scholarly journals A Novel Vibration Control System Applying Annularly Arranged Thrusters for Multiple Launch Rocket System in Launching Process

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Lilin Gu ◽  
Xiaoting Rui ◽  
Guoping Wang ◽  
Fufeng Yang ◽  
Min Wei
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Pid Control ◽  
Transfer Matrix Method ◽  
Multibody Systems ◽  
Dispersion Characteristic ◽  
Control Law ◽  
Dispersion Characteristics ◽  
Simulation And Experiment ◽  
Rocket System

Multiple Launch Rocket System (MLRS) has been widely used in recent years; vibration control in launching process is an effective way to improve its dispersion characteristics. In this paper, a novel vibration control system applying Annularly Arranged Thrusters (AAT) for MLRS in launching process is introduced and the prototype of the proposed system is built. The dynamic model of the MLRS with the AAT is established based on the Transfer Matrix Method for Multibody Systems (MSTMM). The LQR-PID control law and the management for the AAT are presented. The simulation and experiment of the proposed system are carried out and analyzed. The results show that the vibration of MLRS is effectively attenuated by the proposed control system. The study in this paper provides a new idea to improve the dispersion characteristic by reducing the vibration of MLRS in launching process.

Development of a Tracking System on the Mobile Robot

2015 ◽  
Vol 764-765 ◽  
pp. 680-684
Author(s):  
Kuo Lan Su ◽  
Jr Hung Guo ◽  
Kuo Hsien Hsia
Keyword(s):  
Image Processing ◽  
Control System ◽  
Mobile Robot ◽  
Pid Control ◽  
Balance Control ◽  
Tracking System ◽  
Control Law ◽  
Moving Target ◽  
System A ◽  
Feedback Data

The purpose of this paper is to develop an intelligent mobile robot using image processing technology. The mobile robot is composed of a visual tracking system, a loading platform, a balance control system, a PC-based controller, four ultrasonic sensors and a power system. We develop a PC based control system for image processing and path planning. The mobile robot can track a moving target and adjust the loading platform by the balance control system simultaneously. The Image processing based on OpenCV use two different tracking methods, MTLT (Match Template Learning Tracking) and TLD (Tracking, Learning and Detection), to track moving targets. The efficiencies of both methods for tracking the moving target on the mobile robot are compared in this paper. The loading platform control system uses HOLTEK Semiconductor Company's HT66F Series 8-bit microprocessor as the processor, and receives the feedback data from the FAS-A inclinometer sensor. The controller of the loading platform uses the PID control law according to the feedback signals of the inclinometer sensor, and controls the rotation speed of the platform motor to tune the balance level. Keywords— Intelligent mobile robot, Image processing, OpenCV, MTLT, TLD, HOLTEK, FAS-A inclinometer sensor, PID control.

Application of Torque Control Mode in Drilling & Routing Machine

2012 ◽  
Vol 569 ◽  
pp. 758-762
Author(s):  
Guang Chao Liu ◽  
Ming Jun Liu
Keyword(s):  
Control System ◽  
Dynamic Response ◽  
Pid Control ◽  
High Speed ◽  
Torque Control ◽  
Control Mode ◽  
Control Law ◽  
Forward Algorithm ◽  
Positioning Systems ◽  
Speed And Accuracy

In high speed and accuracy positioning systems, torque control mode can achieve much better dynamic response and easy tuning of PID parameters compared to those of position and speed control modes. By adopting and implementing the improved PID control law with feed forward algorithm, the control system can provide much higher performance at high speed movement.

