Automatic Grinding Control using Adaptive Minimum Variance Control Theory with Temperature Fuzzy Controlling
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 10
Abstract
The paper displays the inference of a new multivariable adaptive controller, which minimizes an expense function, incorporating input framework, yielding more set points. It gives an adaptive system which ensures minimum variance of parameters. Under the direct adaptive control scheme, minimum variance control is applied to find the control law to make the output track a desired reference signal. It tracks the pre-defined set-points. This signal transforms with those wanted speed from claiming response and they penalizes an unreasonable control action. Simulation study is also made to verify the developed results. The temperature control system is increasingly playing an important role in industrial production. Recently, lot of researches is going on temperature control systems with various control strategies. The temperature control system based on fuzzy selftuning is adopted in this paper. The simulation results show that the validity of the adopted strategy is more effective to control temperature in industrial grinding.
Authors and Affiliations
Voora. S. N. V. S. R. Phanikumar, E. V. Narayana
Keywords
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- EP ID EP28283
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