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Authors: Ganwen Zeng 1 and Qianglong Zeng 2

Affiliations: 1 Data I/O Corporation, United States ; 2 Dartmouth University, United States

Keyword(s): Fuzzy control, Fuzzy sets, Fuzzy self-tuning control, Fuzzy PID control, Robotics, Distributed control, Programming systems, Control algorithm, Control system, DSP, ADC/DAC, Servo motor control, FPGA, Microcontrollers, PowerPC, ARM9, COM, CAN, ETHERNET, Multi-core architectures, Embedded control system, Bios, RTOS, kernel, OOP, Nested ISR, Fast IO, Firmware, Embedded software, Control applications, Programming technology, ONFI (Open NAND Flash Interface), Flash devices, Flash cards, Flash disks, USB2.0 host/Flash Media Controller for SmartMedia (SM), xD, CF, MS, SD and MultimediaCard (MMC).

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Distributed Control Systems ; Fuzzy Control ; Fuzzy Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Real-Time Systems Control ; Robot Design, Development and Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: The paper presents an advanced Fuzzy self-tuning PID controller theory and it implement its applications on Data I/O’s automated robotic programming systems. Considerable programming technology shift occurred in recent device programmer industry; programming density have been constantly fast growing from lowvolume to high-volume programming for all kinds of non-volatile flash memory devices such as NOR flash, NAND flash, and MMC cards, SD flash cards, serial flash device, serial flash cards, flash-based microcontrollers and flash disks as high performance M-systems DiskOnChip. Device programming mode is more demanding an automatic programming than manual operation mode. It drives the creation and implementation of a high-performance automated programming robotic systems. This paper shows how this proposed advanced Fuzzy self-tuning PID controllers work on these automated programming robotic automation systems.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Zeng, G. and Zeng, Q. (2007). NONLINEAR FUZZY SELFTUNING PID CONTROL TECHNOLOGY AND ITS APPLICATIONS IN AUTOMATED PROGRAMMING ROBOTICS. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 372-375. DOI: 10.5220/0001647303720375

@conference{icinco07,
author={Ganwen Zeng. and Qianglong Zeng.},
title={NONLINEAR FUZZY SELFTUNING PID CONTROL TECHNOLOGY AND ITS APPLICATIONS IN AUTOMATED PROGRAMMING ROBOTICS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={372-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001647303720375},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - NONLINEAR FUZZY SELFTUNING PID CONTROL TECHNOLOGY AND ITS APPLICATIONS IN AUTOMATED PROGRAMMING ROBOTICS
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Zeng, G.
AU - Zeng, Q.
PY - 2007
SP - 372
EP - 375
DO - 10.5220/0001647303720375
PB - SciTePress