Fuzzy Based Control System for Interconnected Pneumatic Cylinder Linear Positioning System

2014 ◽  
Vol 592-594 ◽  
pp. 2145-2149 ◽  
Author(s):  
D. Saravanakumar ◽  
B. Mohan

Pneumatic drives have many advantages over other actuators in terms of efficiency and safety which enable them to be used in many applications. In the present study, a new method of position manipulator with two pneumatic cylinders which are interconnected has been presented. Nonlinear mathematical model of the system has been formulated. Using Matlab-Simulink software, the system has been simulated. Fuzzy based control system has been designed for the system. From the various responses and indices it is observed that the fuzzy based control system has better performance than PID based control system. Also it is observed that the system with fuzzy controller has better setpoint tracking characteristics.

Author(s):  
Adam Rowicki ◽  
Grzegorz Kopecki

Abstract The purpose of this study was to describe dynamics of missile based on bibliography, simplify the model to the easiest form, and verify it with the use of a designed laboratory stand. Next, a simple control system of the missile was designed. The stand is prepared for didactic purposes. A mathematical model was derived by applying Newton's second law together with the earth's coordinate system and the base coordinate system. Parameters of the actual rocket model were determined using the created laboratory stand. Synthesis of the rocket roll system was designed using Simulink PID Tuner application (MathWorks, Inc. Natick, Massachusetts, USA). A control system was based on a proportional-integral (PI) regulator. The designed control system was subjected to simulated tests in MATLAB Simulink (MathWorks, Inc. Natick, Massachusetts, USA).


2016 ◽  
Vol 8 (5) ◽  
pp. 540-547
Author(s):  
Tomas Eglynas ◽  
Audrius Senulis ◽  
Marijonas Bogdevičius ◽  
Arūnas Andziulis ◽  
Mindaugas Jusis

The main control object of Quay crane, which is operating in seaport intermodal terminal cargo loading and unloading process, is the crane trolley. One of the main frequent problem, which occurs, is the swinging of the container. This swinging is caused not only by external forces but also by the movement of the trolley. The research results of recent years produced various types of control algorithms by the other researchers. The control algorithms are solving separate control problems of Quay crane in laboratory environment. However, there is still complex control algorithm design and the controller’s parameter estimation problems to be solved. This paper presents mathematical model of the Quay crane trolley mechanism with the suspended cargo. The mathematical model is implemented in Matlab Simulink environment and using Dormand-Prince solving method. The presented model of laboratory quay crane mathematical model is dedicated to parameter estimation of PID controller of closed loop system with the usage of S –form speed input profile. The article includes the dynamic model of the presented system, the description of closed loop system and modeling results. These results will be used as an initial information for the PID parameters estimation in real quay crane control system. The simu-lation of the model was performed using estimated values of controller. The sway influence of the cargo, the usage of the trolley speed input S-shaper and the PID controller was used to control the trolley speed. Jūriniame įvairiarūšiame terminale atliekant konteinerių krovos procesus, vienas iš krantinės kranų valdymo objektų yra vežimėlis. Viena iš problemų, su kuria susiduriama dažniausiai, yra konteinerio svyravimai, kuriuos, be išorinių veiksnių, taip pat sukelia ir vežimėlio judėji-mas. Remdamiesi paskutinių kelerių metų tyrimais, mokslininkai sukūrė įvairių valdymo algoritmų, kurie laboratorinėmis sąlygomis spren-džia atskiras krantinės kranų valdymo problemas. Tačiau kompleksinių ir efektyvių valdymo algoritmų ir jų valdymo sistemos parametrų nustatymo metodai vis dar kuriami ir tobulinami. Šiame darbe sudarytas krantinės krano vežimėlio su kabančiu kroviniu mechanizmo sis-temos matematinis modelis. Šis modelis realizuotas Matlab Simulink aplinkoje ir sprendžiamas taikant Dormand-Prince metodą. Sukurtas laboratorinio krantinės krano valdymo sistemos kompiuterinis modelis skirtas uždarosios valdymo sistemos PID valdiklio parametrams nustatyti, kai užduoties signalui taikomas S formos greičio kitimo profilis. Darbe pateiktas sistemos dinaminis modelis, aprašyta uždaroji valdymo sistema, pateikti kompiuterinio modeliavimo rezultatai, kuriuos planuojama panaudoti kaip pradinę informaciją realaus krano PID valdiklio parametrams derinti. Atlikta simuliacija naudojant nustatytas vertes ir įvertinti krovinio svyravimai taikant S formos greičio kitimo profilį kartu su PID valdikliu vežimėlio greičiui valdyti.


