129,799 research outputs found

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

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    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

    Sistem Pengembangan Kendali Fuzzy Logic Berbasis Mikrokontroler Keluarga Mcs51 (Petrafuz)

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    This paper presents a Fuzzy Logic Development Tool called PetraFuz which has been developed at Control System Laboratory, Electrical Engineering Department, Petra Christian University. The system consists of a hardware target based on MCS51 microcontroller and a software support running under PC Windows. The system is targeted for developing fuzzy logic based systems. It supports fuzzy logic design, evaluation, assembly language generator and downloading process to the target hardware to perform on-line fuzzy process. Process action and fuzzy parameters could be transferred to PC monitor via RS-232 serial communication, this on-line process parameters is used for fuzzy tuning, i.e. fuzzy if-then rules and fuzzy membership functions. The PetraFuz tool helps very much for Fuzzy system developments, it could reduce development time significantly. The tool could spur the development of fuzzy systems based on microcontroller systems such as fuzzy control systems, fuzzy information processing, etc

    Fuzzy control systems for thermal processes: synthesis, design and implementation

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    A completed case study on fuzzy logic control of thermal processes has been carried out using a professional laboratory oven for industrial purpose as an experimental test rig. It involved system engineering design analysis, control synthesis, and implementation as well as application software and signal interface design and development. The resulting expertise and lessons learned are reported in this contribution. The structure of PD type of fuzzy logic controllers is closely discussed along with synthesis issues of membership functions and knowledge rule base. Special software was developed using Microsoft Visual Studio, C++ and Visual basic for GUI for a standard PC platform. The application software designed and implemented has four modules: FIS editor, Rule Editor, Membership Function Editor and Fuzzy Controller with Rule Viewer. Quality and performance of the overall fuzzy process control system have been investigated and validated to fulfill the required quality specification

    Pengembangan Sistem Mikro Kontroler sebagai Fuzzy Logic Controller

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    Generally microcontroller, and also microprocessor, work on the basis of boolean logic, which only knows true or false conditions. However, in real life. what often accurs is the presence of gradation in each rise of levels, and this makes microcontroller very limited in its application. Fuzzy logic will give a membership vlue to observed element so that it can meet the gradation intended. Thefuzzy logic system is the development of a control system based on microcontrnller by appliying fuzzy logic. This system comprises the hardware of microcontroller system and the assembly program software together with the fuzzy system software which is implemented on a microcontroller through a computer. Fuzzy system indesigned in the order of playing analytic methodology and input-output partitions, defining the input-output communicating surface button. Composing the rules for the definied control surface, and doing controller system design includes thefuzzyfication, rule evaluation and defuzzyficztion processes. Key words : microcomroller system, fuzzy logic controlle

    A design environment for synthesis of embedded fuzzy controllers on FPGAs

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    This paper presents a design environment for the synthesis of embedded fuzzy controllers on FPGAs. It provides a novel implementation technique that allows accelerating the exploration of the design space of fuzzy control modules, as well as a codesign flow that eases their integration into complex control systems and the joint development of hardware and software components. The set of CAD tools supporting this environment includes specific fuzzy logic design tools provided by Xfuzzy, FPGA synthesis and implementation tools from Xilinx, and modeling and simulation facilities from Matlab. As demonstrated by the analyzed design examples, the described development strategy takes advantage of flexibility and ease of configuration offered by the different tools to dramatically speed up the stages of description, synthesis, and functional verification of embedded fuzzy control system

    Implementation of Takagi Sugeno method as fuzzy logic control with multiple sensors on fire fighter robot prototype navigation

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    Autonomous mobile robot will become an interest by many researchers. Due to needs of an effective navigational system for the robot, many approach was purposed to control the reliability of the system in order to achieve an optimum control system respond. Nowadays, AI was used as one of the approached to enhance the decision making by the robot itself without depending on the user. In this development, multiple sensors were implemented to increase the detection accuracy of the prototype during navigate on constantly changing environment. By using multiple sensors (ultrasonic sensor) it means that, it will have more input information so, in order to manage all of this data information, intelligent control strategy was required to achieve an optimum output in term of efficiency and accuracy. On this development, previous prototype was upgraded into more intelligent system. Fuzzy Logic was introduced to this development by using a Takagi Sugeno inference method. In this project Fuzzy control was designed with aid of computing software (MATLAB) and by using a Arduino MEGA controller Fuzzy logic control was apply to realize the real-time simulation for the robot navigation. The fire detection unit by using IR sensor module was purposed to make sure it can scan the IR wave generated by the flame. Differential steering method was selected for semi-autonomous robot driving system and it was powered by 2 DC motor for the robot navigation. All the function of the robot is tested in order to evaluate the capability of the system on the robot by referred to the project scope. On this development, the effectiveness of the system was vary with the number of Fuzzy Rule. The effectiveness of the Fuzzy control was observed by the time taken for the prototype completed the route and the time respond for the prototype to avoid obstacle during the navigation inside the test rig

    A Water Bath Control System in a Virtual Laboratory Environment

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    In this paper, the development of a water bath control system in a virtual laboratory environment is discussed. The system proposed is developed using LABVIEW 8.6. This project consists of three stages. The first stage is hardware development, which involves construction of interface circuit to allow communication between plant and computer. The second stage is to build the Fuzzy Logic Controller using LABVIEW software, where fuzzy set and rule base are applied. The final stage is to publish the GUI module onto the web for real-time remote control. An internet based GUI module environment of a water bath temperature control system has successfully been developed using LABVIEW software and published onto the web where it can be fully controlled using Fuzzy Logic Controller developed, and monitored by any user despite of their geographical locations, as long as they have computers with web browsers and internet connection. Thus, this will assure a better and easier understanding of certain subjects, especially control system. With such a facility, laboratory resources can be shared online, laboratory experiments can be carried out away from the site as well as outside the official working hour, and the control subject can be taught in a more meaningful and effective manner to the students

    Performance Comparison between PID And Fuzzy Logic Controller in Position Control System of Dc Servomotor

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    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
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