Intelligent Control Strategies for Tuning PID of Speed Control of DC Motor - A Review

Purnama, Hendril Satrian; Sutikno, Tole; Alavandar, Srinivasan; Subrata, Agung

doi:10.1109/cencon47160.2019.8974782

Cited by 20 publications

(6 citation statements)

References 24 publications

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“…Generally, classifying the control strategies is not straightforward, being in most cases arbitrary because some controllers may exhibit characteristics of multiple groups, as they often incorporate a combination of techniques to achieve specific control objectives. However, the different control strategies can be classified into four broad groups based on their characteristics and underlying principles [44]:…”

Section: Classification Of Control Strategiesmentioning

confidence: 99%

Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

Clemente,

Arias,

Gevorkov

et al. 2024

Electronics

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The implementation of energy storage system (ESS) technology with an appropriate control system can enhance the resilience and economic performance of power systems. However, none of the storage options available today can perform at their best in every situation. As a matter of fact, an isolated storage solution’s energy and power density, lifespan, cost, and response time are its primary performance constraints. Batteries are the essential energy storage component used in electric mobility, industries, and household applications nowadays. In general, the battery energy storage systems (BESS) currently available on the market are based on a homogeneous type of electrochemical battery. However, a hybrid energy storage system (HESS) based on a mixture of various types of electrochemical batteries can potentially provide a better option for high-performance electric cars, heavy-duty electric vehicles, industries, and residential purposes. A hybrid energy storage system combines two or more electrochemical energy storage systems to provide a more reliable and efficient energy storage solution. At the same time, the integration of multiple energy storage systems in an HESS requires advanced control strategies to ensure optimal performance and longevity of the system. This review paper aims to provide a comprehensive overview of the control systems used in HESSs for a wide range of applications. An overview of the various control strategies used in HESSs is offered, including traditional control methods such as proportional–integral–derivative (PID) control, and advanced control methods such as model predictive control (MPC), droop control (DC), sliding mode control (SMC), rule-based control (RBC), fuzzy logic control (FLC), and artificial neural network (ANN) control are discussed. The paper also highlights the recent developments in HESS control systems, including the use of machine learning techniques such as deep reinforcement learning (DRL) and genetic algorithms (GA). The paper provides not only a description and classification of various control approaches but also a comparison between control strategies from the evaluation of performance point of view. The review concludes by summarizing the key findings and future research directions for HESS control systems, which is directly linked to the research on machine learning and the mix of different control type strategies.

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Section: Classification Of Control Strategiesmentioning

confidence: 99%

Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

Clemente,

Arias,

Gevorkov

et al. 2024

Electronics

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“…Bu çalışma endüstriyel uygulamalar ve gündelik yaşantının birçok noktasında doğru akım (DA) motorlarının yaygın olarak kullanılmasından dolayı bu konuya yönelmiştir. DA motorlarının kullanım alanlarına elektrikli araçlar, insansız su altı araçları, manipülatör robotlar, sabit diskler ve bazı ev aletleri örnek olarak verilebilir [7][8][9][10]. Doğru akım motorlarının yaygın kullanımında, sağladığı avantajlar ön plana çıkmaktadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

SSA-based Fractional Order PI-PD Cascade Controller Design for DC Motor Speed Control

2024

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In this study, a fractional and cascaded controller type FOPI-FOPD is designed to control the DC motor speed. The proposed controller parameters are tuned via Sparrow Search Algorithm (SSA) which is a recently introduced metaheuristic optimization algorithm. Various types of objective functions are employed to search the proposed controller parameters. These objective functions are the integral of time multiply absolute error (ITAE), the integral of absolute error (IAE),the integral of time multiply squared error (ITSE), the integral of squared error (ISE), and Zwe-Lee Gaing (ZLG). The results obtained from the objective functions were compared in the time domain in terms of overshoot (M_p), settling time (t_s), and ramp time (t_r). In addition, the obtained results are examined in terms of gain margin, phase margin, and bandwidth in the frequency domain. The best results obtained from different objective functions in the time and frequency domain were compared with the studies in the literature. In addition, for the best result obtained in the proposed controller, robustness, disturbance load, and reference speed change analysis were examined.

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“…Classical control techniques, which rely on model accuracy, precise parameter identification, and complicated tuning methods, are sometimes not feasible [14]. To address these requirements, modern control, and intelligent control methods have been developed to reduce steady-state errors, improve response times, and enhance sensitivity to controller gain tuning.…”

Section: Introductionmentioning

confidence: 99%

Active Control Experiments on a Smart Robotic Glass with End-Point Control for Parkinson’s Patients

Ayana

Kılıç

YaŞar

et al. 2023

Applied Bionics and Biomechanics

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This paper describes a robotic system that uses an actively controlled glass to help patients with tremors. End-point control is proposed for the upper part of a robotic device that becomes active in response to motion changes or vibrations of its holder. The device mechanisms, hardware, software, and sensory system are all integrated, presenting a novel robotic glass design. The control system consists of two degrees of freedom proportional–integral velocity regulators for direct current motors. These regulators are designed, implemented, and tuned to keep the robotic glass stable against changes in its position. In realizing direct current motor control, it is essential to take system constraints into consideration to develop regulators that can handle the nonlinear Coulomb friction and avoid operating in the saturation zone. This is crucial when designing, tuning, and implementing regulators for real-time applications. The computer simulations of the system, which involved developing and running all the control algorithms for real-time applications, are carried out in Matlab/Simulink. The proposed designs are validated by comparing system simulations to real-time physical experiments. The recorded results confirmed the outstanding performance of the proposed experimental platform mechanisms and the accurate control tracking, which provides fast and precise control responses to meet the high requirements of a fast end-point control application.

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Intelligent Control Strategies for Tuning PID of Speed Control of DC Motor - A Review

Cited by 20 publications

References 24 publications

Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

SSA-based Fractional Order PI-PD Cascade Controller Design for DC Motor Speed Control

Active Control Experiments on a Smart Robotic Glass with End-Point Control for Parkinson’s Patients

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