• Title/Summary/Keyword: intelligent control system

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Periodic Adaptive Compensation of State-dependent Disturbance in a Digital Servo Motor System

  • Ahn, Hyo-Sung;Chen, YangQuan;Yu, Won-Pil
    • International Journal of Control, Automation, and Systems
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    • v.5 no.3
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    • pp.343-348
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    • 2007
  • This paper presents an adaptive controller for the compensation of state-dependent disturbance with unknown amplitude in a digital servo motor system. The state-dependent disturbance is caused by friction and eccentricity between the wheel axis and the motor driver of a mobile robot servo system. The proposed control scheme guarantees an asymptotical stability for both the velocity and position regulation. An experimental result shows the effectiveness of the adaptive disturbance compensator for wheeled-mobile robot in a low velocity diffusion tracking. A comparative experimental study with a simple PI controller is presented.

A Study on design of Optimal Controller for container Crane (컨테이너크레인 제어를 위한 최적제어기 설계에 관한 연구)

  • 이영진;조현철;이진우;이권순
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.397-402
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    • 1998
  • PID controller has been used very widely in the industrial applications. But it is difficult tune the PID gains. In this paper, we present a design of optimal 2-DOF PID controller for control of container crane which has to control swing motion and trolley position. For tuning of the 2-DOF PID control gains, we used hybrid evolution program(EP). During operate the crane system in yard, the goal is transporting the load to a goal position as quick as possible without rope oscillation. The crane is generally operated by an expert operator, but recently an automatic control system with high accuracy and rapid transportation is required. However, we developed an optimal controller which has to control the crane system with disturbance.

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Fuzzy approach to elevator group control system

  • Kim, Chang-Bum;Seong, Kyoung-A;Lee, Hyung-Kwang;Kim, Jeong-O;Lim, Yong-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1218-1221
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    • 1993
  • The elevator group control systems are the control systems that manage systematically three or more elevators in order to efficiently transport the passingers. In the elevator group control system, the area-weight which determines the load biases of elevators is a control parameter closely related to the system performance. This paper proposes a fuzzy model based method to determine the are-weight. The proposed method uses a two-stage fuzzy inference model which is built by the study of area-weight properties and expert knowledge. The proposed method shows the more desirable results than the conventional method in the simulations that use real traffic data.

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Predictive Fuzzy Control for Elevator Group Supervisory System

  • Park, Don-;Park, Chul-;Woo, Kwang-Bang
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1374-1377
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    • 1993
  • In this paper, a predictive fuzzy control algorithm to supervise the elevator system with plural elevator cars is developed and its performance is evaluated. Elevator group controller must decide which of the cars is suitable for responding the registered hall call and allocate it to the selected car controller. In most cases, the purpose of group control is to minimize waiting time of passengers and occurrence of long wait as much as possible. The proposed algorithm ensures the efficient operations of the group cars and provides the improved level of service, coping with multiple control objects and uncertainty of system state. The feasibility of the proposed control algorithm is evaluated by graphic simulator on computer.

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Internet Web Based Implementation of Lonworks System by Developing Intelligent Control Modules (지능제어모듈 개발을 통한 LonWorks 시스템의 Web 네트워크 구축 방안)

  • 홍원표;이승학
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.2
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    • pp.87-96
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    • 2001
  • This paper proposes a new internet Web based concept & design method and implementation of LonWorks network system for remote intelligent control. The Experimental LonWorks network system using i·LON Web server is designed and fabricated. It is also verified that the developed control modules with LonTalk protocol have available inter offerable, reliable performance characteristics from the experimental results, Especially, the results provide a available technical data for remote home, building & plant automation control.

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Wireless Networked Control Systems Using IEEE 802.15.4 (IEEE 802.15.4기반의 제어용 무선 네트워크에 대한 연구)

  • Lee, Jung-Il;Choi, Dong-Hyuk;Kim, Dong-Sung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.289-292
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    • 2006
  • In this paper, a wireless control network based on IEEE 802.15.4 MAC protocol is proposed. The superframe of IEEE 802.15.4 is applied to the proposed wireless control network. The transmission and bandwidth management method are proposed for efficient transmission in the superframe. By these methods, the proposed wireless control network protocol is able to transmit three types of data (periodic data, sporadic data, and non real-time message), and guarantee real-time transmission within deadline.

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Implementation of an Intelligent Action of a Small Biped Robot (소형 2족 보행 로봇의 지능형 동작의 구현)

  • Lim Seun ho;Cho Jung san;Yi Soo-Yeong;Ahn Hee-Wook;Sung Young Whee
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.9
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    • pp.825-832
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    • 2004
  • A small biped robot system is designed and implemented. The robot system consists of a mechanical robot body, a control system, a sensor system, and a user interface system. The robot has 12 dofs for two legs, 6 dofs for two arms, 2 dofs for a neck, so it has total 20 dofs to have dexterous motion capability. The implemented robot has the capability of performing intelligent actions such as playing soccer, resisting external forces, and walking on a slope terrain. In this paper, we focus on the robot's capability of playing soccer. The robot uses a color CCD camera attached on its head as a sensor for playing soccer. To make the robot play soccer with only one camera, an algorithm, which consists of searching, localization, and motion planning, is proposed and experimented. The results show that the robot can play soccer successfully in the given environments.

Applying the IoT platform and green wave theory to control intelligent traffic lights system for urban areas in Vietnam

  • Phan, Cao Tho;Pham, Duy Duong;Tran, Hoang Vu;Tran, Trung Viet;Huu, Phat Nguyen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.34-52
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    • 2019
  • This paper proposes an intelligent system performing an application with assistance of an Internet of Things (IoT) platform to control a traffic lights system. In our proposed systems, the traffic lights can be remotely controlled through the Internet. Based on IoT platform, the traffic conditions at different intersections of roads are collected and the traffic lights are controlled in a central manner. For the software part, the algorithm is designed based on the green wave theory to maximize the green bandwidth of arterial roads while addressing a challenging issue: the rapid changes of parameters including cycle time, splits, offset, non-fixed vehicles' velocities and traffic flow along arterial roads. The issue typically happens at some areas where the transportation system is not well organized like in Vietnam. For the hardware part, PLC S7-1200 are placed at the intersections for two purposes: to control traffic lights and to collect the parameters and transmit to a host machine at the operation center. For the communication part, the TCP/IP protocol can be done using a Profinet port embedded in the PLC. Some graphical user interface captures are also presented to illustrate the operation of our proposed system.

Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings

  • Kosasih, David Ishak;Lee, Byung-Gook;Lim, Hyotaek
    • Journal of Multimedia Information System
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    • v.9 no.1
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    • pp.11-20
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    • 2022
  • In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

Reinforcement Learning-Based Adaptive Traffic Signal Control considering Vehicles and Pedestrians in Intersection (차량과 보행자를 고려한 강화학습 기반 적응형 교차로 신호제어 연구)

  • Jong-Min Kim;Sun-Yong Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.143-148
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    • 2024
  • Traffic congestion has caused issues in various forms such as the environment and economy. Recently, an intelligent transport system (ITS) using artificial intelligence (AI) has been focused so as to alleviate the traffic congestion problem. In this paper, we propose a reinforcement learning-based traffic signal control algorithm that can smooth the flow of traffic while reducing discomfort levels of drivers and pedestrians. By applying the proposed algorithm, it was confirmed that the discomfort levels of drivers and pedestrians can be significantly reduced compared to the existing fixed signal control system, and that the performance gap increases as the number of roads at the intersection increases.