College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Computer science & Sliding mode control. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

Modeling and Sliding Mode Control of Flexible Structure

Abstract: Modeling of flexible structure and its control using sliding modes is investigated in this paper. A system of Flexible Inverted Pendulum(FIP) with bobmass on its tip, cantilevered vertically on a cart, is taken as a representative case of flexible structures. Mechanical modeling of this system is proposed using a new approach. The pendulum is assumed to be made up of chain of multiple small sub-links. Torsional springs of different stiffnesses are then assumed at each joint (between successive links) in its structure. The flexibility of pendulum is accounted by specifying definite stiffness value to each torsional spring, in decreasing order from bottom to top. Complete mathematical model is derived considering multibody mechanical system using energy approach. The proposed model is validated with experimental data obtained from actual plant behavior. Sliding Mode Control (SMC) is then developed for this system. A stable sliding surface is designed. Controller is then synthesized using Gao’s power rate reaching law. Performance of this controller is tested in simulation. Robustness of this sliding mode controlled system, against disturbances, is confirmed from simulation results.

Design of novel optimal complex-order controllers for systems with fractional-order dynamics

Abstract: Use of fractional-order controllers for fractional-order systems is now a well established field. Recently, there have been attempts to extend the concept of fractional-order control to complex-order control involving derivative and integral operators with complex-order ( $$q=u+iv$$ ). The paper presents the design of two new complex-order controllers using genetic algorithms. The performance of these two complex-order controllers is tested for various types of fractional-order plants. A comparative study between integer-order, fractional-order and the two new complex-order controllers is also presented. It is shown with simulations that complex-order controllers, owing to their increased flexibility, give superior closed-loop time-domain performances for these systems.

Score level fusion based Multimodal biometric identification using Thepade's Sorted Ternary Block Truncation coding with variod proportion of Iris, Palmprint, Left Fingerprint & Right Fingerprint with asorted similarity measures & different Colorspaces

Abstract: Biometric is used to automate the measurement of biological data. The measurement and recording of the physical characteristics of an individual for the use in subsequent personal identification. Multimodal biometric authentication is system which uses two or more biometric trait. It provides more immunity against spoofing. To reduce feature vector size and to improve genuine acceptance rate proposed technique is developed. In this paper fusion of Left Fingerprint, Right Fingerprint, Iris, Palmprint are experimented. Multimodal biometrics having different level fusion such as score level fusion, feature level fusion, decision level fusion. In this paper score level fusion is considered for experimentation. Score level fusion contains more gratified and worthful information. Here different score proportions are experimented and performance efficiency is measured using genuine acceptance ratio (GAR). True acceptance rate of recognition is increased because of multiple biometrics characters. In proposed technique features are extracted using Thepade's sorted ternary block truncation coding. Using TSTBTC and matching score proportion Iris: Palm print: Left Fingerprint: Right Fingerprint(40∶2∶1∶1) gives better performance as indicated by higher GAR values observed by 71.86%.