Teaching Preferences
Online Teaching
One-on-One at $0-10 per hour
In Person Teaching
One-on-One at $0-10 per hour
Offers free trial classes
Teaches following Subjects/Exams
Microprocessor Systems (Electronics)
Language of Instruction:
English
Microprocessor Systems (Electronics)
Language of Instruction:
English
Professional Experience
Assistant Professor
Padmasri Dr. BVRIT, Andhra Pradesh, India
Jul 2005 - PresentTeaching, Incharge of Laboratory, Accreditation work, Alumni Events etc.
Education
Bachelor of Technology
Padmasri Dr. B.V. Raju Institute of Technology, India
Sep 1998 - Apr 2002
Got Distinction in B.Tech
Professional Exams & Certifications
M.Tech
JNTU, Anantapur, India
Year Of Passing:
2005
Participated in International Paper Presentation
M.Tech
Andhra Pradesh, India
Year Of Passing:
2005
Publications and Research
Design of New Hybrid Fuzzy Controller for Direct Torque Control of Induction Motor Drives
G. Venu Madhav, Surya Kalavathi, Jaya Lakshmi
In this paper, new Hybrid Fuzzy controller for Direct Torque Control (DTC) of Induction motor drive has been developed. The newly developed Hybrid Fuzzy controller consists of Proportional-Integral (PI) control at steady state, PI-type Fuzzy Logic Control (FLC) at transient state, and a simple switching mechanism between steady and transient states, to achieve satisfied performance under steady and transient conditions. The features of the proposed new Hybrid Fuzzy controller has been highlighted by comparing the performance of various control approaches including PI control and PI-type FLC for DTC-based Induction motor drives. The pros and cons of these controllers are demonstrated by simulation results. It is shown that the proposed control scheme for DTC-based Induction motor drive is with fast tracking capability, less steady state error, and robust to load disturbance while not resorting to complicated control method or adaptive tuning mechanism. The validity of the proposed scheme is verified by the simulation results. The present work is carried out using Power System Block set, Matlab/Simulink and Fuzzy Logic Toolbox.