Design of Adaptive Chaotic Gradient Optimization Algorithm and Its Application in Electromagnetic Disturbance Testing

2010 ◽  
Author(s):  
Jianzhong Cao ◽  
Jinqiu Huang ◽  
Zhiming Chen
Keyword(s):  
Optimization Algorithm ◽  
Electromagnetic Disturbance ◽  
Gradient Optimization

scholarly journals Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

2017 ◽  
Vol 65 (4) ◽  
pp. 479-488 ◽  
Author(s):  
A. Boboń ◽  
A. Nocoń ◽  
S. Paszek ◽  
P. Pruski
Keyword(s):  
Parameter Estimation ◽  
Objective Function ◽  
Optimization Algorithm ◽  
Least Squares Method ◽  
Synchronous Generator ◽  
Operating Conditions ◽  
Model Parameters ◽  
State Variables ◽  
Starting Point ◽  
Gradient Optimization

AbstractThe paper presents a method for determining electromagnetic parameters of different synchronous generator models based on dynamic waveforms measured at power rejection. Such a test can be performed safely under normal operating conditions of a generator working in a power plant. A generator model was investigated, expressed by reactances and time constants of steady, transient, and subtransient state in the d and q axes, as well as the circuit models (type (3,3) and (2,2)) expressed by resistances and inductances of stator, excitation, and equivalent rotor damping circuits windings. All these models approximately take into account the influence of magnetic core saturation. The least squares method was used for parameter estimation. There was minimized the objective function defined as the mean square error between the measured waveforms and the waveforms calculated based on the mathematical models. A method of determining the initial values of those state variables which also depend on the searched parameters is presented. To minimize the objective function, a gradient optimization algorithm finding local minima for a selected starting point was used. To get closer to the global minimum, calculations were repeated many times, taking into account the inequality constraints for the searched parameters. The paper presents the parameter estimation results and a comparison of the waveforms measured and calculated based on the final parameters for 200 MW and 50 MW turbogenerators.

A Conjugate Gradient Optimization Algorithm for Wavy Trajectory of Missile

2013 ◽  
Vol 427-429 ◽  
pp. 1368-1371 ◽  
Author(s):  
Zhi Gang Wang ◽  
Ning Zhang
Keyword(s):  
Optimization Algorithm ◽  
Conjugate Gradient ◽  
Optimization Model ◽  
Gradient Optimization ◽  
Penetration Ability ◽  
Specific Formula ◽  
Optimizing Algorithm ◽  
Conjugate Gradient Optimization

Since the traditional parabola trajectory is prone to be head off, wavy trajectory has the flight characteristics of defense penetration ability and increasing range. On the basis of flight characteristics of wavy trajectory missile, a method for flight program angle was designed. A specific formula was given. An optimization model was established. A conjugate gradient optimizing algorithm was used to solve the model and the result is compared with the former trajectory. It shows that optimized wavy trajectory can prove the feasibility of increasing range and valid defense penetration ability.

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