Low-Cost Implementation of an Adaptive Neural Network Controller for a Drive with an Elastic Shaft

Malarczyk, Mateusz; Zychlewicz, Mateusz; Stanislawski, Radoslaw; Kaminski, Marcin

doi:10.3390/signals4010003

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…The 2DOF PI controller could be represented in the active damping form [28]. In this case, the first pole is selected as in (24) while the second pole and the zero could be selected as…”

Section: Conventional Design Of 2dof Pi Controllermentioning

confidence: 99%

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Enhanced Control of Back-to-Back Converters in Wind Energy Conversion Systems Using Two-Degree-of-Freedom (2DOF) PI Controllers

Hussain

2023

Electronics

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The performance of a full-scale wind energy conversion system is dependent on the control system of the back-to-back power electronics converter. Different controllers have been proposed in the literature, many of which are variations of a generalized two-degrees-of-freedom (2DOF) PI controller. This paper presents a design method for the parameters of a 2DOF PI controller for the stator current, generator speed, grid current, and DC bus voltage control. The controller can be designed using a general independent zero and pole placement method. The proposed and conventional methods are analyzed based on their ability to track references, reject disturbances, and their sensitivity to noise. A tuning approach is proposed to enhance the controller’s bandwidth without sacrificing noise sensitivity or disturbance rejection capability. The conventional methods are shown to be special versions of the proposed design. Simulation results demonstrate the effectiveness of the proposed design.

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“…The 2DOF PI controller could be represented in the active damping form [28]. In this case, the first pole is selected as in (24) while the second pole and the zero could be selected as…”

Section: Conventional Design Of 2dof Pi Controllermentioning

confidence: 99%

“…A composite variable structure PI controller is proposed in [23] for sensorless speed control. An adaptive neural network controller is presented in [24] for a system with a long shaft. An enhanced linear active disturbance rejection control method is proposed in [25].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Control of Back-to-Back Converters in Wind Energy Conversion Systems Using Two-Degree-of-Freedom (2DOF) PI Controllers

Hussain

2023

Electronics

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“…It was decided to use MLP due to its high efficiency in relevant problems of damage classification [29,[33][34][35]. In addition, the implementation possibilities of the perceptron or similar neural structures on microcontrollers have been repeatedly presented in the literature, which shows the possibilities of using the detector in industrial practice [36][37][38]. The paper also presents the possibilities of damage classification (indication of one of the three analyzed failure types) with the use of MLP; fault classification is based on the same input vector as the fault detector, excluding the regenerative mode, and the classifier recognizes the same three types of damage.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of the Current Sensor Fault Detection Mechanism Based on Neural Networks in the PMSM Drive System

Jankowska

Dybkowski

2023

Electronics

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In this paper, a current sensor fault detection mechanism based on multilayer perceptron (MLP) in a permanent magnet synchronous motor (PMSM) drive system is presented. The solution for the PMSM was previously described and tested only in simulation studies. The described application allows the detection of basic faults (lack of signal, gain error, signal noise) in current sensors and the indication of the phase (A or B) in which the fault occurred. The work is focused on the analysis of the fault detector but also presents the possibilities of their classification. The work mainly presents experimental research for different values of speed during the load and regenerative mode. In addition to the study of various operating conditions of the drive system, the detector efficiency was also verified for three neural structures with a different number of neurons in the hidden layers. The work also presents simulation tests (in Matlab Simulink software) for the additional conditions of the drive system for the same neural structures as in the experimental studies. The results obtained during offline and online faults detection with the use of the DS1103 controller are presented.

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Fuzzy-PID controller based sliding-mode for suppressing low frequency oscillations of the synchronous generator

Signe,

Motto

2024

Heliyon

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Low-Cost Implementation of an Adaptive Neural Network Controller for a Drive with an Elastic Shaft

Cited by 4 publications

References 49 publications

Enhanced Control of Back-to-Back Converters in Wind Energy Conversion Systems Using Two-Degree-of-Freedom (2DOF) PI Controllers

Enhanced Control of Back-to-Back Converters in Wind Energy Conversion Systems Using Two-Degree-of-Freedom (2DOF) PI Controllers

Experimental Analysis of the Current Sensor Fault Detection Mechanism Based on Neural Networks in the PMSM Drive System

Fuzzy-PID controller based sliding-mode for suppressing low frequency oscillations of the synchronous generator

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