A modified LLC-T (inductor inductor capacitor) series parallel resonant converter (SPRC) has been simulated and the performance is analyzed. The limitations of two element resonant topologies have been removed by adding a third reactive element. The output voltage is regulated using fuzzy logic controller. The simulation study indicates the superiority of fuzzy control over the conventional con...

This paper gives analogies of Hutton’s quasi-uniformities for complete lattices and extensions of Shi’s pointwise quasi-uniformities to closed set lattices.CLGOH denotes the category of all complete lattices with generalized order homomorphisms asmorphisms and CSL the category of all closed set lattices.HQUnif and SPQUnif denote the categories of Hutton quasi-uniform spaces on complete lattices...

This paper proposes the implementation of a fuzzy based robust sliding model control design to obtain voltage regulation in a boost converter with high dc gain. The proposed controller has an inner loop based on slidingmode control whose sliding surface is defined for the input inductor current. The current reference value of the sliding surface is modified by a fuzzy logic controller in an out...

This paper presents a Closed Loop control of CLL-T (Capacitor Inductor Inductor). Series Parallel Resonant Converter (SPRC) has been simulated and the performance is analysised. A three element CLL-T SPRC working under load independent operation (voltage type and current type load) is presented in this paper. The Steady State Stability Analysis of CLL-T SPRC has been developed using State Space...

By normalizing the values of its pixels with respect to the length of the gray scale used, a monochromatic image is interpreted as a fuzzy relation R. We find the GEFS (resp. SEFS) of R, that is the greatest (resp. smallest) eigen fuzzy set with respect to the max-min (resp. min-max) operator. The reconstruction of R is achieved via a genetic algorithm whose initial population of chromosomes is...

Adaptive neuro-fuzzy inference systems exhibit both the numeric power of neural networks and verbal power of fuzzy inference systems. Particularly in control applications, the prime difficulty in selecting the parameters of such systems stems from the unavailability of the desired control inputs. In this paper, a novel approach is presented for the establishment of a sliding mode in the plant u...

This paper presents the development of a vision-based neuro-fuzzy controller for a two axes gimbal system mounted on a small Unmanned Aerial Vehicle (UAV). The controller uses vision-based object detection as input and generates pan and tilt motion and velocity commands for the gimbal in order to keep the interest object at the center of the image frame. A readial basis function based neuro-fuz...

This paper presents a new technique for the design of approximate reasoning-based controllers for dy­ namic physical systems with interacting goals. In this approach, goals are achieved based on a hier­ archy defined by a control knowledge base and re­ main highly interactive during the execution of the control task. The approach has been implemented in a rule-based computer program which is us...

the optimum shape of balance weights is determined, using two different criteria. according to one, one of the balance weights should have minimum size. while the other requires that the mass moment of inertia about the axis of rotation should be minimum. in the second case, the calculus of variation is used to determine the optimum shape. graphs are presented to enable designers to find the di...