DEVELOPMENT OF TRACKING SYSTEM FOR MOBILE ROBOT USING IMAGE RECOGNITION ALGORITHMS

2015 ◽  
Vol 39 (3) ◽  
pp. 501-513 ◽  
Author(s):  
Kuo-Lan Su ◽  
Bo-Yi Li ◽  
Kuo-Hsien Hsia
Keyword(s):  
Image Processing ◽  
Control System ◽  
Mobile Robot ◽  
Pid Control ◽  
Balance Control ◽  
Tracking System ◽  
Control Law ◽  
Moving Target ◽  
Image System ◽  
System A

In this paper, an intelligent mobile robot using image processing technology is developed. The mobile robot contains an image system, a loading platform, a balance control system, a PC-based controller, four ultrasonic sensors and a power system. We develop a PC-based control system for image processing and path planning. The mobile robot can track a moving target and adjust the loading platform by the balance control system simultaneously. The image processing based on OpenCV uses two different tracking methods to track moving targets: MTLT (Match Template Learning Tracking) and TLD (Tracking, Learning and Detection). The efficiency of both methods for tracking the moving target on the mobile robot is compared here. The balance control system, with a HOLTEK Semiconductor Company’s HT66F Series 8-bit microprocessor as the processor, uses the PID control law according to the feedback signals of the inclinometer sensor to control the balance level of the loading platform.

Active Vibration Control Design of Multi-Rigid-Flexible-Body Systems Based on Transfer Matrix Method for Multibody Systems

2018 ◽  
Author(s):  
Gangli Chen ◽  
Xiaoting Rui ◽  
Yuanyuan Ding ◽  
Hanjing Lu
Keyword(s):  
Vibration Control ◽  
Transfer Matrix ◽  
Transfer Matrix Method ◽  
Matrix Method ◽  
Multibody Systems ◽  
Active Vibration Control ◽  
Control Design ◽  
Flexible Body ◽  
Global Dynamics ◽  
Active Vibration

A new approach for active vibration control design of multi-rigid-flexible-body systems based on transfer matrix method for multibody systems (MSTMM) is presented in this paper. The vibration characteristics are computed by solving homogeneous linear algebraic equations. Then, the augmented eigenvector and body dynamics equation are adopted to derive the state space representation by combining modal superposition method. Furthermore, Linear Quadratic Gaussian (LQG) control strategy is employed to design the control law. Compared with the conventional methods, the proposed method has the following features: without system global dynamics equation, high programming, low order of system matrix and high computational speed. Formulations as well as a numerical example are given to validate the proposed method.

Test Dynamics Method of Non-Full Loading Firing for Multiple Launch Rocket System Using Transfer Matrix Method for Multibody Systems

2018 ◽  
Author(s):  
Yunfei Miao ◽  
Guoping Wang ◽  
Xiaoting Rui ◽  
Tianxiong Tu ◽  
Lilin Gu
Keyword(s):  
Transfer Matrix Method ◽  
Matrix Method ◽  
Multibody Systems ◽  
Simulation System ◽  
Test Method ◽  
Firing Test ◽  
Rocket System ◽  
Full Loading ◽  
Dynamics Method ◽  
Precision Test

This paper studies test dynamics method of non-full loading firing for multiple launch rocket system (MLRS) and provides a new test method for reducing rocket consumption in MLRS firing precision test. Based on the theories of launch dynamics and Rui method, namely the transfer matrix method for multibody systems (MSTMM), launch dynamics model, characteristic equations and dynamics response equations of MLRS are established. The launch and flight dynamic simulation system for MLRS is developed combining the Monte Carlo simulation technology. The simulated results of vibration characteristics, rocket initial disturbance, and firing precision are verified by modal test, pulse thrust test and firing test, which show the simulation system can more accurately reflect the dynamic characteristics of the actual system and its dynamics computation has sufficient accuracy. The relationship between the initial state of MLRS and the mean value and median error of the impact points are established. Based on the idea of equal initial disturbance, non-full loading firing test dynamics method is presented for reducing the rocket consumption in firing precision test, by optimizing the loading position, firing orders and firing intervals of the rockets. For a practical MLRS, a seven-shot test scheme is designed and tested. The experimental results show that the amount of the rockets in firing precision test is reduce by 61% compared with the conventional test method, which saves a lot of testing costs.

Research on the Influence of Load Disturbance on the Crystallizer PID Control System

2014 ◽  
Vol 496-500 ◽  
pp. 1277-1280
Author(s):  
Jun Xia Gao
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Vibration Control ◽  
Pid Control ◽  
Sinusoidal Vibration ◽  
Matlab Simulink ◽  
Load Disturbance ◽  
Different Types ◽  
Hydraulic Servo

Based on the simulation model of hydraulic servo non-sinusoidal vibration control system by MATLAB/Simulink,the paper analyzed the degree of the best performance under different types of load disturbance on the crystallizer PID control System, and discussed the influence the amplitude and frequency of load disturbance on the control system. It has certain theoretical guiding significance for practical production.

