2009
DOI: 10.1016/j.crme.2009.03.009
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Modeling and identification of a solenoid valve for PWM control applications

Abstract: In this Note, a nonlinear dynamic model of a PWM-driven pneumatic fast switching valve is presented. The electro-magnetic, mechanical and fluid subsystems of the valve are investigated, including their interactions. Unknown parameters are identified using direct search optimization and model validation is performed by comparing the simulated and measured current curves. In order to use this model in PWM control applications, a simplification strategy is also proposed and a static model is obtained between the … Show more

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Cited by 164 publications
(87 citation statements)
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“…Calculation of Attractive Force by the Probable Flux Paths Method [14,15] Since the ferromagnetic substance used in the solenoid actuator has much higher permeability than the surrounding space, the generated magnetic flux does not escape and instead mostly passes through the ferromagnetic substance. Therefore, the magnetic flux forms a magnetic circuit.…”
Section: Calculation Of Temperature Increasementioning
confidence: 99%
“…Calculation of Attractive Force by the Probable Flux Paths Method [14,15] Since the ferromagnetic substance used in the solenoid actuator has much higher permeability than the surrounding space, the generated magnetic flux does not escape and instead mostly passes through the ferromagnetic substance. Therefore, the magnetic flux forms a magnetic circuit.…”
Section: Calculation Of Temperature Increasementioning
confidence: 99%
“…The PWM signal frequencies f PWM [Hz] 50 Hz [7], 100 Hz [8], up to 50 Hz [9], 100 Hz [10], 50 Hz [11] and 20 to 60 Hz [12]. Efforts were made to develop electro-pneumatic valve models based on the electrical and pneumatic parts modelling and to use these models in a PWM-driven pneumatic system [8], [9] and [13].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a tradeoff is required for the optimal design. Moreover, the coil and yoke size must be carefully designed due to the limited space available [8,9]. For the optimal design process, we used the commercial optimization software PIAnO (Process Integration and Design Optimization), which provides the design of experiment (DOE), approximation, and optimization functions (Ver.3.5.0.74, PIDOTECH, South Korea).…”
Section: Introductionmentioning
confidence: 99%