2012 ◽  
Vol 190-191 ◽  
pp. 288-291
Author(s):  
Jian Feng Lu ◽  
Ling Hui Xiao ◽  
Rong Su

A fuzzy temperature control system is modeled and simulated in Modelica language,all of the system is mainly composed of heating tank, heater, fuzzy controller, electric valve and sensor. Every component is modeled separately in OpenModelica and created its MO file which is based on the component’s mathematical model and data parameter, and will be packaged into an xml file by Flex-plugin; finally, these parts are connected to an overall simulation system. The result of simulation is showed that this model is correct, and meets the control demand of fuzzy temperature control system. Key words: Modelica; fuzzy temperature control system; Mo file


2013 ◽  
Vol 284-287 ◽  
pp. 1856-1861
Author(s):  
Hung I Chen ◽  
Ming Chang Shih

In this paper, the pneumatic driven manipulation system is driven by the pneumatic cylinders. The proposed system is built by the designed pneumatic force control system and the microscope, which is integrated with the control interface. Firstly, the characteristics of the pneumatic force control system are measured as the proportional pressure control valve. In accordance with these nonlinear characteristics, a self tuning fuzzy controller with a dead zone compensator is designed to improve precision of the pneumatic force control system. From experimental results, the force error can be controlled within ±1 mN. Next, the real-time image is captured by the microscope with a 1/2 type CCD camera. Through designed image processing, image tracking and image recognition, visual image is used to define the position a probe tip. The distance between the target position and a probe tip can be calculated. Finally, the force control of the pneumatic force control system, calculating the distance between the target position and a probe tip, the control processes are integrated with designed the control interface. Visual C++ code from MFC is used to finish the control interface. From experimental results, the position error can be controlled within ± 1 pixel.


2015 ◽  
Vol 789-790 ◽  
pp. 693-699
Author(s):  
Alaa Khalifa ◽  
Ahmed Ramadan

This paper concerns with the control system design for a teleoperated endoscopic surgical manipulator system that uses PHANTOM Omni haptic device as the master and a 4-DOF parallel manipulator (2-PUU_2-PUS) as the slave. PID control algorithm was used to achieve the trajectory tracking, but the error in each actuated joint reached 0.6 mm which is not satisfactory in surgical application. The design of a control algorithm for achieving high trajectory tracking is needed. Simulation on the virtual prototype of the 4-DOF parallel manipulator has been achieved by combining MATLAB/Simulink with ADAMS. Fuzzy logic controller is designed and tested using the interface between ADAMS and MATLAB/Simulink. Signal constraint block adjusted the controller parameters for each actuated prismatic joint to eliminate the overshoot in most of position responses. The simulation results illustrate that the fuzzy logic control algorithm can achieve high trajectory tracking. Also, they show that the fuzzy controller has reduced the error by approximately 50 percent.


2012 ◽  
Vol 6 (5) ◽  
pp. 662-668
Author(s):  
Mohammad Taufiq Mustaffa ◽  
◽  
Hidetoshi Ohuchi

This paper introduces a technique employing repeated intermediate positionings, which are controlled by sequential on-off actions of solenoid valves, of a pneumatic cylinder. The motion of the piston slider is detected by several proximity switches instead of sophisticated position sensors, which are commonly used in motion control. The designed control system is constructed without a feedback control loop; it operates with only minimal information from the switch signals. We study the precision performance, under various loading conditions, of a pneumatic cylinder enhanced by the use of proximity switches. The repeatability of the system is experimentally found to be on the order of 0.2 mm. This technique will greatly extend the field of application of pneumatic cylinders on automated production lines.


2004 ◽  
Vol 126 (4) ◽  
pp. 744-747 ◽  
Author(s):  
Igor L. Krivts

Positioning accuracy of pneumatic servo actuators depends on parameters of the actuator and control system, and also on the friction force. This paper reports on new constructions of the pneumatic cylinders, which are the integral part of the servo actuator. Experimental examination of these servo actuators has shown that they could provide improved accuracy performance over the system with ordinary pneumatic cylinder.


2010 ◽  
Vol 37-38 ◽  
pp. 299-303
Author(s):  
Guo Ping Li ◽  
Lu Wei Wang ◽  
Li Sheng Shu

Based on electric pallet truck skids in the process of moving because of low road attachment coefficient, this paper proposed an anti-skid method by changing the proportion of enduring pressure between the driving wheel and trundles. Anti-skid control theory of the new method is researched and mathematical models of the main modules are established. Anti-skid control system is simulated by using AMESim and Matlab / Simulink software. Simulation results show that, this hydraulic anti-skid system can respond quickly and precisely.


2011 ◽  
Vol 142 ◽  
pp. 79-82
Author(s):  
Wei Chun Zhang ◽  
Bing Bing Ma ◽  
Xian Bin Du ◽  
Bao Hao Pei ◽  
Jie Chen

Based on analyzing the structure and dynamic characteristics of this system, a dynamical mathematical model is established. To overcome the problems when using fuzzy controller or PID controller respectively and increase precision, a P-fuzzy-PID mode controller and a fuzzy PID controller is designed to control the system. The module of simulink which is a part of MATLAB is used to construct a monolithic mould. The fuzzy logic toolbox is used to construct a fuzzy mould. The results of simulation show that the performance of control becomes better by using this design.


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