This paper presents genetic algorithms (GAs) to perform the optimal design of an auto-tuning fuzzy proportional-integral-derivative (PID) controller and to determine the minimal number of fuzzy rules simultaneously. Different from PID controllers with fixed gains, the fuzzy PID controller is expressed in terms of fuzzy rules, in which the input variables are the error signals and their derivati...

In this paper, design of centralized PID controller using Covariance Matrix Adaptation Evolution Strategy (CMAES) is presented. Binary distillation column plant described by Wood and Berry (WB) having two inputs and two outputs and by Ogunnike and Ray (OR) having three inputs and three outputs are considered for the design of multivariable PID controller. Optimal centralized PID controller is d...

The paper describes the Fuzzy–PID cascade controller to control the level of horizontal tank that has diameter 300 mm and 480 mm long. Interface card module PCI-6024E in computer and Lab View software program is used for built the cascade controller. Structure of its where the inner loop is a PID controller for regulating flow rate of system and outer loop is a Fuzzy logic controller for contro...

The paper presents design and experimental validation of a stable self-tuning PID controller for three degrees of freedom (3-DOF) helicopter. At first, it is proposed a self-tuned proportional-integral-derivative (PID) controller for a class of uncertain second order multiinput multi-output nonlinear dynamic systems to which the 3-DOF helicopter dynamic model belongs. Within this scheme, the PI...

-This paper presents the relative difference between the linear and nonlinear controller. The linear controller namely Proportional integral derivate controller (PID) and nonlinear controller called Generalized Proportional Integral (GPI) controller and Sliding mode controller are considered for the response analysis. The transient and dynamic performances of the linear and nonlinear controller...

The paper presents simulation results of hybrid fuzzy logic with proportional plus conventional integral-derivative controller for the speed control of permanent magnet brushless dc (PMBLDC) motor. Although conventional PID controllers are widely used in the industry due to its simple control structure and ease of implementation, these controllers pose difficulties under the conditions of nonli...

There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...

Manipulation of deformable objects is a field of research that has a variety of applications, including medical procedures, food industry, and manufacturing. This paper compares the performance of a standard PID controller and a robust H∞ controller, both of which are designed to perform the task of indirect deformable object manipulation. The H∞ controller is generated using methods outlined b...

In this paper, we provide a new method of the PID parameter tuning for time-delay systems by utilizing the fictitious reference iterative tuning (FRIT), which is a controller tuning method enabling us to obtain the desired parameter with only one-shot experimental data. Here, by relating the conventional PID controller to the internal model controller (IMC), we show that PID parameters obtained...

In this paper, an optimization method based on the foraging behavior of a colony of honey bees in nature was proposed. An optimized model for Proportional Integral Derivative (PID)speed controller of 3-phase IM drives was introduced to adapt the constant gains of this classical controller. To enhance robustness of this controller, an online algorithm for self-tuning of PID controller-parameters...