Research of Firing Control Model of Multi-stage Synchronous Induction Coil Launcher

The problem of firing control is a critical technology of multi-stage synchronous induction coil launcher (MSSICL). Operation with high launch efficiency of MSSICL mainly depends on each stage driving coil energized when the armature moves on the proper location. In order to solve the problem of firing control for MSSICL, the firing control model of MSSICL is built based on the dynamically simulative model and the firing control criterion. The dynamically simulative model includes the voltage equations of driving circuit and the kinematic equations. The solved method is provided. In addition, the factors that influence the solved precision of the firing control model of MSSICL are analyzed.

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A production and inventory control model for multi stage make-to-stock manufacturing systems

The Fourth International Conference on Control and Automation 2003 ICCA Final Program and Book of Abstracts ICCA-03 ◽

10.1109/icca.2003.1229222 ◽

2005 ◽

Author(s):

D.L. Capozzi ◽

C. Del Vecchio ◽

L. Glielmo

Keyword(s):

Inventory Control ◽

Manufacturing Systems ◽

Control Model ◽

Multi Stage ◽

Make To Stock ◽

Inventory Control Model ◽

Production And Inventory Control

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Research on Interception Effect of Multi-stage Synchronous Induction Coil Launcher

2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD) ◽

10.1109/asemd49065.2020.9276237 ◽

2020 ◽

Author(s):

Hanning Qian ◽

Zhaolong Sun ◽

Fengrui Cui ◽

Wei Xu

Keyword(s):

Induction Coil ◽

Multi Stage

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Using Age Structure for a Multi-stage Optimal Control Model with Random Switching Time

Journal of Optimization Theory and Applications ◽

10.1007/s10957-019-01598-5 ◽

2019 ◽

Vol 184 (3) ◽

pp. 1065-1082 ◽

Cited By ~ 2

Author(s):

Stefan Wrzaczek ◽

Michael Kuhn ◽

Ivan Frankovic

Keyword(s):

Optimal Control ◽

Switching Time ◽

Control Model ◽

Multi Stage ◽

Numerical Solution Methods ◽

Solution Methods ◽

Random Switching ◽

Age Structured ◽

Two Stages ◽

And Control

AbstractThe paper presents a transformation of a multi-stage optimal control model with random switching time to an age-structured optimal control model. Following the mathematical transformation, the advantages of the present approach, as compared to a standard backward approach, are discussed. They relate in particular to a compact and unified representation of the two stages of the model: the applicability of well-known numerical solution methods and the illustration of state and control dynamics. The paper closes with a simple example on a macroeconomic shock, illustrating the workings and advantages of the approach.

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