in this paper, the enhancement of vehicle stability and handling is investigated by control of the active geometry suspension system (ags). this system could be changed through control of suspension mounting point’s position in the perpendicular direction to wishbone therefore the dynamic is alternative and characteristics need to change. for this purpose, suitable controller needs to change mo...

Design of proportional-integral-derivative (PID) controller with proportional, integral, and derivative gains given by , respectively, for time-delay systems is presented in this study. The centroid the convex stability region (CCSR) method - plane fixed used. PID design a have been extensively researched. Despite amenability CCSR to its application regard has not serious attention. was determi...

A new adaptive multiple-controller is proposed incorporating a neural network based Generalized Learning Model (GLM). The GLM assumes that the unknown complex plant is represented by an equivalent stochastic model consisting of a linear time-varying sub-model plus a Radial Basis Function (RBF) neural-network based learning sub-model . The proposed non-linear multiple-controller methodology prov...

This paper will first describe predictor controllers when the proportional-integral-derivative (PID) controllers are inactive for procedures that have large delay time (LDT) in transfer stage. Therefore in those states, the predictor controllers are better than the PID controllers, then compares three types of predictor controllers. The value of these controller’s parameters are obtained by tri...

This paper presents a performance based comparative study of various fuzzy logic controllers (FLCs) to control the speed of squirrel-cage induction motor (SCIM) by replacing the conventional proportional??integral (PI) controller. The fuzzy logic based controller does not require any identification of motor dynamic to control its speed and also assures the disturbance rejection with high robust...

The application of a self-organizing fuzzy proportional–integral–derivative (SOF-PID) controller to a multiple-input–multiple-output (MIMO) nonlinear revolute-joint robot arm is studied in this paper. The SOF controller is a learning supervisory controller, making small changes to the values of the PID gains while the system is in operation. In effect, the SOF controller replaces an experienced...

The comparision of bridgeless isolated cuk converter using proportional integral derivative (PID) and neural controller (NC) is presented in this paper. Due to diode bridge rectifier (DBR) conventional converters suffer from high conduction loss. Bridgeless Cuk converter is used to eliminate the issues. bridgeless isolated (BLI) cuk converter is used to withstand high voltage. Compare to Contin...

In this paper, a novel Model Reference Adaptive Control (MRAC)-based hybrid control algorithm is presented for the trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV). The mathematical model of the tri-rotor is based on the Newton–Euler formula, whereas the MRAC-based hybrid controller consists of Fuzzy Proportional Integral Derivative (F-PID) and Fuzzy Proportional Derivative (F-P...

Networked control system (NCS) for industry process control recently has been paid much attention to. A fact that there exists networked-induced time delay in NCS, and the traditional proportional integral derivative (PID) controllers are still used broadly in industrial sites as their strong adaptability and robustness is well known. Therefore, the control engineers must face an unavoidable pr...

Diabetes therapy is normally based on discrete insulin infusion that uses long-time interval measurements. Nevertheless, in this paper, a continuous drug infusion closed-loop control system was proposed to avoid the traditional discrete approaches by automating diabetes therapy. Based on a continuous insulin injection model, two controllers were designed to deal with this plant. The controllers...