Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controller

Manuel, Nelson Luis; İnanç, Nihat; Lüy, Murat

doi:10.1016/j.rico.2023.100306

Cited by 14 publications

(6 citation statements)

References 44 publications

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“…To achieve the effect of adaptive tuning of PID controller parameters, meet the different requirements of deviation e and deviation e change rate de/dt on PID parameters [33]. Considering the coverage and sensitivity of the universe, and to simplify the calculation of STM32F103ZET6, each fuzzy subset uses a triangular membership function [35,36]. According to the fuzzy rules of PID parameters, the corresponding output can be inferred according to the input deviation e and the deviation change rate, etc.…”

Section: Control Algorithmmentioning

confidence: 99%

“…,, ( ) Considering the coverage and sensitivity of the universe, and to simplify the calculation of STM32F103ZET6, each fuzzy subset uses a triangular membership function [35,36]. According to the fuzzy rules of PID parameters, the corresponding output can be inferred according to the input deviation e and the deviation change rate, etc.…”

Section:  mentioning

confidence: 99%

“…The fuzzy controller mainly comprises three modules: fuzzification, fuzzy inference, and defuzzification. The negative large [NB], negative medium [NM], negative small [NS], zero [ZO], positive small [PS], positive medium [PM], and positive large [PB] fuzzy subsets were selected.Considering the coverage and sensitivity of the universe, and to simplify the calculation of STM32F103ZET6, each fuzzy subset uses a triangular membership function[35,36]. According to the fuzzy rules of PID parameters, the corresponding output can be inferred according to the input deviation e and the deviation change rate, etc.…”

mentioning

confidence: 99%

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A Precise Simultaneous Sowed Control System for Maize Seed and Fertilizer

Liang,

Pan,

Chen

et al. 2024

Agriculture

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To improve the utilization rate of maize seed fertilizer, this study aimed to propose a precise co-sowing control system for the real-time control of the relative position of seed fertilizer during the co-sowing operation. According to the operating speed of the machine, the longitudinal distance between the seed feeder and the outer groove wheel, the height of the seed and fertilizer falling, and the relative position of the seed and fertilizer falling into the soil, the calculation method for the seed and fertilizer falling into the soil was obtained, the precise co-seeding model of the seed fertilizer was constructed, the control algorithm of the precise co-seeding of the seed fertilizer was designed, and the hardware system and software system were designed. Based on the hardware structure and working principle of the motor drive seeding and fertilization control system, a functional circuit based on the STM32F103ZET6 single-chip microcomputer (Zhengdianyuanzi (Guangzhou) Technology Co., Ltd., Guangzhou, China) was built. When the system is working, the satellite speed measurement module collects the operating speed of the machine, the encoder feeds back the motor speed in real time, a Hall sensor detects the time interval between fertilizer and seed discharge at the point of discharge, and the PID algorithm is applied to make the speed regulation system regulate the motor speed and position and adjust the speed and position of the seed discharge tray and fertilizer on the outer slot wheel in real time. The relative position of seed and fertilizer in the soil can be controlled accurately in the process of sowing fertilizer. The test results showed that when the feed speed was 2, 3, and 4 km·h−1, and the grain spacing was 20, 25, and 30 cm, respectively, the seed fertilizer alignment was better and met the requirements of precise sowing, improving fertilizer utilization rate.

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Section: Control Algorithmmentioning

confidence: 99%

Section:  mentioning

confidence: 99%

mentioning

confidence: 99%

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A Precise Simultaneous Sowed Control System for Maize Seed and Fertilizer

Liang,

Pan,

Chen

et al. 2024

Agriculture

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“…Regarding control engineering problems, metaheuristics algorithms obtain specific system parameters, such as identification [13,14]. Another aspect could be that, in the case of the PID controller, it is necessary to know the model to optimize the controller gains carried out with the proposed design brief [15,16]. The convergence of metaheuristic algorithms with control methodologies has experienced notable expansion, primarily propelled by advancements in computational power.…”

Section: Introductionmentioning

confidence: 99%

Hunting Search Algorithm-Based Adaptive Fuzzy Tracking Controller for an Aero-Pendulum

Rojas-Galván,

García-Martínez,

Cruz-Miguel

et al. 2024

Technologies

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The aero-pendulum is a non-linear system used broadly to develop and test new controller strategies. This paper presents a new methodology for an adaptive PID fuzzy-based tracking controller using a Hunting Search (HuS) algorithm. The HuS algorithm computes the parameters of the membership functions of the fuzzification stage. As a novelty, the algorithm guarantees the overlap of the membership functions to ensure that all the functions are interconnected, generating new hunters to search for better solutions in the overlapping area. For the defuzzification stage, the HuS algorithm sets the singletons in optimal positions to evaluate the controller response using the centroid method. To probe the robustness of the methodology, the PID fuzzy controller algorithm is implemented in an embedded system to track the angular position of an aero-pendulum test bench. The results show that the adaptive PID fuzzy controller proposed presents root mean square error values of 0.42, 0.40, and 0.49 for 80, 90, and 100 degrees, respectively.

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“…Brushless DC motors have an expanded speed range, greater dependability, and efficiency. Biomedical and robotic applications [6] necessitate a strong torque-to-weight ratio and accurate position control for precision, since BLDC motors are used a great deal in various industrial and consumer durables due to their distinct properties. In contrast to its AC and DC counterparts, the BLDC motor may thus be considered a suitable solution [7].…”

Section: Introductionmentioning

confidence: 99%

Application of Tilt Integral Derivative for Efficient Speed Control and Operation of BLDC Motor Drive for Electric Vehicles

Sayed,

El-Zohri,

Ahmed

et al. 2024

Fractal Fract

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This study presents the tilt integral derivative (TID) controller technique for controlling the speed of BLDC motors in order to improve the real-time control of brushless direct current motors in electric vehicles. The TID controller is applied to the considered model to enhance its performance, e.g., torque and speed. This control system manages the torque output, speed, and position of the motor to ensure precise and efficient operation in EV applications. Brushless direct current motors are becoming more and more popular due to their excellent torque, power factor, efficiency, and controllability. The differences between PID, TID, and PI controllers are compared. The outcomes demonstrated that the TID control enhanced the torque and current stability in addition to the BLDC system’s capacity to regulate speed. TID controllers provide better input power for BLDC (brushless DC) drives than PI and PID controllers do. Better transient responsiveness and robustness to disturbances are features of TID controller design, which can lead to more effective use of input power. TID controllers are an advantageous choice for BLDC drive applications because of their increased performance, which can result in increased system responsiveness and overall efficiency. In an experimental lab, a BLDC motor drive prototype is implemented in this study. To fully enhance the power electronic subsystem and the brushless DC motor’s real-time performance, a test bench was also built.

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Control and performance analyses of a DC motor using optimized PIDs and fuzzy logic controller

Cited by 14 publications

References 44 publications

A Precise Simultaneous Sowed Control System for Maize Seed and Fertilizer

A Precise Simultaneous Sowed Control System for Maize Seed and Fertilizer

Hunting Search Algorithm-Based Adaptive Fuzzy Tracking Controller for an Aero-Pendulum

Application of Tilt Integral Derivative for Efficient Speed Control and Operation of BLDC Motor Drive for Electric Vehicles

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