A UAV Longitudinal Control System Design Based on QFT

2015 ◽  
Vol 713-715 ◽  
pp. 726-729
Author(s):  
Chen Yong ◽  
Jin Yong Yu ◽  
Chun Ping Zhang ◽  
Hong Wei Ma
Keyword(s):  
Control System ◽  
Robust Design ◽  
Control Method ◽  
Engineering Application ◽  
Design Procedure ◽  
Model Parameters ◽  
Control System Design ◽  
Control Effect ◽  
Longitudinal Control ◽  
Parameters Uncertainty

In this paper, the basic principle and design procedure of the quantitative feedback theory (QFT) are summarized, then control system of a UAV is designed with the QFT theory. The QFT theory can solve the robust design problem of the UAV control system due to the model parameters uncertainty perfectly. And a method of robust design for UAV is put forward from engineering application perspective. Compared with traditional control method, the simulation result shows that the control system designed by the QFT theory not only has more perfect control effect but has significant value in the engineering application.

Remote Control System Design for Domestic Wall-Mounted Gas Boiler Based on GSM Modem

2013 ◽  
Vol 650 ◽  
pp. 559-564 ◽  
Author(s):  
Jun Peng Xu ◽  
Xiao Qin Ma ◽  
Hong Shen
Keyword(s):  
Control System ◽  
Remote Control ◽  
Temperature Control ◽  
Control Method ◽  
Temperature Sensing ◽  
Temperature Control System ◽  
Control System Design ◽  
Control Effect ◽  
Indoor Temperature ◽  
Remote Control System

In allusion to the traditional temperature control method for domestic wall-mounted gas boiler, this paper designed a temperature control system with a wireless temperature sensing circuit to transmit the real-time indoor temperature to the controller, effectively solved the problem that the detection temperature is always lower than the indoor temperature, and guaranteed the temperature control effect of the wall-mounted gas boiler. Furthermore this temperature control system can set the temperature at home, while users can remotely start and stop the heating of the gas boiler by mobile phone.

Independent wheel control system design for highly automated driving

2021 ◽  
pp. 095440702110065
Author(s):  
Shihuan Li ◽  
Lei Wang
Keyword(s):  
Control System ◽  
Control Method ◽  
Autonomous Driving ◽  
Control System Design ◽  
Steering Control ◽  
Automated Driving ◽  
Accuracy And Precision ◽  
Actual Observation ◽  
Control Scheme ◽  
Interference Measurement

For L4 and above autonomous driving levels, the automatic control system has been redundantly designed, and a new steering control method based on brake has been proposed; a new dual-track model has been established through multiple driving tests. The axle part of the model was improved, the accuracy of the transfer function of the model was verified again through acceleration-slide tests; a controller based on interference measurement was designed on the basis of the model, and the relationships between the controller parameters was discussed. Through the linearization of the controller, the robustness of uncertain automobile parameters is discussed; the control scheme is tested and verified through group driving test, and the results prove that the accuracy and precision of the controller meet the requirements, the robustness stability is good. Moreover, the predicted value of the model fits well with the actual observation value, the proposal of this method provides a new idea for avoiding car out of control.

scholarly journals Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Ruobing Li ◽  
Quanmin Zhu ◽  
Janice Kiely ◽  
Weicun Zhang
Keyword(s):  
Control System ◽  
System Design ◽  
Continuous Time ◽  
Design Procedure ◽  
Control System Design ◽  
Dynamic Inversion ◽  
Wind Energy Conversion ◽  
Model Based ◽  
Time Control ◽  
Energy Conversion System

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. Then, it selects four CT dynamic plants plus a wind energy conversion system for simulation case studies in Matlab/Simulink to test/demonstrate the proposed U-model-based design procedure and dynamic inversion algorithms. This work can be treated as a U-control system design user manual in some sense.

Design and Implementation of Large-Scale Temperature Stability Control System

2014 ◽  
Vol 644-650 ◽  
pp. 313-316
Author(s):  
Wen Lai Liu
Keyword(s):  
Control System ◽  
System Design ◽  
Large Scale ◽  
Control Method ◽  
Temperature Stability ◽  
Stability Control ◽  
Control System Design ◽  
Scale Temperature ◽  
Stability Control System ◽  
The Stability

large-scale temperature stability control method is studied in this paper. In the process of large-scale temperature control, the stability of control is a very important indicator. To this end, this paper proposes a large-scale temperature stability control algorithm based on hierarchical control method. Balance equation of large-scale temperature stability control is created for the effective transmission of control data. According to the constant control theory, large-scale temperature stability control system design is achieved. Experimental results show that the proposed algorithm for large-scale temperature stability control system design, can greatly improve the stability of control, and get the satisfactory results.

