This paper presents a method of fuzzy gain scheduling for a PID controller applied to mean arterial pressure (MAP) regulation during general anesthesia by sodium nitroprusside (SNP) infusion. A supervising algorithm is used for online updating the fuzzy gain scheduler of the PID controller to act stronger against the body reaction. A new model based on Slate’s model and Furutani’s ideas was dev...

This paper addresses some of the potential benefits of using f u z z y logic controllers to control an i n v e r t e d pendulum system. The stages of the development of a fuzzy logic controller using a four input T a k a g i -Sugeno fuzzy model were presented. The main idea of this paper is to implement and optimize fuzzy logic control algorithms in order t o balance the inverted pendulum and a...

The intelligent control technology with the traditional control theory formats intelligent compound controller in order to learn from each other and improve the overall advantage of complementary features. Fuzzy PID control neuron PID control, fuzzy sliding mode control, and optimal control of the neural network. This paper discusses the current situation and development of smart composite cont...

Parametric uncertainty is the one of the challenging task in many dynamical systems. In this paper QFT based PID Controller is developed to improve the performance for a pitch control of uncertain aircraft system. The controller is designed based on the dynamic modeling of system begins with a derivation of suitable mathematical model to describe the longitudinal motion of an aircraft. Genetic ...

The concept of grey system theory, which has a certain prediction capability, offers an alternative approach for various kinds of conventional control methods, such as PID control and fuzzy control. For instance, grey PID type fuzzy controller designed in this paper, can predict the future output values of the system accurately. However, the forecasting step-size of the grey controller determin...

In this paper, multi-objective optimization is used for Pareto optimum design of fuzzy fractional-order PID controllers for plants with parametric uncertainties. Two conflicting objective functions have been used in Pareto design of the fuzzy fractional-order PID controller. The results clearly show that an effective trade-off can be compromisingly achieved among the different fuzzy fractional-...

Analytical structure for a fuzzy PID controller is introduced by employing two fuzzy sets for each of the three input variables and four fuzzy sets for the output variable. This structure is derived via left and right trapezoidal membership functions for inputs, trapezoidal membership functions for output, algebraic product triangular norm, bounded sum triangular co-norm, Mamdani minimum infere...

Abstract: In this paper, we present the design and simulation of a new fuzzy logic supervisory control approach that is designed to improve the performance of a PID controlled magnetic levitation system, such systems are inherently unstable and require means of control to stabilize their operation; the fuzzy logic controller continuously monitors system variables (error signal, and its derivati...

A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems . The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, a PID structure based pole (only) placement controller, or a PID structure base...

A novel design a fuzzy proportional integral derivative (PID) controller is using Matlab and programmable logic controllers (PLCs) for a set point voltage control problem in the automatic voltage regulator (AVR) system. The controller objective is to maintain the terminal voltage all the time under any loads and operational conditions by attaining to the desired range via the regulation of the ...