Design and Simulation of Grinding Force Control System for Wafer Self-Rotating Grinding

2011 ◽  
Vol 403-408 ◽  
pp. 762-766
Author(s):  
Jia Ping Yu ◽  
Xin Wei ◽  
Zhuo Chen ◽  
Pei Yong Lin
Keyword(s):  
Control System ◽  
Pid Control ◽  
Force Control ◽  
Control Method ◽  
Grinding Force ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling Simulation ◽  
Force Control System ◽  
Simulation And Experiment

According to the features of the self–rotating grinding, the real-time grinding force control system was designed. The Fuzzy-PID control method has been proved to be the most suitable control method and fulfill the system’s needs through the modeling, simulation and experiment of the system in this paper.

Simulation and adaptive control of back propagation neural network proportional–integral–derivative for special launcher using new version of transfer matrix method for multibody systems

2019 ◽  
Vol 26 (9-10) ◽  
pp. 757-768 ◽  
Author(s):  
Yunfei Miao ◽  
Guoping Wang ◽  
Xiaoting Rui
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Control System ◽  
Transfer Matrix Method ◽  
Matrix Method ◽  
Multibody Systems ◽  
Proportional Integral Derivative ◽  
Backpropagation Neural Network ◽  
Proportional Integral ◽  
Proportional Integral Derivative Control

Rocket launcher system, as a special launcher placed on tactical vehicles, is a very complex mechanical system with characteristics of strong shock and vibration. In order to improve position accuracy, as well as reduce vibration, this paper creates a nonlinear dynamics model of the launcher system by using a new version of the transfer matrix method for multibody systems. The overall transfer equation of the nonlinear model is deduced. Combining with general kinematics equations of the rocket, the system launch dynamics are simulated and compared with experiments to verify the correctness of the model. On this basis, a backpropagation neural network proportional–integral–derivative adaptive control system is designed to improve servo control of the launcher. Then, the effectiveness of this method is verified by comparing with the traditional proportional–integral–derivative control method. Simulated results show that the backpropagation neural network proportional–integral–derivative control system makes the azimuth and elevation angles reach the target values smoothly and quickly, with higher accuracy. The results prove that the proposed method prominently reduces vibrations of the launcher, by adjusting the control parameters online according to the operation state of the system, presenting a better stability and robustness.

Design Method of Semi-Active Control Systems Minimizing the Error Between the Controlled Signals of the Semi-Active and its Reference Active Control Systems

2017 ◽  
Author(s):  
Kazuhiko Hiramoto ◽  
Taichi Matsuoka ◽  
Katsuaki Sunakoda
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Systems ◽  
Active Control ◽  
Output Signal ◽  
Error Function ◽  
Quadratic Function ◽  
Control Law ◽  
Lyapunov Matrix ◽  
Active Control System

We propose a semi-active vibration control method of structural systems based on the output emulation approach. In the output emulation approach, the semi-active control law is obtained so that the controlled output signal of the semi-active control system is similar to that of the reference active control system. The reference active control system is a virtual control system employing the actuator for vibration control and achieves the ideal control performance. Because the constraints of the semi-active control comes from the inherent dissipative characteristics of semi-active control devices a certain amount of the error of the controlled output signals between the semi-active and its reference active control system is unavoidable. To realize the semi-active control system based on the output emulation approach, i.e., the semi-active control system whose controlled output signal is similar to that of the reference active control system, the semi-active control law in the present study is obtained for minimizing an error function related to the controlled output. The error function is defined as a quadratic function on the output signal of the error between the semi-active and its reference active control systems and the Lyapunov matrix. The control characteristics of the reference active control law and free parameters in the Lyapunov matrix are searched with a boot-strap optimization algorithm for the optimal semi-active control system. Some simulation results are shown to claim the effectiveness.

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