A Dynamic State Space Model of a MHO Distance Relay

1985 ◽  
Vol PAS-104 (12) ◽  
pp. 3558-3564 ◽  
Author(s):  
Z. Peng ◽  
M. Li ◽  
C. Wu ◽  
T. Cheng ◽  
T. Ning
Keyword(s):  
State Space ◽  
State Space Model ◽  
Dynamic State ◽  
Distance Relay ◽  
Space Model

A Dynamic State Space Model of an MHO Distance Relay

1985 ◽  
Vol PER-5 (12) ◽  
pp. 51-52
Author(s):  
Z. Peng ◽  
M. S. Li ◽  
C. Y. Wu ◽  
T. C. Cheng ◽  
T. S. Ning
Keyword(s):  
State Space ◽  
State Space Model ◽  
Dynamic State ◽  
Distance Relay ◽  
Space Model

A New Dynamic State Space Model for the Cylindrical Grinding Process

2005 ◽  
Author(s):  
Cheol W. Lee
Keyword(s):  
Surface Roughness ◽  
State Space ◽  
State Space Model ◽  
Dynamic State ◽  
Grinding Process ◽  
Cylindrical Grinding ◽  
Space Model ◽  
Proposed Model ◽  
Grinding Power ◽  
Actual Part

A new dynamic state space model is proposed for the in-process estimation and prediction of part qualities in the plunge cylindrical grinding process. A through review on various grinding models in literature reveals a hidden dynamic relationship among the grinding conditions, the grinding power, the surface roughness, and the part size due to the machine dynamics and the wheel wear, based on which a nonlinear state space equation is derived. After the model parameters are determined according to the reported values in literature, several simulations are run to verify that the model makes good physical sense. Since some of the output variables, such as the actual part size, may or may not be measured in industry applications, the observability is tested for different sets of outputs in order to see how each set of on-line sensors affects the observability of the model. The proposed model opens a new way of estimating the part qualities such as the surface roughness and the actual part size based on application of the state estimation algorithm to the measured outputs such as the grinding power. In addition, a long term prediction of the part qualities in batch grinding processes would be realized by simulation of the proposed model. Possible applications to monitoring and control of grinding processes are discussed along with several technical challenges lying ahead.

scholarly journals Wireless Charging Efficiency Optimization Method Based on Adaptive Robust Control

2021 ◽  
pp. 332-340
Author(s):  
Junping Qi , Yanhua Lei ,Pengxiang Qi
Keyword(s):  
State Space ◽  
Power Transmission ◽  
State Space Model ◽  
Adaptive Robust Control ◽  
Dynamic State ◽  
Wireless Charging ◽  
Characteristic Analysis ◽  
Space Model ◽  
Charging System ◽  
Voltage Dependent

This paper designs, analyzes and optimizes the electric vehicle wireless charging system and its control method. Compared with the traditional plug-in conduction charging, wireless charging is more convenient, safe, reliable and has better environmental adaptability. Inductive power transmission technology (IPT) is the main technology for wireless charging of electric vehicles and plug-in hybrid vehicles. Based on the fundamental approximation method, the critical self inductance of the primary or secondary coil is derived in this paper. This critical value reflects the power transmission capacity and control performance of the two chargers when they are interoperable. Compared with the non integrated structure, the magnetically integrated LCC compensated wireless charging system can transmit the same power with smaller compensation inductance. Based on the voltage dependent dynamic state space model, four working modes of magnetically integrated LCC compensated wireless charging system are studied in this paper. Simulation and experimental results show that the voltage dependent equivalent circuit model can be effectively applied to the basic characteristic analysis of wireless charging system. The voltage dependent dynamic state space model is more accurate and realistic. In addition to reflecting the basic characteristics of the wireless charging system, it can also reflect the working mode of the wireless charging system.

Steady-State and Dynamic State-Space Model for Fast and Efficient Solution and Stability Assessment of ASDs

2011 ◽  
Vol 58 (7) ◽  
pp. 2836-2847 ◽  
Author(s):  
Juan Segundo-Ramirez ◽  
Ernesto Barcenas ◽  
Aurelio Medina ◽  
Victor Cardenas
Keyword(s):  
Steady State ◽  
State Space ◽  
Efficient Solution ◽  
State Space Model ◽  
Dynamic State ◽  
Stability Assessment ◽  
Space Model
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