Recursive neural network as speed controller for two-sided electrical drive with complex mechanical structure

Nowopolski, Krzysztof; Wicher, Bartlomiej; Łuczak, Dominik; Siwek, Przemyslaw

doi:10.1109/mmar.2017.8046892

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The existing research gap found by the authors that is an interesting area of analysis is that of the design of an ANN structure that may operate as a speed controller for the threemass system, controlling two drive units separately. Their previous works allowed for the determination of a satisfactory control structure suitable for three-mass control [6]. In the study presented herein, the application of this structure is verified for a broader spectrum of plant parameters.…”

Section: Introductionmentioning

confidence: 85%

“…According to the preliminary investigation, the learning rate was set to a fixed value of 1 × 10 −6 that was applied for all of the presented tests. The structure of the ANN speed controller is selected according to the preliminary results of its optimization presented in [6]. From a wide spectrum of available structures of ANN, the classical multi-layer perceptron (MLP) form was selected, in which each neuron is a system with many inputs and one output, according to Equation (18), in which x i is i-th input, and w i -the corresponding weight.…”

Section: Ann Speed Controllermentioning

confidence: 99%

“…In the literature, control structures for complex mechanical systems are widely found for two-mass systems equipped with a single controllable drive [1][2][3][4]. The use of a twosided drive is a less widespread solution that requires the development of a new structure and control algorithms to coordinate the operation of both drives [5][6][7][8]. It is required to develop a different control system with the multiple input-multiple output (MIMO) structure, with two outputs delivering excitation signals for the plant.…”

Section: Introductionmentioning

confidence: 99%

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Recursive Neural Network as a Multiple Input–Multiple Output Speed Controller for Electrical Drive of Three-Mass System

Zawirski,

Brock,

Nowopolski

2023

Energies

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Electrical drive systems are commonly applied for the mechanisms of precise movement, where having a high-quality position and high-quality speed control is especially valuable. Very often, the mechanical part of these systems reveals resonant properties that are related to the limited stiffness of the interconnection between subsequent parts of the mechanism. In most cases, this sort of system may be described as a model of several linked masses. If only the structure of the mechanical part is known and the corresponding parameters are constant and identified, the demanded control quality may be obtained using a properly tuned ADRC or PID controller equipped with appropriate anti-resonance filtration. However, if the parameters of the mechanical part are variant, adaptive control may be considered as a solution. In this paper, artificial neural network (ANN) is considered to be a speed controller and its training method assures adaptation to the unknown mechanical parameters. The paper is particularly focused on a three-mass system, which possesses, due to its structure, two resonant frequencies. The unique property of the analyzed system is the application of drive units at both ends of the system, so that the controller has the ability to influence the resonant system from both sides. The coordination of the drive unit is performed by the aforementioned ANN, from which two outputs affect the drive units independently. The derivation of the mathematical model is followed by its implementation in a computer simulation and finally the evaluation in a dedicated laboratory setup, the construction of which is also presented in the paper.

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Section: Introductionmentioning

confidence: 85%

Section: Ann Speed Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Recursive Neural Network as a Multiple Input–Multiple Output Speed Controller for Electrical Drive of Three-Mass System

Zawirski,

Brock,

Nowopolski

2023

Energies

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“…Modern industrial facilities, households, and electric vehicles are equipped with electrical drives (Nowopolski et al, 2017;Szabat et al, 2020;Urbanski and Janiszewski, 2021) and mechanical working parts. Those mechatronics parts have a limited life time that decreases if not maintained correctly.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Vibrations Analysis in Direct Drive Using CWT with Complex Morlet Wavelet

Łuczak

2023

Power Electronics and Drives

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Modern industrial process and household equipment more often use direct drives. According to European policy, Industry 4.0 and new Industry 5.0 need to undertake the effort required to ensure a sustainable, human-centric, and resilient European industry. One of the main problems of rotating machines is mechanical vibrations that can limit the lifetime of the final product or the machine in which they are applied. Therefore, analysis of vibration in electrical drives is crucial for appropriate maintenance of the machine. The present article undertakes an analysis of vibration measured at the laboratory stand with multiple dominant frequencies in the range 50–500 Hz. The fast Fourier transform (FFT) gives information about the frequency component without its time localisation. While the solution made available by the short-time Fourier transform (STFT) is able to overcome the problem of FFT, it still has limitations, particularly in terms of there being a lacuna in time and frequency localisation; accordingly, the need is felt for other methods that can give a good localisation in time and frequency. In the article, the continuous wavelet transform (CWT) was investigated, which requires selection of the wavelet function (kernel of transformation). The complex Morlet wavelet was selected with description of its central frequency and bandwidth. CWT and STFT time-frequency localisation capabilities were compared to investigate data registered from the direct-drive laboratory stand. CWT gives better frequency localisation than STFT even for the same frequency resolution. Vibration frequencies with near-locations were separated in CWT and STFT joined them into one wide pick. To ensure a good extraction of frequency features in electric drive systems, the author, based on analysing the results of the present study, recommends that CWT with complex Morlet wavelet be used instead of STFT.

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“…A fuzzy based control for a three-mass system is presented in [14,15], where fuzzy term is selected to modify IPD control. Other control approaches can be found in [16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Hardware-in-the-loop based comparative analysis of speed controllers for a two-mass system using an induction motor drive with ideal stator current performance

Nguyễn

Ha³

2021

Bulletin EEI

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A comparative study of speed control performance of an induction motor drive system connecting to a load via a non-rigid shaft. The nonrigidity of the coupling is represented by stiffness and damping coefficients deteriorating speed regulating operations of the system and can be regarded as a two-mass system. In the paper, the ability of flatness based and backstepping controls in control the two-mass system is verified through comprehensive hardware-in-the-loop experiments and with the assumption of ideal stator current loop performance. Step-by-step control design procedures are given, in addition, system responses with classical PID control are also provided for parallel comparisons.

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Recursive neural network as speed controller for two-sided electrical drive with complex mechanical structure

Cited by 6 publications

References 17 publications

Recursive Neural Network as a Multiple Input–Multiple Output Speed Controller for Electrical Drive of Three-Mass System

Recursive Neural Network as a Multiple Input–Multiple Output Speed Controller for Electrical Drive of Three-Mass System

Mechanical Vibrations Analysis in Direct Drive Using CWT with Complex Morlet Wavelet

Hardware-in-the-loop based comparative analysis of speed controllers for a two-mass system using an induction motor drive with ideal stator current performance

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