Ashwani Kharola

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This paper presents a new methodological approach for selection of appropriate type and number of Membership function (MF's) for the effective control of Double Inverted Pendulum (DIP). A Matlab-Simulink model of the system is built using governing mathematical equations. The relation between error tolerance of successive approximations and the number of(More)
This paper presents a new fuzzy logic reasoning based approach for performance evaluation of students in school or college. The attributes considered for evaluation cover academic as well as personality traits of the students. A Stage-wise fuzzy reasoning approach has been used to eliminate the issues of rule explosion. The comparison between fuzzy and(More)
This paper presents a fuzzy logic control strategy for control and stabilization of TWIPR. The TWIPR considered in the study comprises of a robot chassis mounted on two movable wheels. The research objective is to stabilize the system within desired time, overshoot and steady state error. The Matlab Simulink model of the system was built using mathematical(More)
A Proportional-integral-derivative (PID) control of highly nonlinear and multivariable two stage pendulum is presented. The aim is to settle cart at desired position within 4 seconds while both the pendulums are inclined vertically upwards. Three PID controllers were separately designed for control of each subsystem. Tuning of controller gains were achieved(More)
This paper shows a elaborates new methodology for calculating Adhesive Strength of thin film coating using approximate fuzzy reasoning. This approach mainly focuses on nano and micro thin films for evaluating adhesion strength. The influence of various coating parameters(Critical force, loading rate, Displacement rate, Coefficient of friction, Tip radius(More)