Wyniki wyszukiwania - BazTech

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Nonlinear method of precrash vehicle velocity determination based on tensor product of Legendre polynomials - luxury class

Gosławski Łukasz, Sys Ewa, Mrowicki Adam, Krukowski Mateusz, Ma Yanlin, Kubiak Przemyslaw

Archiwum Motoryzacji

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2022

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Vol. 95, nr 1

53--64

EN

Presented paper discusses a new, nonlinear approach to EES (Equivalent Energy Speed) parameter determination in frontal car collisions. This method is based on tensor product of Legendre polynomials and in this case considers Luxury car class. Methods that are used up till now are based on a linear dependency between mass, velocity and deformation. This is of course a simplification that was necessary, due to limitation in computation power of computers when this method was introduced decades ago. The contemporary resources allowed Authors to develop a much more sophisticated method. The mathematical model was developed using data shared by National Highway Traffic Safety Administration (NHTSA). This database covers a large number of test cases along with various information including vehicle mass, crash velocity, chassis deformation etc. New method proves to be more accurate than the currently used approach utilizing linear dependency of deformation force and deformation of the vehicle.

2

Decoupling control for permanent magnet in-wheel motor using internal model control based on back-propagation neural network inverse system

Li Y., Zhang B., Xu X.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2018

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Vol. 66, nr 6

961--972

EN

The permanent magnet in-wheel motor (PMIWM) is a nonlinear, multivariable, strongly coupled and highly complex system. The key to the development and application of the PMIWM consists in the improvement of its control accuracy and dynamic performance. In order to effectively decouple the PMIWM, this paper presents a novel internal model control (IMC) approach based on the back-propagation neural network inverse (BPNNI) control method. First, theoretical analysis is conducted to show the existence of the PMIWM inverse system, to be modeled mathematically. The inverse system approximated and identified by the back-propagation neural network (BPNN) constitutes the back-propagation neural network inverse (BPNNI) system. Then, by cascading the BPNNI system on the left side of the original PMIWM system, a new decoupling, pseudo-linear system is established. Moreover, the 2-DOF internal model control (IMC) method is employed to design the extra closed-loop controller that further improves disturbance rejection and robustness of the whole system. Consequently, the proposed decoupling control approach incorporates the advantages of both the BPNNI and the IMC. Effectiveness of thus proposed control approach is verified by means of simulation and real-time hardware-in-the-loop (HIL) experiments.

3

Study of Magnetic Levitation Spherical Joint with Decoupling Control

Zhang F., Zeng L., Fang C.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 7b

239--242

EN

This paper presents a new magnetic levitation spherical reluctance driving joint. After the analysis of air-gap magnetic theory of the driving joint and the working mechanism of the magnetic levitation force and electromagnetic torque, its mathematical model and the inverse system decoupling model have been established. The decoupling linearization and the state feedback closed-loop control system have been achieved also. The result of system simulation provides us the decoupling characteristic and the dynamic characteristic of the driving joint system.

PL

W artykule zaprezentowano reluktancyjne połaczenie kuliste z lewitacja magnetyczną. Zaprezentowano model matematyczny i odwrotny model odsprzężenia. Przeanalizowano układ ze statycznym sprzężeniem zwrotnym.

4

Inverse systems of linear systems

Kaczorek T.

Archives of Electrical Engineering

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2010

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Vol. 59, nr 3-4

203-216

EN

The concept of inverse systems for standard and positive linear systems is introduced. Necessary and sufficient conditions for the existence of the positive inverse system for continuous-time and discrete-time linear systems are established. It is shown that: 1) The inverse system of continuous-time linear system is asymptotically stable if and only if the standard system is asymptotically stable. 2) The inverse system of discrete-time linear system is asymptotically stable if and only if the standard system is unstable. 3) The inverse system of continuous-time and discrete-time linear systems are reachable if and only if the standard systems are reachable. The considerations are illustrated by numerical examples.