Modeling and control of the silicon production process system using robust inventory control strategy

2005 ◽  
Author(s):  
Jin Wang ◽  
E.B. Ydstie
Keyword(s):  
Production Process ◽  
Inventory Control ◽  
Control Strategy ◽  
Modeling And Control ◽  
Silicon Production ◽  
Process System ◽  
And Control

scholarly journals A Switching System oriented Modeling and Control Strategy for Idle Speed Control of a Hybrid Powertrain

2020 ◽  
Vol 53 (2) ◽  
pp. 14028-14033
Author(s):  
Micha S. Obergfell ◽  
Steven X. Ding ◽  
Frank Wobbe ◽  
Christoph-Marian Goletz ◽  
Michael Folkers ◽  
...  
Keyword(s):  
Control Strategy ◽  
Speed Control ◽  
Switching System ◽  
Hybrid Powertrain ◽  
Modeling And Control ◽  
Idle Speed ◽  
Idle Speed Control ◽  
And Control

Biostability in distribution systems in one city in southern China: Characteristics, modeling and control strategy

2014 ◽  
Vol 26 (2) ◽  
pp. 323-331 ◽  
Author(s):  
Pinpin Lu ◽  
Xiaojian Zhang ◽  
Chiqian Zhang ◽  
Zhangbin Niu ◽  
Shuguang Xie ◽  
...  
Keyword(s):  
Control Strategy ◽  
Distribution Systems ◽  
Southern China ◽  
Modeling And Control ◽  
And Control

NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao
Keyword(s):  
Dynamic Systems ◽  
Control Strategy ◽  
Neural Modeling ◽  
Modeling And Control ◽  
Control Scheme ◽  
The Neural Networks ◽  
Adaptive Control Strategy ◽  
Set Up ◽  
Modeling Strategy ◽  
And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

A Complete Modeling and Control for Wind Turbine Based of a Doubly Fed Induction Generator using Direct Power Control

2017 ◽  
Vol 8 (4) ◽  
pp. 1954 ◽  
Author(s):  
Fawzi Senani
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Control Strategy ◽  
Reactive Power ◽  
Maximum Efficiency ◽  
Direct Power ◽  
Direct Power Control ◽  
Modeling And Control ◽  
Doubly Fed ◽  
And Control

<span lang="EN-US">The paper presents the complete modeling and control strategy of variable speed wind turbine system (WTS) driven doubly fed induction generators (DFIG). A back-to-back converter is employed for the power conversion exchanged between DFIG and grid. The wind turbine is operated at the maximum power point tracking (MPPT) mode its maximum efficiency. Direct power control (DPC) based on selecting of the appropriate rotor voltage vectors and the errors of the active and reactive power, the control strategy of rotor side converter combines the technique of MPPT and direct power control. In the control system of the grid side converter the direct power control has been used to maintain a constant DC-Link voltage, and the reactive power is set to 0. Simulations results using MATLAB/SIMULINK are presented and discussed on a 1.5MW DFIG wind generation system demonstrate the effectiveness of the proposed control.</span>

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