Control System of Moving Target Simulator

2012 ◽  
Vol 442 ◽  
pp. 488-492 ◽  
Author(s):  
Rong Chun Sun ◽  
Xue Song
Keyword(s):  
Control System ◽  
Image Motion ◽  
Stepper Motor ◽  
Moving Target ◽  
The Core ◽  
Control Precision ◽  
Ground Target ◽  
Design Requirements ◽  
High Control ◽  
Rotation Motion

To test the accuracy of image motion compensation of space camera, the moving target simulator was developed according to the principle of relative motion. As the core controller, PIC microcontroller controls DC motor to drive photoetching turntable rotating to simulate the relative linear velocity between ground target and aircraft, and the rotation motion is divided into uniform velocity rotation and sinusoidal velocity rotation. Furthermore, the simulation of drift angle of aircraft was realized by controlling stepper motor to drive the photoetching turntable deflecting, and the deflection includes uniform deflection, sinusoidal velocity deflection and specified angle positioning. The design of the hardware and software of control system has been completed and tested, and the experiment results show that the control system has high control precision and meets the design requirements.

BLDC Motor Torque Ripple Control Using Self-Tuning PID Fuzzy Control System

2016 ◽  
Vol 851 ◽  
pp. 459-463 ◽  
Author(s):  
Chao Wang ◽  
Zhuang Li ◽  
Guang Qing Kang ◽  
Chun Yan Zeng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Torque Ripple ◽  
Static Characteristic ◽  
Bldc Motor ◽  
Fuzzy Control System ◽  
Control Precision ◽  
Self Tuning ◽  
High Control

In order to suppress the torque ripple of the BLDC motor, at the same time considering the nonlinear and uncertainty of the BLDC motor, this paper mainly proposes a self-tuning PID fuzzy algorithm to control the torque ripple. Self-tuning PID fuzzy control is integrating the advantages of PID control system and fuzzy control system, using the error and change of error as inputs, and adjustment of PID parameter on-line by fuzzy control rules. Self-tuning PID fuzzy has the advantages of flexible and adaptable, and also have the characteristics of traditional PID control system such as broad applicability and high control precision. The results of simulation show that the self-tuning PID fuzzy control can suppress the torque ripple of BLDC motor effectively, the optimization of the dynamic and static characteristic of the system, satisfying the requirements of system performance, the superiority and reliability of the control strategy was verified.

Novel infrared camouflage technology based on electrochromism

2021 ◽  
pp. 1-28
Author(s):  
Zhonggen Ding ◽  
Feifei Lu ◽  
Yuge Han
Keyword(s):  
Control System ◽  
Cooperative Control ◽  
Fast Response ◽  
Calculation Model ◽  
Control Effect ◽  
Control Precision ◽  
High Control ◽  
Control Stability ◽  
Control System Model ◽  
Infrared Camouflage

Abstract Under the background of developing the advanced infrared camouflage technology, a novel idea of infrared regulation based on cooperative control of emissivity and temperature was proposed. Combining the traditional temperature calculation model, the infrared characteristic calculation model and the proportional-integral-differential (PID) control strategy, the corresponding adaptive infrared control system model was designed. By integrating the electrochromic material with the thin film resistor, the theoretical feasibility of the infrared control system was verified by the principle prototype. On this basis, the models of space target and its profiling decoy were established, and the infrared camouflage characteristics of profiling decoy in 3-5µm band and 8-14µm band were studied respectively. The results show that the profiling decoy with cooperative control of emissivity and temperature can achieve better infrared control effect than that of ordinary temperature control. The cooperative control system can effectively reduce the overshoot of radiation and has the ability of fast response, high control precision and control stability.

