• Title/Summary/Keyword: 2-DOF PID control

Search Result 56, Processing Time 0.026 seconds

Anti-Sway Position Control of an Automated Transfer Crane Based on Neural Network Predictive PID Controller

  • Suh Jin-Ho;Lee Jin-Woo;Lee Young-Jin;Lee Kwon-Soon
    • Journal of Mechanical Science and Technology
    • /
    • v.19 no.2
    • /
    • pp.505-519
    • /
    • 2005
  • In this paper, we develop an anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the finial coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The simulation and experimental results show that the proposed control scheme guarantees performances, trolley position, sway angle and settling time in NNP PID controller than other controller. As the results in this paper, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm in this study can be readily used for industrial applications.

Development of Control Method for Improving Energy Efficiency of Unmanned Underwater Gliders (무인 수중글라이더의 에너지 효율 개선을 위한 제어방법 개발)

  • La, Seung-kyu;Ko, Sung-hyup;Ji, Dae-hyeong;Chon, Seung-jae;Jeong, Seong-hoon;Choi, Hyeung-sik;Kim, Joon-young
    • Journal of Advanced Navigation Technology
    • /
    • v.26 no.2
    • /
    • pp.105-112
    • /
    • 2022
  • In this paper, unmanned underwater glider was designed for high-depth operation and adopted a bladder-type buoyancy controller for improving battery efficiency, and the motion controller controls the pitch angle by moving the internal mass battery. To improve the energy efficiency of the unmanned underwater glider, a layered PID controller that performs control by section was designed. Simulation program including 6-DOF motion equations and hydrodynamics coefficients of an unmanned underwater glider is constructed using Matlab/Simulink program. Control methods such as PID controller, sliding mode controller and layered PID controller were applied to the simulator to compare the dynamics performance and energy efficiency. As a result, the layered PID controller showed improved control performance compared to other controllers and improved energy efficiency of approximately 7.2% compared to PID controller.

An Automatic Travel Control of a Container Crane using Neural Network Predictive PID Control Technique (신경회로망 예측 PID 제어법을 이용한 컨테이너 크레인의 자동주행제어)

  • Suh Jin Ho;Lee Jin Woo;Lee Young Jin;Lee Kwon Soon
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.22 no.1
    • /
    • pp.61-72
    • /
    • 2005
  • In this paper, we develop anti-sway control in proposed techniques for an ATC system. The developed algorithm is to build the optimal path of container motion and to calculate an anti-collision path for collision avoidance in its movement to the finial coordinate. Moreover, in order to show the effectiveness in this research, we compared NNP PID controller to be tuning parameters of controller using NN with 2 DOF PID controller. The experimental results for an ATC simulator show that the proposed control scheme guarantees performances, trolley position, sway angle, and settling time in NNP PID controller than other controller. As a result, the application of NNP PID controller is analyzed to have robustness about disturbance which is wind of fixed pattern in the yard. Accordingly, the proposed algorithm in this study can be readily used for industrial applications

Implementation of Hovering AUV and Its Attitude Control Using PID Controller (PID 제어기를 이용한 호버링 AUV의 구현과 자세 제어)

  • Kim, Min-Ji;Baek, Woon-Kyung;Ha, Kyoung-Nam;Joo, Moon-Gab
    • Journal of Ocean Engineering and Technology
    • /
    • v.30 no.3
    • /
    • pp.221-226
    • /
    • 2016
  • An attitude controller for a 6-DOF hovering autonomous underwater vehicle (HAUV) is implemented. We add a vertical thruster, an underwater camera, a wireless communication device, and a DVL to the HAUV that was developed a year ago. The HAUV is composed of 5 thrusters, 2 servo-motors, and 4 apparatus parts. Two rotating thrusters control the surge, heave, and roll of the vehicle. The vertical thruster controls the pitch, and two horizontal thrusters control the sway and yaw of the vehicle. The HAUV’s movement in each direction is controlled by 6 PID controllers. Each PID controller controls the propulsive force and angle of a thruster. In a horizontal and vertical movement experiment, we showed the feasibility of the proposed controller by maintaining a given depth and heading angle of the HAUV.

Temperature Control of a CSTR using Fuzzy Gain Scheduling (퍼지 게인 스케쥴링을 이용한 CSTR의 온도 제어)

  • Kim, Jong-Hwa;Ko, Kang-Young;Jin, Gang-Gyoo
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.19 no.9
    • /
    • pp.839-845
    • /
    • 2013
  • A CSTR (Continuous Stirred Tank Reactor) is a highly nonlinear process with varying parameters during operation. Therefore, tuning of the controller and determining the transition policy of controller parameters are required to guarantee the best performance of the CSTR for overall operating regions. In this paper, a methodology employing the 2DOF (Two-Degree-of-Freedom) PID controller, the anti-windup technique and a fuzzy gain scheduler is presented for the temperature control of the CSTR. First, both a local model and an EA (Evolutionary Algorithm) are used to tune the optimal controller parameters at each operating region by minimizing the IAE (Integral of Absolute Error). Then, a set of controller parameters are expressed as functions of the gain scheduling variable. Those functions are implemented using a set of "if-then" fuzzy rules, which is of Sugeno's form. Simulation works for reference tracking, disturbance rejecting and noise rejecting performances show the feasibility of using the proposed method.

