Sensors, Vol. 20, Pages 4454: Intelligent Controller Design by the Artificial Intelligence Methods

Sensors, Vol. 20, Pages 4454: Intelligent Controller Design by the Artificial Intelligence Methods
Sensors doi: 10.3390/s20164454
Authors:
Jana Nowaková
Miroslav Pokorný

With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes. Standard controllers are available and successfully implemented. However, with the data-driven era we are facing nowadays, there is an opportunity to use controllers, which can include much information, elusive for common controllers. Our goal is to propose a design of an intelligent controller–a conventional controller, but with a non-conventional method of designing its parameters using approaches of artificial intelligence combining fuzzy and genetics methods. Intelligent adaptation of parameters of the control system is performed using data from the sensors measured in the controlled process. All parts designed are based on non-conventional methods and are verified by simulations. The identification of the system’s parameters is based on parameter optimization by means of its difference equation using genetic algorithms. The continuous monitoring of the quality control process and the design of the controller parameters are conducted using a fuzzy exp...

Source: Sensors - August 9, 2020 Category: Biotechnology Authors: Jana Nowakov á Miroslav Pokorn ý Tags: Article Source Type: research