Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/6209
Title: D.C. DRIVE USING NEURAL NETWORK CONTROLLER
Authors: Gupta, Vijay Kumar
Keywords: ELECTRICAL ENGINEERING;D.C. DRIVE;NEURAL NETWORK CONTROLLER;NEURAL NETWORK
Issue Date: 1996
Abstract: This dissertation work is concerned with the control of speed of separately excited dc motor through application of neural network technique. The separately exited dc motor, fed from a two quadrant chopper (making use of MOSFET) is operated in PWM mode of operation through control of motor terminal voltage. The gating signals are generated through PC-AT interfaced with Timer and I/O cards. The neural network is used to identify the unknown input-output performance characteristics motor & load. The control objective is to design the software controller so that the motor follows a certain speed trajectory. The neural network is first trained by presenting it with a sequence of speed/ voltage patterns obtained from the experimental set-up and data file for NNW weights is stored for subsequent use. Experimentation is carried out to investigate to drive performance when subjected to a reference speed trajectory. The chopper duty cycle is determined in a closed loop manner using previously trained neural network. The weights of NNW are also on line trained The software is written in "C" Language.
URI: http://hdl.handle.net/123456789/6209
Other Identifiers: M.Tech
Research Supervisor/ Guide: Singh, Y. P.
Verma, V. K.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' DISSERTATIONS (Electrical Engg)

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