An Autonomous Traveling Control of Crane Using Humoral Immune Algorithm (생체면역알고리즘을 이용한 크레인의 자율주행 제어에 관한 연구)

  • Lee, K.S.;Lee, Y.J.
    • Journal of Power System Engineering
    • /
    • v.10 no.3
    • /
    • pp.88-96
    • /
    • 2006
  • While the crane system operate in port, one of main objective is to transport containers to the goal position as soon as possible. Because this is one of the biggest problem in terms of productivity of port, the container crane is operated by an expert operator until now. However recently an automatic control system with high performance is required to improve the performance of the crane system and to make high productivity. Therefore we developed an optimal controller based on Humoral Immune Algorithm with PID controller. The proposed system has a real time structure and can improve the performance such as anti-sway problem. Some computer simulations are implemented to assess the characteristics of the proposed controller.

  • PDF

A Study on Simscape based 6DOF Field Robot Simulation Model (Simscape 기반 6자유도 필드로봇 시뮬레이션 모델에 관한 연구)

  • Choi, Seong Woong;Kwak, Kyung Sin;Le, Quang Hoan;Yang, Soon Yong
    • Journal of Drive and Control
    • /
    • v.19 no.2
    • /
    • pp.1-10
    • /
    • 2022
  • Field robots operate in various areas, including construction, agriculture, forestry and manufacturing. Typical tasks of field robots used in various areas include excavation, flattening, and demolition. Such tasks are often accomplished in narrow alleys or indoors. In the case of field robots, there is a limit to working in a small space. Thus, to compensate for these shortcomings, many field robots equipped with Tiltrotators have recently been observed. The advantages of Tiltrotator are improved task efficiency and reduced operating time by reducing unnecessary behavior. We need simulation models that can improve the ability of new people to work and simulate tasks in advance. Thus, in this paper, we developed a simscape-based simulation model and modeling of 6DOF systems for field robots equipped with Tiltrotator. Dynamic modeling of field robot 3D models using Simcape multibody and hydraulic systems of field robots using Simcape Hydraulics were modeled. We applied a PID controller to create a control system that operates along the input angle. Simulation results show that errors occur when comparing input and output angles, but overall, they move along input angles.

Development of the Hovering AUV test-bed and field test

  • Choi, Hyeung-Sik;Cho, Sohyung;Kim, Joon-Young
    • Journal of Advanced Research in Ocean Engineering
    • /
    • v.2 no.1
    • /
    • pp.40-47
    • /
    • 2016
  • This paper describes the design and performance of a hovering AUV constructed at KMOU (Korea Maritime and Ocean University). Before the field test, we analyzed the dynamic performance of the AUV using a simulation program made by Matlab & Simulink. Also, a PID controller was designed to control the thrusters. Using 4 thrusters (2 vertical and 2 horizontal), the AUV could be controlled using dynamic motion with 4-DOF. A simulation and field test were conducted with way-point tracking, maintaining the desired depth. To perform way-point tracking, the AUV can be fine-tuned to the desired heading angle through the LOS (Line Of Sight) method. This paper shows the results of simulation and field tests.

Neural Network-Based System Identification and Controller Synthesis for an Industrial Sewing Machine

  • Kim, Il-Hwan;Stanley Fok;Kingsley Fregene;Lee, Dong-Hoon;Oh, Tae-Seok;David W. L. Wang
    • International Journal of Control, Automation, and Systems
    • /
    • v.2 no.1
    • /
    • pp.83-91
    • /
    • 2004
  • The purpose of this paper is to obtain an accurate nonlinear system model to test various control schemes for a motion control system that requires high speed, robustness and accuracy. An industrial sewing machine equipped with a Brushless DC motor is considered. It is modeled by a neural network that is configured as an output-error dynamical system. The identified model is essentially a one step ahead prediction structure in which past inputs and outputs are used to calculate the current output. Using the model, a 2 degree-of-freedom PID controller to compensate the effects of disturbance without degrading tracking performance has been de-signed. In this experiment, it is not preferable for safety reasons to tune the controller online on the actual machinery. Experimental results confirm that the model is a good approximation of sewing machine dynamics and that the proposed control methodology is effective.

Analytical Design of PID Controller for Improved Disturbance Rejection of Delay-Free Processes (시간지연이 없는 공정에서의 외란제거 성능 향상을 위한 PID 제어기의 해석적 설계)

  • Jujuly, M. Masum;Vu, Truong Nguyen Luan;Lee, Moonyong
    • Korean Chemical Engineering Research
    • /
    • v.49 no.5
    • /
    • pp.565-570
    • /
    • 2011
  • In this paper, the analytical tuning rules of the proportional-integral-derivative (PID) controller have been derived for a broad class of stable, integrating, and unstable processes without time delay. On the basis of the renowned internal model control (IMC) design principles and the two-degree-of-freedom (2DOF) control structure, the proposed method can be effectively used for obtaining the enhanced performances of both the disturbance rejection as well as the set-point tracking problems, since the design scheme is simple, straightforward, and can be easily implemented in the process industry. Several processes without time delay are employed to demonstrate the improved closed-loop performance of the proposed controller design in compared with the other well-known design methods in terms of the same degree of robustness.