Design and Analysis of Optimization based Integrated ANFIS- PID Controller for Networked Controlled Systems (NCSs).

• Main Authors: Debashish Pal, S.K. Bhagat
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2020-01-01
• Series: Cogent Engineering
• Subjects: networked control system; artificial neuro-fuzzy inference system; pid; grey wolf optimization
• Online Access: http://dx.doi.org/10.1080/23311916.2020.1772944

Frequent occurrence of control loops in network systems leads to various issues such as packet loss, random delays, multi-packet transmission etc. Actually, in networked control systems, random delays present more significant and challenging issue. In order to enhance the performance of the network, various soft computing techniques were presented in previous works for both scenarios i.e. with delay and without delay, in which Fuzzy-PID controllers were regarded as the most efficient one. However, it is analyzed that Fuzzy-PID approach lacks in some aspects that leads to inefficient system performance. Therefore, in this paper, a novel and more efficient approach is introduced, i.e. ANFIS-PID controller. Also, this presented ANFIS-PID controller is a modified version of traditional ANFIS approach and it is optimized by using Grey Wolf Optimization (GWO) algorithm. The simulation of the proposed approach is processed for both with and without time delay consideration to perform analysis over Peak Overshoot, Settling Time and Rise Time of the network. The outcomes represent that the proposed model is quite efficient and successful to achieve the system output with lesser transmission delays and packet dropouts along with the enhanced accuracy level in comparison to the traditional system.