Swapnil Patil

Ameloblastoma is a tumor that arises from odontogenic epithelium with an estimated incidence in the population of approximately 0.5 per million. The ameloblastoma is the second most common odontogenic tumor. It occurs exclusively in the jaws, with a strong predilection for the posterior region of the mandible. Although benign, the ameloblastoma is a destructive tumor, locally invasive and presents a high rate of recurrence despite adequate surgical removal. It is considered the most clinically significant odontogenic tumor. A number of benign and malignant neoplasms as well as cystic lesions may mimic the histological appearance of ameloblastoma. It is important to establish the precise diagnosis of these lesions since the biological behavior and treatment varies according to the diagnosis. The proper understanding of the pathogenetic mechanism involved in ameloblastoma and its proliferation aids in constituting proper treatment of choice at an early stage thereby preventing morbidity associated with extensive therapy.

This project mainly deals with the fuzzy control strategies for the control and observation of induction motor. Induction motor control is a challenging problem due to internally nonlinear and high order nature of the motor. The fuzzy logic controller (FLC) is chosen because of following advantages as: (i) wider range of operating conditions can be covered using FLC. (ii) Easier to adapt in terms of simple language. (iii) they are economical to develop. For indirect vector control the reference speed of induction motor has been used and control architecture includes some rules. These rules provides relationship between two inputs and one output. Speed error and rate of change of the speed error are considered as the input linguistic variables and the torque-producing current component is considered as the output linguistic variables. The errors are evaluated according to rules defined by membership functions. The complete vector control scheme of the induction drive incorporating the FLC is implemented using MATLAB simulation. .