PID Controller With Fuzzy Inference System As Simple Feedback For Closed Loop Control Of Intravenous Anesthesia
Kalyani Bhole
Kalyani Bhole, Department of Instrumentation and Control, College of Engineering Pune, India.
Manuscript received on September 21, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 3163-3168 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9859109119/2019©BEIESP | DOI: 10.35940/ijeat.A9859.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Type 1 Fuzzy Inference System, PID controller, Intravenous Anesthesia, Field Programmable Gate Arrays, Mean Arterial Pressure, Heart Rate, Oxygen Saturation.