation control (AGC) of an interconnected three area power system having different production sources such as hydropower, thermal and gas power plants. The control areas are provided with single reheat turbine and generation rate constraints of 3%/min. An attempt has been made to apply a Proportional derivative–Proportional integral derivative (PD–PID) cascade controller in AGC. Controller gains are optimized simultaneously using more robust and powerful evolutionary computational technique Firefly Algorithm (FFA). Performance of classical controllers such a
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Kumavat, Mayur, and Sushil Thale. "Analysis of CSTR Temperature Control with PID, MPC & Hybrid MPC-PID Controller." ITM Web of Conferences 44 (2022): 01001. http://dx.doi.org/10.1051/itmconf/20224401001.

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This paper presents an analysis of the continuous stirred tank reactor (CSTR) temperature control with the Proportional-Integral-Derivative (PID) Controller, Model Predictive Controller (MPC) and Hybrid-Model Predictive Controller-Proportional Integral Derivative Controller (MPC-PID). It is the main goal of this project to find a suitable improvement strategy for the system’s stability and accuracy to be more stable. By creating a model, the control system is implemented for all the above mentioned control methods and so comparative analysis is carried out to find the best control method for C
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Raza, Wasim, Dieky Adzikya, Saba Mehmood, et al. "Fuzzy Logic Speed Regulator for D.C. Motor Tuning." JTAM (Jurnal Teori dan Aplikasi Matematika) 8, no. 1 (2024): 36. http://dx.doi.org/10.31764/jtam.v8i1.16919.

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A D.C. motor's rotational speed is regulated in this study using a PID controller and a fuzzy logic controller. In contrast to the fuzzy logic controller, which uses rules based on knowledge and experience, the proportional-integral-derivative (PID) controller requires a mathematical system model. This study investigates the regulation of a DC motor's velocity using PID and fuzzy logic controllers. The PID controller utilizes a mathematical model and parameter tuning by trial and error. Still, the fuzzy logic controller (FLC) operates on rule-based knowledge, enabling it to handle the nonlinea
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Anuja, R., T. S. Sivarani, and M. Germin Nisha. "Fuzzy Fractional Order Proportional Integral Derivative Controller Design for Higherorder Time Delay Processes." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, no. 02 (2023): 327–49. http://dx.doi.org/10.1142/s0218488523500174.

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Process control is the interested domain of interest as the industrial high-order applications require an effective control mechanism with higher robustness. Since the conventional method of proportional integral derivative (PID) controller remains inadequate for the higher-order processes, this research concentrates on the fuzzy fractional-order controllers, that more and more attention nowadays in various research areas of science and engineering specifically, on the areas of tuning, design, implementation, and analysis of these controllers. Accordingly, this research marks a milestone for t
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Babesse, Saad. "Design of Two Optimized Controllers of a Hydraulic Actuator Semi-Active Suspension: A Comparison Study." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4561–65. https://doi.org/10.5281/zenodo.3370757.

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A parallel optimization of Proportional, Integral and Derivative (PID) controller and a sixth order phase lead-lag compensator of a high order naturally oscillatory hydraulic actuator are proposed in this paper. The PID controller parameters (proportional, integral and derivative) and the compensator parameters (gain, poles and zeros) are obtained by minimizing the Integral of Time Absolute Error (ITAE) criterion. The proposed methods are demonstrated through a realistic numerical synthesis example of a hydraulic actuator dedicated to a semi-active suspension modeled by an eighth order transfe
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Babesse, S. "Design of Two Optimized Controllers of a Hydraulic Actuator Semi-Active Suspension: A Comparison Study." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4561–65. http://dx.doi.org/10.48084/etasr.2836.

