Malik Abdulrazzaq Alsaedi

Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation

Integrated model is developed by combining genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic approaches.Optimal PID gains obtained by the proposed RBF-NN tuning for various operating conditions are used to develop the rule base of the Sugeno fuzzy system.The RBF-NN is used to enhance the PID parameters obtained from GA.Enhanced PID parameters are used to design Sugeno fuzzy PID controller tuned by excitation parameter (Ke, ?e) of the AVR system to improve the systems response. We report a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system, using a combined genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic approaches. GA and a RBF-NN with a Sugeno fuzzy logic are proposed to design a PID controller for an AVR system (GNFPID). The problem for obtaining the optimal AVR and PID controller parameters is formulated as an optimization problem and RBF-NN tuned by GA is applied to solve the optimization problem. Whereas, optimal PID gains obtained by the proposed RBF tuning by genetic algorithm for various operating conditions are used to develop the rule base of the Sugeno fuzzy system and design fuzzy PID controller of the AVR system to improve the systems response (~0.005s). The proposed approach has superior features, including easy implementation, stable convergence characteristic, good computational efficiency and this algorithm effectively searches for a high-quality solution and improve the transient response of the AVR system (7E-06). Numerical simulation results demonstrate that this is faster and has much less computational cost as compared with the real-code genetic algorithm (RGA) and Sugeno fuzzy logic. The proposed method is indeed more efficient and robust in improving the step response of an AVR system.

In Situ Detection and Localization of Partial Discharge Using Acoustic Sensors

The partial discharge (PD) phenomenon is very harmful for electrical appliances and its early detection could be a cost effective approach for the industry. Although many techniques are used for PD detection yet no technique has presented widely acceptable solution. Still the subject needs parallel study of the detection techniques. In this study, partial discharge signal has been captured by the three techniques using fiber optic sensor (FOS), Piezoelectric Sensor (PZT), leakage current (LC) techniques. In these experiments, FOS shows good sensitivity in the range of applied high voltage > 5 kV. The sensitivity and noise level of PD signal was different in these two experiments. The location of a PD was demonstrated in a 500 gallon water tank using convolution method.

Partial Dicharge Signal Analysis in Insulation Oil Using Optical Chromatic Technique

In this work optical chromatic approch has been use to analyze PD signals in insulation oil. The study of chromatic approach of acoustic emission for PD phenomenon addressing PD signals with three detectors red, green and blue (R,G,B) having non-orthogonal (overlapping) responses. The outputs of the three detectors are transformed into a number of chromatic parameters designated x, y, z as well as hue, lightness and saturation (H,L,S). The x, y, z represents the proportion of the signal from each of the three processors while H, L, S represents the dominant phase, effective strength and notional spread of the PD signals respectively. This technique provides a high degree of traceability in relating the chromatic parameters to the raw PD signals. Changes in the values of the chromatic parameters are shown to reflect various PD trends and to provide early indications of incipient insulation failure and PD source discrimination.

In Situ Detection of Partial Discharge Using Leakage Current, Fiber Optic Sensor and Piezoelectric Sensor Techniques

The partial discharge (PD) phenomenon is very harmful for electrical appliances and its early detection could be a cost effective approach for the industry. Although many techniques are used for PD detection yet no technique has presented widely acceptable solution. Still the subject needs parallel study of the detection techniques. In this study, partial discharge signal has been captured by the three techniques using fiber optic sensor (FOS), Piezoelectric Sensor (PZT), leakage current (LC) techniques. In these experiments, FOS shows good sensitivity in the range of applied high voltage > 5 kV. The sensitivity and noise level of PD signal was different in these two experiments.