Research on Man-Machine Function Allocation of Tank Fire Control System

2012 ◽  
Vol 580 ◽  
pp. 160-164
Author(s):  
Tian Qing Chang ◽  
Dong Chen ◽  
Jun Wei Chen
Keyword(s):  
Control System ◽  
System Design ◽  
Engineering Application ◽  
Current Method ◽  
Control System Design ◽  
Fire Control ◽  
Working Mechanism ◽  
Level Of Automation ◽  
Function Allocation ◽  
New Type

Man-machine function allocation is an important step in new type tank fire control system design. Aiming at the problem of engineering application abilities deficiency in current method, a flow of function allocation is proposed. System working mechanism, functions and tasks are analyzed to define the level of automation and guide preliminary design. AHP is adopted to seek out the optimal plan. The method can offer new theory reference for intelligent tank fire control system design.

Hot Blast Stove Temperature Control System Based on Neural Network Predictive Control

2014 ◽  
Vol 709 ◽  
pp. 281-284 ◽  
Author(s):  
Yao Wu Tang ◽  
Xiang Liu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Delay System ◽  
Temperature Control System ◽  
Control Effect ◽  
Rolling Optimization ◽  
Hot Blast ◽  
Neural Network Predictive Control

Chain type coal-fired hot blast furnace boiler has a strong coupling, large delay, large inertia characteristics. Control effect of control method of mathematic modeling method and the classical routine of it is very difficult to produce the ideal. The predictive control theory combined with neural network theory. Through the model correction and rolling optimization control method of the system is good to overcome the effects of model error and time-varying process. The experimental results showed that neural network predictive control system is improved effectively the static precision and dynamic characteristic. It has better practicability of boiler temperature of this kind of large time delay system.

Modeling and Vibration Control of a Flexible Rotor by Using Magnetic Bearings

2011 ◽  
Author(s):  
Takuya Nomoto ◽  
Daisuke Hunakoshi ◽  
Toru Watanabe ◽  
Kazuto Seto
Keyword(s):  
Control System ◽  
Control Method ◽  
Design Procedure ◽  
Modeling Method ◽  
Magnetic Bearings ◽  
Active Magnetic Bearings ◽  
Flexible Rotor ◽  
Modeling And Control ◽  
Elastic Modes ◽  
And Control

This paper presents a new modeling method and a control system design procedure for a flexible rotor with many elastic modes using active magnetic bearings. The purpose of our research is to let the rotor rotate passing over the 1st and the 2nd critical speeds caused by flexible modes. To achieve this, it is necessary to control motion and vibration of the flexible rotor simultaneously. The new modeling method named as Extended Reduced Order Physical Model is presented to express its motion and vibration uniformly. By using transfer function of flexible rotor-Active Magnetic Bearings system, we designed a Local Jerk Feedback Control system and conducted stability discrimination with root locus. In order to evaluate this modeling and control method, levitation experimentation is conducted.

JIT Quality Control System Design Based on Simultaneous Engineering

2011 ◽  
Vol 110-116 ◽  
pp. 4872-4875
Author(s):  
Yin Ying Yang ◽  
Zi Qi Xu
Keyword(s):  
Quality Control ◽  
Control System ◽  
System Design ◽  
Control Method ◽  
Quality Control System ◽  
Control System Design ◽  
Control Analysis ◽  
Quality Control Analysis ◽  
Quality Control Method ◽  
Simultaneous Engineering

The thesis based on a car engine plant, analyzing the promotion for the introduction of JIT quality control system. Compare the Simultaneous engineering method with traditional JIT quality control method in terms of quality control. Analysis shows that the accumulate material waste ratio during the production process has decreased significantly by using the Simultaneous engineering method.Keywords-component; formatting; style; styling; insert (key words)

Using DCS to Realize Ball Mill Fuzzy Control System

2014 ◽  
Vol 568-570 ◽  
pp. 1131-1134
Author(s):  
Yan Jun Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Ball Mill ◽  
Control Method ◽  
Good Control ◽  
Pi Controller ◽  
Decoupling Control ◽  
Control Effect ◽  
Hot Air ◽  
Look Up Table

By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

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