نویسندگان
1 دانشگاه یزد، دانشجوی دکتری مهندسی برق- مخابرات
2 دانشگاه یزد، معاون پژوهشی، دکترای مهندسی برق- الکترونیک
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Networked Control Systems (NCSs) are used to control a remote process via data communication network. Two
major drawbacks in these systems are network time delay and network packet loss. Fuzzy logic controllers due
to their nonlinear inherent could be a good solution choice for controlling processes. In this paper, fuzzy logic
controller can be adapted using a nonlinear system such as neural network. Fuzzy logic controller rules table
rotates based on a nonlinear relation of network time delay estimation. The value of rotation was calculated
using a neural network. Unlike some other similar works, this paper uses Markov chain to model packet loss
instead of Bernoulli modeling. This method has the advantage of considering packet loss events consecutively.
Simulation results show that if the network time delay is about 600 ms, then in the case that packet loss occurs
consecutively with rate of 70%, the index of proposed controller performance is improved about 3 and 7 times
in comparison with performance index of Smith predictor and fuzzy logic controller, respectively.
کلیدواژهها [English]
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