STABILITY ANALYSIS OF SEPIC CONVERTER USING MATLAB/SIMULINK
DC-DC converter is a converter where we are regulating the input voltage to get the desired output voltage which is either greater than or equal to or less than the input voltage with positive or negative polarity. A lot of dc-dc converters are available in the world out of which SEPIC (Single-Ended Primary-Inductor Converter) converter is one of them. To analyse the converter, a lot of techniques are available. This paper presents the use of MATLAB/SIMULINK to study the stability of the converter. The state space technique is applied to this higher order converter and converted into transfer function. The reduced order technique is applied to the system and compared with the higher order system which gives approximate results for all type of analysis.
Stability Analysis and Optimization of Simulated Annealing (SA) Algorithm Based PID Controller for DC-DC SEPIC Converter
This paper presents an investigative study on closed loop stability of SEPIC (Single-Ended Primary Inductor Converter) converter. Simulated Annealing algorithm based optimization technique is deployed to design an optimized controller for the SEPIC converter. Simulated Annealing (SA) algorithm is an algorithm based on the principles of thermodynamics where the analogy of cooling of metal and freezing into a minimum energy level is utilized and is widely used as an optimization technique in power electronics. State Space Average method is employed to model and obtain the transfer function of the converter based system. Hence, SA based PID controller is designed so that the stability of the converter can be evaluated and compared with conventional PID controller. Different performance parameters like percentage of overshoot, rise time, settling time and peak amplitude are taken into account to investigate the stability of the system by two fitness functions (IAE and ISE). MATLAB is used in order to carry out the simulations and hence, a comparative study is reported where the performances are evaluated.
ANALYSIS OF BOLT′S ANCHORING QUALITY BASED ON WAVELET NEURAL NETWORK
The dynamic response of bolt achieved by impact-echo method can be effected easily by some factors.It′s difficult to classify bolt′s anchoring quality according to the dynamic response of bolt.In this paper,a new analytical method of bolt′s dynamic response is put forward.The new analytical method combing with advantages of wavelet analysis and artificial neural network is presented.Firstly,the dynamic response of bolt by numerical simulation software FLAC3D is obtained.Secondlyt,he features are extracted from the dynamic response of bolt by wavelet analysis.Thirdlyt,hese features are fed into the artificial neural network for training.Finallyt,his artificial neural network to classify the bolt′s anchoring quality intelligent according to the dynamic response of bolt is employed.In order to validate this new analytical method,some practical signals of bolt′s dynamic response are used for the test.The results indicate that the new analytical method is practicable.