标题： 基于鲸鱼优化算法的分数阶模糊PID麻醉深度控制器 显示英文标题

标题： Whale Optimization Algorithms based fractional order fuzzy PID controller for Depth of Anesthesia

摘要： 手术中最重要的因素之一是麻醉深度（DOA）控制。 主要问题是克服由于患者身体不同生理参数而产生的系统不确定性和非线性，并在手术期间将患者的DOA保持在期望范围内。 本研究展示了分数阶模糊PID控制器（FOFPID）和分数阶PID控制器（FOPID）来解决这个问题。 使用鲸鱼优化算法（WOA）来优化所提出控制器的参数。 通过WOA实现分数阶控制器的微分和积分阶次。 结果表明，FOFPID的性能优于FOPID。 为了检查在存在不确定性时控制器的性能，已对8名患者的生理逻辑模型进行了研究。 建模基于药效学和药代动力学模型。 结果展示了所提出方法的性能。 显示英文摘要

摘要： One of the most important surgical factors is Depth of Anesthesia (DOA) control in patients. The main problem is to overcome the uncertainty and nonlinearity of the system, due to different physiological parameters of the patient's body and maintain DOA of patients in desired range during surgery. This study demonstrates a fractional order fuzzy PID controller (FOFPID) and fractional order PID controller (FOPID) to the problem. The Whale Optimization Algorithms (WOA) is used to optimized the parameters of proposed controllers. The orders of derivative and integral fractional controller is achieved by WOA. The results indicate that FOFPID has a better performance than FOPID. To check the performance of the controllers in presence of uncertainty, physiological logical model of 8 patients has been investigated. The modeling is based on Pharmacodynamic and Pharmacokinetic model. The results show the performance of the proposed method.