Optimization Based Integrated Fuzzy Logic PID Controller for Networked Controlled Systems (NCSs)

Debashish Pal, Shiv Kumar Bhagat
<span title="">2019</span> <i title="Horizon Research Publishing Co., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/46kwywy775dcvow6j4p2qx6pbu" style="color: black;">Universal Journal of Electrical and Electronic Engineering</a> </i> &nbsp;
Nowadays, real-time control networks are becoming an emerging trend in the application of several fields like in remote campaign telecasting. Networked control systems (NCSs) are denoted as spatially distributed systems where the actuators, controllers and sensors are linked over a common band-limited wireless/wired digital communication network. The communication of data in the network plays a pivotal role in a system for its accurate working and as such the network-induced delays becomes a
more &raquo; ... or challenging factor in the transmission of data from one source to another source especially for systems with real-time applications. Therefore, this delay factor should be analyzed and improved further. To overcome this network-induced delay factor along with problems of packet dropouts, fault occurrence and also increasing the stability, a novel technique through this paper is proposed. Here, initially the parameter initialization is done and transmission of data in the network is estimated and evaluated by the use of PID controller which is responsible for estimating the delay factors at the time of communication of data between the nodes. Also, a fuzzy logic parameter is integrated with PID controller to get a measure of probabilistic delay and fault occurrence. Finally, output of this network system is improved by using a novel optimization technique like an improved grey wolf optimization and an enhanced whale optimization. Finally, the performance analysis is done and results thus obtained validates the utility of this method in terms of lower amount of delays with lesser packet dropouts and an enhanced accuracy level in comparison to the traditional methods.
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