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A parallel optimization of Proportional, Integral and Derivative (PID) controller and a sixth order phase lead-lag compensator of a high order naturally oscillatory hydraulic actuator are proposed in this paper. The PID controller parameters (proportional, integral and derivative) and the compensator parameters (gain, poles and zeros) are obtained by minimizing the Integral of Time Absolute Error (ITAE) criterion. The proposed methods are demonstrated through a realistic numerical synthesis example of a hydraulic actuator dedicated to a semi-active suspension modeled by an eighth order transfe
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Daraz, Amil, Suheel Abdullah Malik, Ihsan Ul Haq, Khan Bahadar Khan, Ghulam Fareed Laghari, and Farhan Zafar. "Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm." PLOS ONE 15, no. 11 (2020): e0242428. http://dx.doi.org/10.1371/journal.pone.0242428.

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In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FDO) algorithm is employed for the optimization of proposed controller with various performance criteria including Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE). The effectiveness of
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Kumar Srivastava, Arunesh. "Modeling of Self Tuned Fuzzy Proportional Integral Derivative Controller." Journal of Futuristic Sciences and Applications 4, no. 2 (2021): 16–21. http://dx.doi.org/10.51976/jfsa.422103.

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As the number of connections and the complexity of the manipulator system rose, it became more difficult for the control engineers to manage such a manipulator system, requiring the employment of a separate control system to govern the manipulator's position and velocity. Using different mathematical equations, this work investigates a self-tuned fuzzy PID (STFPID) controller that is capable of following trajectories and suppressing noise. A dynamic model for a two-link stiff robotic manipulator has been built in Simulink and used to drive the plant, and the STFPID controller is being used to
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Sweta, Vinay Kumar Deolia, and Jitendra Kumar. "Comparative performance analysis of robust and adaptive controller for three-link robotic manipulator system." Journal of Electrical Engineering 75, no. 4 (2024): 275–84. http://dx.doi.org/10.2478/jee-2024-0034.

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Abstract Three-link robotic manipulator systems (TLRMS) often used in automation industries offer many capabilities, but become very complex in terms of their control and operations. In order to enhance trajectory tracking in the X and Y axes, this study investigates the application of a fractional-order nonlinear proportional, integral, and derivative (FONPID) controller for a three-link robotic manipulator system (TLRMS). Using a cost function that combines the integral of square error (ISE) and the integral of absolute change in controller output (IACCO), the cuckoo search algorithm (CSA) m
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Kanwale, Vaibhav M., Avinash B. Shinde, and N. Vivekanandan. "Comparative Analysis of Controller Effect on Anti-lock Braking System Performance using MATLAB/ Simulink." Journal of Automation and Automobile Engineering 9, no. 2 (2024): 18–42. http://dx.doi.org/10.46610/joaaen.2024.v09i02.003.

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Active safety features aim to avoid or reduce road accidents, in contrast to passive safety features, which are meant to protect occupants after a collision. An Anti-lock Braking System (ABS) is a category of active safety breaking that stops the wheels from locking during a braking action, keeping them in contact with the ground. Different researchers have proposed various control methods for developing the ABS controller. A controller is effective if it reduces stopping distance and time and maintains the desired slip ratio. In this research paper, a quarter-vehicle model is utilized to eval
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K., Sathya, and K. P. Guruswamy. "Analysis of LLC resonant converter performance with PIDD2 controller for electric vehicle application." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 749. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp749-757.

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The key uses of the latest developments is electric vehicles (EV’s). As a result, several researchers were drawn to EV’s control to propose appropriate controllers and predicted that control engineers face a challenge when it comes to regulating the LLC resonant converter output voltage. In this regard, the study proposes a PID Type modified controller for regulation of voltage across output in LLC resonant converter. The design and control procedure of this modified proportional integral derivative double derivative (PIDD2) is explained along with EDF modeling in LLC resonant converter. This
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Sathya, K. K. P. Guruswamy. "Analysis of LLC resonant converter performance with PIDD2 controller for electric vehicle application." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 749–57. https://doi.org/10.11591/ijeecs.v37.i2.pp749-757.

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The key uses of the latest developments is electric vehicles (EV’s). As a result, several researchers were drawn to EV’s control to propose appropriate controllers and predicted that control engineers face a challenge when it comes to regulating the LLC resonant converter output voltage. In this regard, the study proposes a PID Type modified controller for regulation of voltage across output in LLC resonant converter. The design and control procedure of this modified proportional integral derivative double derivative (PIDD2) is explained along with EDF modeling in LLC resonant conv
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Nur, Naajihah Ab Rahman, Mat Yahya Nafrizuan, and Umiza Mohd Sabari Nurul. "Design of a fuzzy logic proportional integral derivative controller of direct current motor speed control." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (2023): 98–107. https://doi.org/10.11591/ijra.v12i1.pp98-107.

