Optimizing weigh feeder performance using modeling and simulation

Mahajan, Namrta; Deshpande, S. B.; Kadwane, Sumant G.

doi:10.1049/cp.2016.1115

Cited by 1 publication

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“…Indeed, many applications have been implemented successfully approaching the problem this way (Chotai and Narwekar, 2017; Copot et al, 2013; Manasa et al, 2015; Maung et al, 2018). However, there are other applications where this assumption is not valid, resulting in poor control performance of the system (Buechner et al, 2013; Kara and Eker, 2004; Mahajan and Deshpande, 2013). Therefore, the control designer needs to use a nonlinear model and design a control algorithm capable of driving the states of the system to the desired point.…”

Section: Introductionmentioning

confidence: 99%

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Predefined-time stabilization of brushed direct current motor system affected by matched and unmatched disturbances and stochastic noises

Cruz

2023

Transactions of the Institute of Measurement and Control

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This paper presents the predefined-time convergent robust controller design for a brushed direct current (DC) motor system affected by matched and unmatched deterministic disturbances and stochastic noises, considering both fully measurable and incompletely measurable states. The control algorithm allows the control designer to set the convergence time a priori. The convergence time is independent of initial conditions and disturbances and noises affecting the system. Numerical simulations are conducted to demonstrate efficiency of the designed control algorithm. The obtained results show that the control algorithm counteracts the matched and unmatched disturbances, and noises in case of fully measurable states and mitigates their influence in case of incompletely measurable ones.

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Section: Introductionmentioning

confidence: 99%

“…Nonlinearities might be present in a system due to different factors, for example, friction, loads coupled to the system, or noises (Mahajan and Deshpande, 2013). These nonlinearities can be external or internal and basically can be modeled as disturbances or noises affecting the system.…”

Section: Introductionmentioning

confidence: 99%

Predefined-time stabilization of brushed direct current motor system affected by matched and unmatched disturbances and stochastic noises

Cruz

2023

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

Optimizing weigh feeder performance using modeling and simulation

Cited by 1 publication

References 0 publications

Predefined-time stabilization of brushed direct current motor system affected by matched and unmatched disturbances and stochastic noises

Predefined-time stabilization of brushed direct current motor system affected by matched and unmatched disturbances and stochastic noises

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