Parallel computing applied to auto-tuning of state feedback speed controller for PMSM drive

Szczepański, Rafał; Tarczewski, Tomasz; Grzesiak, Lech M.

doi:10.1051/itmconf/20192801031

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…Other important issues discussed in this article, regarding drives, actuators, sensors, servomechanisms, programmable controllers and encoders, are also presented in scientiőc works such as [23][24][25][26][27][28][29][30] .…”

Section: Symbolsmentioning

confidence: 99%

A high accuracy Stewart–lift platform based on a programmable logic controller – comparative case studies

Pawuś,

Witek,

Klar

et al. 2023

Preprint

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This study presents a comprehensive examination of an advanced highaccuracy Stewart-Lift platform, coupled with an in-depth comparative analysis of its dynamic control mechanisms. The control system under scrutiny is driven by a programmable logic controller (PLC), showcasing its adaptability to industrial automation and robotics systems. The dynamic characteristics of the system are elucidated through a dynamic model formulated using the Lagrange method. The investigation delves into the properties of the system, emphasizing its real-world applicability, and substantiates its theoretical underpinnings through practical verification. Rigorous testing procedures were employed, and the obtained results were meticulously scrutinized using established quality indicators. The outcomes of these verification tests unequivocally affirm the system’s efficacy for diverse applications within the realm of industrial automation and robotics. This research contributes valuable insights into the utilization of advanced Stewart-Lift platforms, highlighting their potential as robust components in cutting-edge control systems.

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Section: Symbolsmentioning

confidence: 99%

A high accuracy Stewart–lift platform based on a programmable logic controller – comparative case studies

Pawuś,

Witek,

Klar

et al. 2023

Preprint

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show abstract

“…The same type of motor is considered in [9]. Smart modification of a classical linear, model-reference adaptive control is presented with the Widrow-Hoff rule used to adjust controller's coefficients.…”

Section: Adaptive Approach In Motion Control and Drive Automationmentioning

confidence: 99%

“…1960 to train an adaptive pattern classification neural machine called Adaline. In addition to presenting an important application, the authors of [9] demonstrate close links between adaptive and neural approaches.…”

Section: Introductionmentioning

confidence: 98%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Kabziński,

Orłowska-Kowalska,

Sikorski

et al. 2020

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“…The authors compare simple parameter-less Deb's rules with augmented Lagrangian method. It is worth to pointing out that parallel implementation of auto-tuning methods is also taken into account in the research [18]. Due to commonly used in personal computers multi-core processors, parallelisation of time-consuming processes, e.g., constrained auto-tuning of SFC, is justified to reduce computation time.…”

Section: Introductionmentioning

confidence: 99%

Auto-Tuning Process of State Feedback Speed Controller Applied for Two-Mass System

2020

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The state feedback controller is increasingly applied in electrical drive systems due to robustness and good disturbance compensation, however its main drawback is related to complex and time consuming tuning process. It is particularly troublesome for designer, if the plant is compound, nonlinear elements are taken into account, measurement noise is considered, etc. In this paper the application of nature-inspired optimization algorithm to automatic tuning of state feedback speed controller (SFC) for two-mass system (TMS) is proposed. In order to obtain optimal coefficients of SFC, the Artificial Bee Colony algorithm (ABC) is used. The objective function is described and discussed in details. Comparison with analytical tuning method of SFC is also included. Additionally, the stability analysis for the control system, optimized using the ABC algorithm, is presented. Synthesis procedure of the controller is utilized in Matlab/Simulink from MathWorks. Next, obtained coefficients of the controller are examined on the laboratory stand, also with variable moment of inertia values, to indicate robustness of the controller with optimal coefficients.

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Parallel computing applied to auto-tuning of state feedback speed controller for PMSM drive

Cited by 5 publications

References 4 publications

A high accuracy Stewart–lift platform based on a programmable logic controller – comparative case studies

A high accuracy Stewart–lift platform based on a programmable logic controller – comparative case studies

Bulletin of the Polish Academy of Sciences: Technical Sciences

Auto-Tuning Process of State Feedback Speed Controller Applied for Two-Mass System

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