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Direct current (DC) motor speed control is useful. Speed can be modified based on needs and operations. DC motors cannot control their speed. To control the DC motor’s speed, a dependable controller is needed. The DC motor speed will be controlled by a fuzzy logic proportional integral derivative controller (FLC-PID). The DC motor circuit’s electrical and mechanical components have been modeled mathematically. Ziegler-Nichols is used to tune the PID controller’s gain parameters. The FLC controller employs 3×3 membership function rules in conjunction with the MATLAB/Fuzz
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47

Dong, Guo Wei, and Ping Yang. "Analysis of Performance of Several Types of Classical Controller in Automatic Generation Control for an Interconnected Power System." Advanced Materials Research 354-355 (October 2011): 964–67. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.964.

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This paper presents automatic generation control (AGC) of interconnected two equal area power system provided with single reheat turbine and generation rate constraints of 3% per minute. This paper also contrasts to control performance of several types of classical controller, include of Integral (I), Proportional – Integral (PI), Integral – Derivative (ID), Proportional – Integral – Derivative (PID), or Integral – Double Derivative (IDD). With 1% step load perturbation in area1, controllers’ performance analysis can be taken by frequency deviation, tie-line power deviation, and input signal o
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Hagiwara, Takaaki, Kou Yamada, An Chinh Hoang, Satoshi Aoyama, and Huo Hui. "The Parameterization of All Plants Stabilizied by a PID Controller for Multiple-Input/Multiple-Output Plants." Key Engineering Materials 596 (December 2013): 158–67. http://dx.doi.org/10.4028/www.scientific.net/kem.596.158.

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In this paper, we examine the parameterization of all plants that can be stabilized bya Proportional–Integral–Derivative (PID) controller for multiple-input/multiple-output plants.The PID controller structure is the most widely used controller structure in industrial appli-cations. Recently, if stabilizing PID controllers for the plant exist, the parameterization of allstabilizing PID controllers was considered. However, the parameterization of all plants that canbe stabilized by a PID controller for multiple-input/multiple-output plants has not been exam-ined. In this paper, we clarify this q
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Khudhair, Mohammed, Muhammad Ragab, Kareem M. AboRas, and Nabil H. Abbasy. "Robust Control of Frequency Variations for a Multi-Area Power System in Smart Grid Using a Newly Wild Horse Optimized Combination of PIDD2 and PD Controllers." Sustainability 14, no. 13 (2022): 8223. http://dx.doi.org/10.3390/su14138223.

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This paper proposes a new combined controller, the proportional integral derivative-second derivative with a proportional derivative (PIDD2-PD), to improve the frequency response of a multi-area interconnected power system with multiple generating units linked to it. The optimum gains of the presented controller are well-tuned using a wild horse optimizer (WHO), a modern metaheuristic optimization approach. The main study is a two-area-linked power system with varied conventional and renewable generating units. The physical constraints of the speed turbines and governors are considered. The WH
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Emami, Tooran. "Additive Mixed Sensitivity Design of PID Controllers for Continuous-Time System with Uncertain Time-Delay." WSEAS TRANSACTIONS ON SYSTEMS 20 (December 1, 2021): 303–11. http://dx.doi.org/10.37394/23202.2021.20.34.

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This paper presents an algorithm for all achievable coefficients of Proportional Integral Derivative (PID) controllers in an integral-derivative plane that stabilizes and satisfies additive mixed sensitivity constraint with an uncertain time delay for a continuous-time system. This algorithm solves the singularity problem of designing PID controllers in the integral and derivative plane and estimates achievable ranges of proportional gain of the PID controllers. A numerical cascaded ball and beam with unity feedback control of an SRV-DC motor and uncertain communication time delays in the syst
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