Robust control of a DC motor

Okoro, Ihechiluru; Enwerem, Clinton

doi:10.1016/j.heliyon.2020.e05777

Cited by 16 publications

(5 citation statements)

References 14 publications

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“…These controllers improve the performance as compared to integer order controllers [30]. The system composed of an Arduino Uno, a conveyor motor, a gear motor, and an inductive proxy sensor is shown in [31].…”

Section: 𝐺(𝑠) =mentioning

confidence: 99%

Selectable Fractional-order Controller for Industrial Control Designs

Walia,

Garg,

Goyal

2023

E3S Web Conf.

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Differential Equation (DE) of fractional-order specifically gives clear view of fractional-order systems. Since genuine processes are typically or most anticipated to be fractional, employing fractional-order’s concept might be results to take us closer to the actual world. A lot of recent publications concentrate on employing fractional-order dynamics is to describe actual physical processes. In this paper, fractional calculus is applied in the field of control systems. Fractional-order controller also known as FOC has been proposed in numerous studies. The fundamental benefit of a FOC is that it gives the control mechanism of greater flexibility of time and frequency responses, enabling better and more reliable functioning of the system. The industrialization of fractional-order control has practical benefits of better solutions for control problems. The industrial controller has the requirement of different gains and orders of fractionalorder controllers. The selectable improved design is proposed, and an optimal and efficient controller is suggested with fractional-order approach. The results show that the best controller is selected from different controllers for water tank and bio-reactor systems. It is found in the results that the Mod FPID controller has the least overshoot of 4.31% and the fastest settling time of 76.5 s for water tank system and fractional-order controller (PID)n is selected for bio-reactor control systems.

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Section: 𝐺(𝑠) =mentioning

confidence: 99%

Selectable Fractional-order Controller for Industrial Control Designs

Walia,

Garg,

Goyal

2023

E3S Web Conf.

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“…The proposed AACT approach is applied to the speed regulation of the Direct Current (DC) motor, which is one of the most used electromechanical actuators for industrial applications [45][46][47][48][49]. At this point, it is important to mention that bio-inspired algorithms are approximated stochastic methods, which means that every run deploys different outcomes.…”

Section: A Contributionsmentioning

confidence: 99%

Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

2021

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The fusion of bio-inspired algorithms into online controller tuning (adaptive controller tuning) is one of the main topics in Intelligent Control. One crucial issue is to reduce the times that the tuning process performs over time. In this work, a novel Asynchronous Adaptive Controller Tuning (AACT) approach is proposed to reduce the number of tuning process activations, and hence, this promotes resource savings in the overall computational cost for the tuning process. In this approach, an event function is designed to determine the control parameter update where the use of identification and predictive stages set the current control parameters. Furthermore, an elitist initialization in the differential evolution algorithm is also incorporated for solving the optimization problems at each stage. The speed regulation of the DC motor under disturbances is the study case in the ACCT approach. Comparative results with state-of-theart bio-inspired algorithms in control tuning reveal in the AACT approach that the elitist initialization in differential evolution notably benefits the controller performance. Moreover, the comparative results with the Synchronous Adaptive Controller Tuning (SACT) approach show that the proposal reduces 61% the tuning process computation frequency with a similar speed regulation performance when disturbances appear.INDEX TERMS Optimal controller tuning, DC motor, Event based tuning, Bio-inspired algorithm.

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“…Motor drives that have high performance must be able to receive dynamic commands and load control responses. Electric drives are key in most industrial manufacturing and commercial applications [3], [4]. Direct current (DC) motors are easy-to-apply and widely accepted drives.…”

Section: Introductionmentioning

confidence: 99%

Sand cat swarm optimization for controlling PID in DC motor

Aribowo,

Ghith,

Rahmadian

et al. 2024

TELKOMNIKA

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In this article, the direct current (DC) motor control approach is presented using the sand cat swarm optimization (SCSO) method to obtain the best proportional integral derivative (PID) parameters. DC motors are popular equipment. In addition, DC motors are easy to apply. SCSO is a method that adopts the desert cat's life in nature when searching for prey. This cat is able to detect low frequencies below 2 kHz and also has an extraordinary ability to dig for prey. This research was carried out using the MATLAB/Simulink application. To obtain the performance of the SCSO method, a comparison method was used, namely particle swarm optimization (PSO), gray wolf optimizer (GWO), whale optimization algorithm (WOA), and aquila optimizer (AO). From the results of the study, it was found that the settling time value and integral total weighted absolute value error (ITAE) value of the SCSO method were the best compared to other methods.

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Robust control of a DC motor

Cited by 16 publications

References 14 publications

Selectable Fractional-order Controller for Industrial Control Designs

Selectable Fractional-order Controller for Industrial Control Designs

Novel Asynchronous Activation of the Bio-Inspired Adaptive Tuning in the Speed Controller: Study Case in DC Motors

Sand cat swarm optimization for controlling PID in DC motor

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