Optimal PID Controller Tuning for DC Motor Speed Control Using Smell Agent Optimization Algorithm

Abba, Aminu Muhammad; Karataev, Tologun; Thomas, Sadiq; Ali, Abdoulhakeem M.; Yau, Isiyaku; Mikail, Shamsudeen A.

doi:10.46792/fuoyejet.v7i1.740

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…At any transient disturbance, let the field current I f and the back EMF constant K e be constant (Abba et al , 2022). The Laplace transform of back EMF, armature current, is given as follows: …”

Section: Drive – Dynamic Modelmentioning

confidence: 99%

“…These methods are based on natural, physical, biological and evolutionary processes (Lindfield and Penny, 2019; Blum and Roli, 2003). Heuristic optimization techniques provide a significant improvement in plant performance compared with classical methods (Agnihotri et al , 2018; Abba et al , 2022). The population-based algorithm maintains a whole set of candidate solutions, with each solution corresponding to a unique point in the problem search space.…”

Section: Introductionmentioning

confidence: 99%

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Novel approach to stability analysis of DC drive with parameter uncertainty and perturbation in feedback system

Gopi¹

2022

COMPEL

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Purpose The purpose of this study is to analyze direct current (DC) drive stability, including parameter uncertainty and perturbation in the feedback loop, by computing disk margins. Design/methodology/approach Although the closed-loop stability analysis of a DC drive has been presented well in the referenced papers, the effect of parameter uncertainty and perturbation in the feedback loop has not yet been discussed well. In this study, the conventional and disk-based stability margins were measured and compared for the nominal parameters of the DC drive. Subsequently, the smallest disk-based margins that destabilize the feedback loop for a given perturbation are computed and compared with normal disk margins. Findings The disk-based margin offered by the DC drive controlled by the JAYA-PID controller is disk gain margins (DGM) = 8.41 dB and disk phase margin (DPM) = 48.410 and the smallest disk-based margin offered is DGM = 1.51 dB and DPM = 9.950. In addition, the effect of the modeled uncertainty on the disk stability margins was analyzed, and it was observed that the maximum allowable parameter uncertainty with the JAYA controller was 73% of its nominal parameters. The simulation results were validated using an experimental testbed. Originality/value This research work is not published anywhere else.

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Section: Drive – Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel approach to stability analysis of DC drive with parameter uncertainty and perturbation in feedback system

Gopi¹

2022

COMPEL

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“…the context of a humanoid robotic arm whereas [9] explains the modeling and control of DC servomotor for the electric wheel chair arrangement. Such PID controller can be tuned with various heuristic algrothms using MATLAB such as genetic algorithm [10], [11], Krill herd algorithm [12] and Smell agent optimization algorithm [13] for the position and speed control of the DC servomotor. Whereas, the papers [14]- [16] explain the advantages of other control techniques such as fuzzy logic [14], ANN [15], and a hybrid fuzzy and position-velocity controller [16] for the speed control of DC servomotor, using MATLAB /Simulink models.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

K. Namboothiripad

2024

IJCDS

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This paper explains the strategies to create a hardware-based real time model of DC servomotor by utilizing the FPGA technology that can accurately simulate the behavior of the servomotor in real-time. Such FPGA based hardware model is useful for testing control algorithms, validating designs, and optimizing performance for various applications because of its reconfiguration capabilities. The uniqueness of our paper lies in the application of C language for modeling a DC servomotor by discretizing the model with both Backward Euler (BE) and Trapezoidal (TRZ) methods. The discretized models are then implemented on FPGA using Vivado HLS and the performance is analyzed with change in step-size by comparing with the transfer function (TF) model. With 100 µsec step-size, TRZ response is found to be matching with the TF model, however, a step-size of 0.6 µsec was required for the BE. Also analyzed the feasibility of Hardware-in-the-Loop (HIL) technique by connecting the DC servomotor in loop with the PID controller on FPGA, again by varying the step-size. Both the BE and TRZ models could track the reference speed within 2 msec, because of the PID controller, however faster dynamics was observed in case of TRZ as compared to BE, especially with larger step-size. This analysis demonstrates the impact of step-size and discretization technique on real-time modeling. By selecting suitable values, the FPGA model can be efficiently harnessed to develop a tailored control algorithm and optimize performance for diverse applications.

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“…The researcher presented in the paper [15] building a dynamic model of DC motor and using Matlab/Simulation as a sub-system of the motor, and then using PID and FLC as a logic controller to control the motor speed. For centuries, PID controllers have been used in industrial applications for their ease of application, high efficiency and robustness [16][17][18][19][20][21][22]. PID controllers have three basic control modes (kp, ki, kd), which are characterized by ease of implementation and good performance, enabling them to be widely used in industrial fields [23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Simulation Model of PID Controller for DC Servo Motor at Variable and Constant Speed by Using MATLAB

Abdullah¹,

Shneen²,

Dakheel³

2023

Journal of Robotics and Control

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The current simulation is conducted in order to develop an appropriate design for the control systems and control the speed of the electric motor. To obtain the appropriate and required design, work is carried out for two cases, a constant speed and the other case at variable speed in different conditions for operation of dc servo motor, these conditions include rotating in a clockwise direction, break and returns rotating in the opposite clockwise direction. Through the proposed working conditions, it is possible to obtain the best values for the parameters of the control unit that improve the working performance of dc servo motor, which were shown by the simulation results and their values were kp =5, ki=3 and kd=5 for PID controller. Which changed the system response speed, rise time and the upper and lower bypass ratio at acceptable rates and ratios to prove an improvement procedure in the work of the electric motor.

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Optimal PID Controller Tuning for DC Motor Speed Control Using Smell Agent Optimization Algorithm

Cited by 4 publications

References 12 publications

Novel approach to stability analysis of DC drive with parameter uncertainty and perturbation in feedback system

Novel approach to stability analysis of DC drive with parameter uncertainty and perturbation in feedback system

Analyzing the Impact of Discretization Techniques on Real Time Simulation of DC Servo Motor Using FPGA

Simulation Model of PID Controller for DC Servo Motor at Variable and Constant Speed by Using MATLAB

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