A fuzzy error correction control system
نویسندگان
چکیده
This paper describes a fuzzy error correction control system used to navigate a robot along an easily modifiable path in a well-structured environment. An array of Hall sensors mounted on the bottom of a robot gathers sensory information from a path of ferromagnetic disks placed on the ground. This sensory input is processed by an analog-to-digital converter and the output signals are then inputted into a fuzzy logic engine. The fuzzy engine outputs commands for the robot wheels. These commands determine the necessary angle of rotation to correct the direction of travel in order for the robot to remain on the path. The fuzzy logic controller stores prior disk information to predict a path trajectory when no path is detected. If the controller then senses a path, it anchors on it and starts following it.
منابع مشابه
A Sub-Optimal Look-Up Table Based on Fuzzy System to Enhance the Reliability of Coriolis Mass Flow Meter
Coriolis mass flow meters are one of the most accurate tools to measure the mass flow in the industry. However, two-phase mode (gas-liquid) may cause severe operating difficulties as well as decreasing certitude in measurement. This paper presents a method based on fuzzy systems to correct the error and improve the reliability of these sensors in the presence of two-phase model fluid. Definite ...
متن کاملGrammatical Error Correction of English as Foreign Language Learners
This study aimed to discover the insight of error correction by implementing two correction systems on three Iranian university students. The three students were invited to write four in-class essays throughout the semester, in which their verb errors and individual-selected errors were corrected using the Code Correction System and the Individual Correction System. At the end of the study, the...
متن کاملAdaptive Fuzzy Rule-Based Classification Systems - Fuzzy Systems, IEEE Transactions on
This paper proposes an adaptive method to construct a fuzzy rule-based classification system with high performance for pattern classification problems. The proposed method consists of two procedures: an error correction-based learning procedure and an additional learning procedure. The error correction-based learning procedure adjusts the grade of certainty of each fuzzy rule by its classificat...
متن کاملVelocity Control of Electro Hydraulic Servo System by using a Feedback Error Learning Method
In this paper, a new control method based on FEL electro hydraulic servo control withnonlinear flux and internal friction, has been presented. The new approach based oncontrollers combined by a classic PD controller and a fuzzy controller is smart. This newtechnique has a good ability to control the performance and stability. Simulations have beencarried out in Matlab environment and the result...
متن کاملInfrared Counter-Countermeasure Efficient Techniques using Neural Network, Fuzzy System and Kalman Filter
This paper presents design and implementation of three new Infrared Counter-Countermeasure (IRCCM) efficient methods using Neural Network (NN), Fuzzy System (FS), and Kalman Filter (KF). The proposed algorithms estimate tracking error or correction signal when jamming occurs. An experimental test setup is designed and implemented for performance evaluation of the proposed methods. The methods v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEEE Trans. Instrumentation and Measurement
دوره 50 شماره
صفحات -
تاریخ انتشار 2001