Integrating Servo-Pneumatic Actuator with Ball Beam System based on Intelligent Position Control

The purpose of this paper is to design a controller that can control the position of the cylinder pneumatic stroke. This work proposes two control approaches, Proportional-Integral-Derivative Fuzzy Logic (Fuzzy-PID) controller and Proportional-Derivative Fuzzy Logic (PD-Fuzzy) controller for a Servo-Pneumatic Actuator. The design steps of each controller implemented on MATLAB/Simulink are presented. A model based on position system identification is used for the controller design. Then, the simulation results are analyzed and compared to illustrate the performance of the proposed controllers. Finally, the controllers are tested with the real plant in real-time experiment to validate the results obtained by simulation. Results show that PD-Fuzzy controller offer better control compared to Fuzzy-PID. A Pneumatic Actuated Ball & Beam System (PABBS) is proposed as the application of the position controller. The mathematical model of the system is developed and tested simulation using Feedback controller (outer loop)-PD-Fuzzy controller (inner loop). Simulation result is presented to see the effectiveness of the obtained model and controller. Results show that the servo-pneumatic actuator can control the position of the Ball & Beam system using PD-Fuzzy controller

Interval Type 2 Fuzzy Logic Tuning for PID Controller of DC Servo Motors

This report presents the design of Interval Type 2 Fuzzy Logic Tuning for PI Controller of DC servo motors project. DC servo motors have been in use extensively for many applications vary from industrial to electronics to consumers. However, its conventional PID controller still induces several problems such as unexpected response in non-linear systems, poor response when there is frequent disturbance. A new solution for PID controller of DC servo motor is proposed, that is to tune the PID controller automatically with Interval Type-2 Fuzzy Logic

Interval Type 2 Fuzzy Logic Tuning for PID Controller of DC Servo Motors

This report presents the design of Interval Type 2 Fuzzy Logic Tuning for PI Controller of DC servo motors project. DC servo motors have been in use extensively for many applications vary from industrial to electronics to consumers. However, its conventional PID controller still induces several problems such as unexpected response in non-linear systems, poor response when there is frequent disturbance. A new solution for PID controller of DC servo motor is proposed, that is to tune the PID controller automatically with Interval Type-2 Fuzzy Logic

Performance comparison between PID and fuzzy logic controller in position control system of dc servomotor

The objective of this paper is to compare the time specification performance between conventional controller and artificial intelligence controller in position control system of a DC motor. This will include design and development of a GUI software using Microsoft Visual Basic 6.0 for position control system experiment. The scope of this research is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller will be used to control the output response. An interactive software will be developed to visualize and analyze the system. This project consists of hardware equipment and software design. The hardware parts involve in interfacing MS150 Modular servo System and Data Acquisition System with a personal computer. The software part includes programming real-time software using Microsoft Visual Basic 6.0. Finally, the software will be integrated with hardware to produce a GUI position control system

Design Of A Fuzzy Servo-Controller

A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented. (C) 2001 Elsevier Science BN. All rights reserved

Design Of A Fuzzy Servo-Controller

A design method of a fuzzy servo-controller for nonlinear plants has been presented.The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points.Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented. (C) 2001 Elsevier Science BN. All rights reserved

Design Of A Fuzzy Servo-Controller

A design method of a fuzzy servo-controller for nonlinear plants has been presented.The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points.Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented. (C) 2001 Elsevier Science BN. All rights reserved

A survey of fuzzy control for stabilized platforms

This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms. It represents an attempt to cover the basic principles and concepts of fuzzy control in stabilization and position control, with an outline of a number of recent applications used in advanced control of stabilized platform. Overall, in this survey we will make some comparisons with the classical control techniques such us PID control to demonstrate the advantages and disadvantages of the application of fuzzy control techniques