Research of Detection and Control System for Lunar Dust Effects Simulator

2012 ◽  
Vol 426 ◽  
pp. 126-130
Author(s):  
Zhi Rong Liao ◽  
Liang Zhou ◽  
D. Gao ◽  
X.L. Zhang ◽  
M.L. Yin
Keyword(s):  
Control System ◽  
Stepper Motor ◽  
Motor Speed ◽  
Lunar Dust ◽  
Convolution Filter ◽  
Speed Up ◽  
High Control ◽  
Dust Effects ◽  
And Control ◽  
Control Accuracy

To simluate the effects of lunar dust environment veritably by using lunar dust effects simulator, a detection and control system based on singlechip microcomputer was developed. In this system, peripheral circuits with stepper motor driver, temperature sensor and rotary transformer were used to collect the signals and control the temperature as well as speed. Stepper motor speed up/down curve, digital convolution filter and error compensation were adhibited for improving the system accuracy. The results showed that this method was simple, reliable and had high control accuracy.

Research on Hydraulic Control System of Straightening Machine with Nine Rolls for Plates Based on BP Neural Network PID Controller

2013 ◽  
Vol 820 ◽  
pp. 117-121 ◽  
Author(s):  
Song Li ◽  
Jin Chun Song ◽  
Guan Gan Ren ◽  
Yan Cai
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Mechanical Transmission ◽  
Hydraulic Control ◽  
Control Precision ◽  
Transmission Equipment ◽  
High Control ◽  
Neural Network Pid

A mechanical transmission equipment of traditional straightening machine for plates are driven by worm gear and worm, which causes small straightening force, slow pressing speed and low control precision. However, screwdown control system of straightening machine can be driven by hydraulic system, which will lead to large straightening force, rapid pressing speed and high control precision. This system was designed for straightening machine with nine rolls for plates, its transfer function was deduced, and the analysis on its stability and time response was conducted. A BP neural network PID controller was utilized in the system for improving dynamic characteristics. It can be concluded that the system responds rapidly, and stability and control precision are high if BP neural network PID controller is used in the system.

Study and Development on an Electro-Hydraulic Pressure Control System of the Riveting Machine

2013 ◽  
Vol 321-324 ◽  
pp. 1641-1644 ◽  
Author(s):  
Li Xu
Keyword(s):  
Control System ◽  
Control Parameter ◽  
Pressure Control ◽  
Fast Response ◽  
Hydraulic Pressure ◽  
Precise Control ◽  
Control Precision ◽  
Pressure Control System ◽  
Hydraulic Servo ◽  
High Control

An electro-hydraulic servo pressure control system was proposed, which meet the request of fast response, zero overstep and high control precision, based on analyzing the technique of riveting. The proper control parameter which is got by the debugging result of the PID arithmetic in PLC realized the precise control of systems pressure. In practice the device has good application value.

The Implementation of the Air Jet Loom High-Precision Weft Insertion Control System Based on FPGA

2012 ◽  
Vol 229-231 ◽  
pp. 2270-2275
Author(s):  
Rui Hong Yu ◽  
Yan Qin Li ◽  
Li Xin Li ◽  
Jia Bo Li
Keyword(s):  
Control System ◽  
High Precision ◽  
High Speed ◽  
Parallel Execution ◽  
Control Precision ◽  
Air Jet ◽  
Good Consistency ◽  
High Control ◽  
Hardware Circuit ◽  
Air Jet Loom

With the respect of the problem of that the control precision of air jet loom weft insertion control system can not satisfy the requirement of the high-speed loom, this article presented a high-precision weft insertion control system taking FPGA as the control core, and it designed hardware circuit and software framework. This control system generates weft insertion control signal which is figured out through the parallel execution of the FPGA program. The practice shows that the system owns the features of high control precision, good consistency and so on, and it has a significant importance to the high-speed development of air jet loom.

