Open AccessPID Controller With Fuzzy Inference System As Simple Feedback For Closed Loop Control Of Intravenous Anesthesia
Author(s) -
Kalyani Bhole
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9859.109119
Subject(s) - pid controller , overshoot (microwave communication) , computer science , control theory (sociology) , controller (irrigation) , fuzzy logic , open loop controller , control engineering , controlled substance , fuzzy control system , inference , control system , adaptive neuro fuzzy inference system , control (management) , closed loop , artificial intelligence , temperature control , engineering , medicine , medical prescription , telecommunications , agronomy , electrical engineering , pharmacology , biology
Anesthesia is an imperative activity during operation. Anesthesiologist perceives patient’s physiology and adjusts the drug rate. Sometimes, it may go overdose or under-dose which is proscribed. This process is merely in need of an expertise which in turn, may not be available every time and everywhere. But we can store this expertise with the help of fuzzy inference system and utilize it to judge the depth of anesthesia. A genuine effort has been made to design a PID controller with fuzzy inference system as simple feedback to control intravenous anesthetic drug delivery. This paper demonstratesthe design and implementation of experts’ based system with PID controller and comparison of the same with open loop target controlled infusion and fuzzy inference system without a controller. The conclusion of this study is that the PID controller with fuzzy inference system as simple feedback gives fast response with no overshoot. Ultimate prototype is implemented on Xilinx’s Spartan 3E Field Programmable Gate Array.