Application of the Kalman Filters to the High-Performance Drive System With Elastic Coupling

Szabat, K.; Orłowska-Kowalska, Teresa

doi:10.1109/tie.2012.2183836

Cited by 65 publications

(35 citation statements)

References 27 publications

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“…EKF has also been proposed for the joint estimation of mechanical variables and parameters of systems with complex mechanical parts, including elastic couplings [47]- [52]. In these works, the estimation of the load side speed, torsional and load torque as well as the load side inertia have been estimated effectively, using linear and nonlinear EKFs.…”

Section: Overview Of Sensorless Control For Pmsmmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

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487

188

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Abstract-The Kalman filter has received a huge interest from the industrial electronics community and has played a key role in many engineering fields since the 70s, ranging, without being exhaustive, trajectory estimation, state and parameter estimation for control or diagnosis, data merging, signal processing and so on. This paper provides a brief overview of the industrial applications and implementation issues of the Kalman filter in six topics of the industrial electronics community, highlighting some relevant reference papers and giving future research trends.

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Section: Overview Of Sensorless Control For Pmsmmentioning

confidence: 99%

Industrial Applications of the Kalman Filter: A Review

Auger

Hilairet

Guerrero

et al. 2013

IEEE Trans. Ind. Electron.

Self Cite

487

188

View full text Add to dashboard Cite

show abstract

“…Such methods as fuzzy sliding mode control and neural control [3,7], as well as vortex control [14] can be distinguished here, this group of methods ensures good oscillation attenuation and it is additionally characterised by high resistance in the case of wrongly determined drive parameters. Another approach to adaptive is presented in [8,18], here a superior system was used to retune controller setting, it continuously reproduces the unknown and variable parameter. Yet another, not so common, is the sliding mode control [9].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Serkies¹

2017

EiN

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Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Piotr SerkieSComparison of the Control methods of eleCtriCal drives with an elastiC Coupling allowing to limit the torsional torque amplitude porównanie metod sterowania napędem elektryCznym z połąCzeniem sprężystym pozwalająCe na ograniCzenie amplitudy momentu skrętnego* IntroductionModern power transmission systems are expected to show higher dynamics while preserving high precision and reliability. Such requirements results in an increasingly higher use of the properties and strength of construction materials. Therefore, in a growing number of drives one can observe finite stiffness of couplings between a drive and machinery. This problem was initially considered in the heavy industry in various types of machines, such as: rolling mills [13], conveyor belts [10] Various methods are used in the control of vehicle speed or the location of drives with an elastic coupling, starting with simple ones based on a PI controller tuned with account for coupling elasticity [22], to the introduction of additional feedbacks from one to a few state variables to such a controller, a detailed overview of such solutions can be found in [17]. Some other control systems use adaptive control. Such methods as fuzzy sliding mode control and neural control [3,7], as well as vortex control [14] can be distinguished here, this group of methods ensures good oscillation attenuation and it is additionally characterised by high resistance in the case of wrongly determined drive parameters. Another approach to adaptive is presented in [8,18], here a superior system was used to retune controller setting, it continuously reproduces the unknown and variable parameter. Yet another, not so common, is the sliding mode control [9].In the case drives with an elastic coupling, the major challenge faced by the control system is the attenuation of the oscillation of electro-mechanical state variables. However, another issue which appears in the discussed group of drives is the limitation of the torsional torque amplitude in such a way that the lives of mechanical couplings can be extended, which improves the reliability of the whole drive system. However, the above described methods do not allow to introduce the restriction of the values of state variables (torsional torque) in a simple way. The only restricted values is the set electromagnetic torque (control signal). In such systems the only way to limit the amplitude of internal state variables is weakening the dynamics of the whole system. Another approach which allows to introduce the value restrictions of a selected state variable is using the cascade control structure in which a separate, subordinate control loop is formed. Then it is possible to restrict such state variable [16]. One of the methods allowing to introduce the restrictions of the values of state variables is predictive control. This method allows to introduce limitations as early as the ...

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“…The theoretical study to deal with the stochastic disturbance began with the prediction and estimation of the signal for the filtering problems of Wiener. In a state feedback control system, afterward, the optimal estimation of the output signal using Kalman filter and the extended Kalman filter was proposed (15)- (17) . Furthermore, the Particle filter that is estimated by the Monte Carlo method against the non-Gaussian stochastic disturbance was presented and applied to motor control (18) .…”

Section: Introductionmentioning

confidence: 99%

Modeling of Stochastic Disturbance Based on Quantum Physics for High-Performance Force Estimation

Takeya

Katsura

2015

IEEJ Journal IA

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Delicate movement with high-precision performance is required in industrial areas such as medical care and semiconductor processing. Taking the expansion of the robotic movement area into account, attainment of force control is the one of the fundamental techniques for working in a microspace. To focus on the force information in a microspace, the transmission of microforce information is important to avoid destruction of the delicate object. However, the quality of force information is deteriorated by the influence of a stochastic disturbance such as quantization noise and sensor noise. In other words, high-precision force control is closely related to a reduction in the influence of the stochastic disturbance. Therefore, this paper focuses on the stochastic disturbance as a quantum fluctuation that is derived as the Schrödinger equation. In order to reduce the stochastic disturbance, a novel modeling method that is focused on quantum fluctuation is proposed. In this paper, a resonant filter is introduced by a complex equivalent electrical circuit of the Schrödinger equation, and a reaction force observer is implemented. The viability of the proposed method and the reduction in the oscillation are confirmed by the displacement of the poles and experiments.

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Application of the Kalman Filters to the High-Performance Drive System With Elastic Coupling

Cited by 65 publications

References 27 publications

Industrial Applications of the Kalman Filter: A Review

Industrial Applications of the Kalman Filter: A Review

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Modeling of Stochastic Disturbance Based on Quantum Physics for High-Performance Force Estimation

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