Open Access

ARTICLE

Intelligent Computing and Control Framework for Smart Automated System

R. Manikandan^1,*, G. Ranganathan², V. Bindhu³

1 Department of EEE, PSN Institute of Technology and Sciences, Tirunelveli, 627012, India
2 Department of ECE, Gnanamani College of Technology, Namakkal, 637018, India
3 Department of ECE, PPG Institute of Technology, Coimbatore, 641035, India

* Corresponding Author: R. Manikandan. Email:

Intelligent Automation & Soft Computing 2022, 33(1), 173-189. https://doi.org/10.32604/iasc.2022.023922

Received 26 September 2021; Accepted 03 November 2021; Issue published 05 January 2022

Abstract

This paper presents development and analysis of different control strategies for smart automated system. The dynamic role of an electrical motor and sensor interfacing with wireless module becomes an essential element in a smart agriculture system to monitor various environmental parameters. The various key parameters such as temperature, humidity, air pressure, soil health and solar radiation are widely used to analyze the growth of plants and soil health based on different climate conditions. However, the smart development of an automatic system to measure these vital parameters provides a feasible approach and helps the farmers to monitor their crops productivity. In this paper, a smart sensor based intelligent and automatic control strategies such as fuzzy logic controller and PID (Proportional Integral Derivative) controller is developed to collect the real time environmental parameters and to adapt any environmental conditions by updating their membership functions automatically with the help of sensor outputs. This paper targets to bring the usage of sensor-based intelligent and automatic control methods in the field of an agriculture system which includes automatic solar panel tracking and control, environmental vital parameters measurement, monitoring and implementation of intelligent control methods. The different experiments have been carried out with the support of graphical and microcontroller programming environment. Experimental results provide that the proposed system effectively measure the environmental parameters and provide an accurate transmission of data for continuous monitoring. The advantage of the proposed system is simple, easy to implement and maintain the dynamic environment for plants with respect to any climate conditions.

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Keywords

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