Research on Multi-Information Fusion Control System of Textile Workshop Environment

2011 ◽  
Vol 130-134 ◽  
pp. 3803-3806 ◽  
Author(s):  
Jing Zhao Li ◽  
Gao Xin Cheng
Keyword(s):  
Control System ◽  
Information Fusion ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Fusion Algorithm ◽  
Control Precision ◽  
Environment Control ◽  
High Control ◽  
Propagation Network ◽  
Hardware Circuit

Back propagation network can provide dynamic maps and deal with historical data by increasing self-loop. By using the improved circle back propagation neural network, Multi-information fusion algorithm are realized and used to environment control system of textile workshop. Hardware circuit of the system is designed with the embedded microprocessor and appropriate detection devices. The training and algorithmic design of self-loop back propagation network can be achieved by embedded systems programming based on the portable operating system. Application shows that the multi-information fusion control system of textile workshop Environment, which based on local self-loop back-propagation network, has high control precision.

The Research for Electrostatic Spinning Parameters Control System at High Voltage

2012 ◽  
Vol 263-266 ◽  
pp. 776-780 ◽  
Author(s):  
He Gong ◽  
Cai Dong She ◽  
Jian Li ◽  
Shi Jun Li
Keyword(s):  
High Voltage ◽  
Displacement Sensor ◽  
Stepper Motor ◽  
Factors Affecting ◽  
The Core ◽  
Spinning Process ◽  
High Control ◽  
And Control ◽  
Material Temperature ◽  
Control Accuracy

In electrospinning at high voltage, material temperature, the distance between needle and collecting plate and the situation on pushing on material within needle are factors affecting the spinning quality. The paper used the microcontroller as the core, adopted the stepping motor to regulate collecting plate position driving machinery, got feedback by the displacement sensor. During the spinning process, using the infrared temperature probe to measure the needle, meanwhile controlling miniature stepper motor to advance material within needle in constant speed driving piston. The experimental results show that the system has high control accuracy, temperature accuracy can achieve 0.1°C, spinning interval is 1cm and control accuracy is 0.05mm. It provides technical support for a comprehensive, in-depth a electrospinning research.

Study on the Simulating for Temperature Control System of the First Station of Heat Exchanger for Heating Network Based on Fuzzy PID of Double S7-200PLC

2012 ◽  
Vol 580 ◽  
pp. 338-341
Author(s):  
Zhuang Ma ◽  
Hao Miao Zhou ◽  
Yi Yang Zhang
Keyword(s):  
Control System ◽  
Heat Exchanger ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Outlet Temperature ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
High Control

This paper takes the first station of heat exchanger for heating network as an example. Because of the properties of nonlinear, large inertia, pure time – delay, it is controlled by the master slave control system based on double S7-200PLC. The accurate control of the outlet temperature of heat exchanger was realized by fuzzy PID control algorithm. The MATLAB simulation results show that the system has high control precision that it can be satisfied with the demands.

The Influence of Signal Acquiring Unit of Jacquard Control System on the Roughness of Carpet Surface in Textile Equipment

2012 ◽  
Vol 224 ◽  
pp. 524-528
Author(s):  
Zhi Jun Sun ◽  
Yang Xu ◽  
Yi Ze Sun ◽  
Pei Xing Li ◽  
Shuang Huang
Keyword(s):  
Control System ◽  
Theoretical Basis ◽  
Evaluation Model ◽  
Sampling Frequency ◽  
Stepper Motor ◽  
Synchronous Sampling ◽  
The Core ◽  
Core Technology ◽  
Key Factor

Electronic jacquard control system is the core technology of tufted carpet equipment, whose dynamic characteristics determines the quality of tufted carpet surface(the roughness、the level of loop transition phenomenon).In this paper, the structure of jacquard control system is analyzed. And the concept of roughness of carpet surface is given. Its evaluation model is established. Through analysis of structure, we point out that the key factor affecting the quality of carpet surface is signal acquiring unit which is investigated in this paper. We analyze the characteristics of system and the quality of the carpet surface, also establish the model of relationship between the synchronous sampling frequency of stepper motor and the height of carpet loop. Using this simulation model, we get the optimal synchronous sampling frequency of stepper motor to ensure the quality of carpet surface, also provide a theoretical basis for the design of control system.

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