Flatness-Based Tracking of an Electromechanical VVT Actuator with Magnetic Flux Sensor

Chladny, R.R.; Koch, Charles Robert

doi:10.1109/cca.2006.286104

Cited by 5 publications

(2 citation statements)

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“…Knowing the state e.g. of a solenoid valve is a key enabler for a variety of methods in controls and diagnostics for electro-magnetic actuators [1], [2], [3]. A number of methods have been proposed in the scientific as well as in the patent literature [4]- [11].…”

Section: Introductionmentioning

confidence: 99%

Position estimation in electro-magnetic actuators using a modified discrete time class A/B model reference approach

Straußberger

Schwab

Braun

et al. 2014

2014 American Control Conference

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In this paper, the use of a discrete time model reference adaptive approach is proposed for estimating the armature position of electro-magnetic actuators. It is assumed that current and voltage measurements are available, only. It is shown that by identification of the parameters of the electrical subsystem, a unique and accurate estimate for the armature position can be obtained. To this end two discrete time MRAS methods are combined in order to take advantage of complementary properties. It is shown in practical experiments that with this approach robust and fast estimation of the electrical parameters is achieved and the position estimation can thus be solved in real world environments.

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Section: Introductionmentioning

confidence: 99%

Position estimation in electro-magnetic actuators using a modified discrete time class A/B model reference approach

Straußberger

Schwab

Braun

et al. 2014

2014 American Control Conference

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“…In this regard, recent research activities of the authors have addressed the question, if reduction of ohmic and eddy current losses in solenoid actuators is possible by designing energizing schemes in particular ways [6] [7], while the performance in regard of switching time and softlanding is maintained. These questions have been investigated within a model-based framework, utilizing the method of differential flatness, similar to [8] and [9]. Optimized feedforward control strategies have been developed to minimize losses, as suggested by [10] and [11].…”

Section: Introductionmentioning

confidence: 99%

Flatness-based state decomposition in magnetic flux-channel models for solenoid valve control

Rey

Reuter²

2012

2012 American Control Conference (ACC)

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In this paper, a model inversion approach is presented that can be used particularly in cases, where the links between subsystems are hard or even impossible to express within the framework of differential flatness. To overcome this problem, i.e. to establish a link between the desired physical output and the flat output, properties inherent to flat systems are utilized. The method is called flatness-based state decomposition and is applied to a magnetic flux-channel model, within an electromagnetic-mechanical solenoid valve model. This approach shows excellent performance in simulation and has been integrated in the well-established flatness-based optimization scheme for feedforward trajectory generation.

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Model-based control of solenoid actuators using flux channel reluctance models

Reuter

Jakle

Prausse

et al. 2011

2011 16th International Conference on Methods &Amp; Models in Automation &Amp; Robotics

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Flatness-Based Tracking of an Electromechanical VVT Actuator with Magnetic Flux Sensor

Cited by 5 publications

References 0 publications

Position estimation in electro-magnetic actuators using a modified discrete time class A/B model reference approach

Position estimation in electro-magnetic actuators using a modified discrete time class A/B model reference approach

Flatness-based state decomposition in magnetic flux-channel models for solenoid valve control

Model-based control of solenoid actuators using flux channel reluctance models

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