Study of Fuzzy Control for Turbofan Engine Based on Improved Genetic Algorithms Optimization

2011 ◽  
Vol 148-149 ◽  
pp. 1072-1076
Author(s):  
Yu Hu ◽  
Yue Cheng Yang ◽  
Shi Ying Zhang ◽  
Xi Xing Yu
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Improved Genetic Algorithm ◽  
Control Effect ◽  
Component Level ◽  
Turbofan Engine ◽  
Control Precision ◽  
Level Model ◽  
Fuzzy Control Algorithm ◽  
Great Control

In the paper, the fuzzy control algorithm was studied in turbofan engine. The turbofan engine models of “little deflection” model and “large deflection” model were built based on component level model. Then, a fuzzy controller, including the fuzzy-integral mixed controller, smith forecast and compensation, was designed with the fuzzy rules were optimized by improved genetic algorithm. The simulation results show that the designed control system responds fast, has no overshoot or oscillation, and the control precision is high. The controller can effectively solve time delay influence with a great control effect for “little deflection” model and acceleration model.

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.

A System of Position Control for Cylinder Based on Self-Tuning Fuzzy Control

2012 ◽  
Vol 241-244 ◽  
pp. 1496-1499
Author(s):  
Rui Kun Gong ◽  
Li Jing Zhao ◽  
Chong Hao Wang ◽  
Ya Nan Zhang
Keyword(s):  
Fuzzy Control ◽  
Position Control ◽  
Fuzzy Controller ◽  
The Self ◽  
Accuracy Control ◽  
Strongly Nonlinear ◽  
Single Output ◽  
Control Precision ◽  
Self Tuning ◽  
Fuzzy Control Algorithm

For cylinder position servo system strongly nonlinear and uncertainty, This article puts forward cylinder position control system based on self-tuning fuzzy control. The self-tuning fuzzy control algorithm was introduced to ensure the application of cylinder position control. The self-tuning fuzzy controller we designed applied the control model of double input of position deviation and its deviations rate and single output of control quantity. The study suggested that the position control precision may reach ±0.25 mm.This system can make the cylinder position to get high accuracy control.

Research of Temperature Control System Based on Fuzzy Control Algorithm for Mixer

2009 ◽  
Vol 87-88 ◽  
pp. 288-292 ◽  
Author(s):  
Chuan Sheng Wang ◽  
Fu Hai Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Cooling Water ◽  
Host Computer ◽  
Temperature Control System ◽  
Control Value ◽  
Fuzzy Control Algorithm

The changes of temperature in the rubber mixing process is of great significance. How to ensure the changes of temperature in rubber mixing is an important issue. The article introduces the temperature control system based on the fuzzy control algorithm. Using the host computer as the fuzzy controller, and the host computer educes the control value based on the difference between the reference input and the measure value. The system automatically discharges of high temperature water and automatically adds the appropriate amount of cooling water. The system can ensure the stability of the mixing temperature and ensure the quality of rubber mixing.

A Sort of Fuzzy Intelligence Control Strategy for Complex System

2011 ◽  
Vol 187 ◽  
pp. 169-174 ◽  
Author(s):  
Yu Cheng Liu ◽  
Yu Bin Liu
Keyword(s):  
Complex System ◽  
Control Strategy ◽  
Effective Control ◽  
Control Effect ◽  
Expert Control ◽  
Control Precision ◽  
Optimal Pid Control ◽  
Intelligence Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

For complex controlled object with the large time delay link, it was difficult to get effective control effect by means of traditional fuzzy control algorithm. Aimed at enhancing the control quality in control precision and so on for complex system, the paper proposed a sort of fuzzy intelligence control strategy. It fused the expert control experience combing with human simulated intelligence control, designed the control rule, proposed the mode of running controller and explored the principle of parameter calibrating layer. The system simulation experiment explained that the control effect was much better than optimal PID control in dynamic and steady quality. The results show that the fuzzy intelligent control strategy is reasonable and feasible, high in control precision, better in dynamical and steady control effect, and it represents very strong robustness.

Design on Fuzzy Controller of DC Motors Speed Control Based on DSP

2013 ◽  
Vol 722 ◽  
pp. 357-360
Author(s):  
Peng Jie Zhang ◽  
Ji Hong Guo ◽  
Hong Jing Ma ◽  
Hong Ming Ma
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Design Procedure ◽  
Speed Control ◽  
Fast Response ◽  
Dc Motor ◽  
Motor Speed ◽  
Control Effect ◽  
Dc Motor Control ◽  
Fuzzy Control Strategy

Aiming at the problems of nonlinearity, time-variant parameters, and uncertainty of system mathematical model in the PID regulator of DC motor control, a fuzzy controller of DC motor speed control based on TMS320LF2407A is designed in this paper, using the fuzzy control strategy to control, and its design procedure is described. The experimental results show that the speed control system of DC motor by using DSP controller and fuzzy control algorithms has a fast response, slight overshot and good stability, and improves the control effect.

Manipulator visual localization motion control for power cable mobile robot in dynamic-unstructured environment

2019 ◽  
Vol 46 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Wei Jiang ◽  
An Zhang ◽  
Gongping Wu ◽  
Lianqing Yu ◽  
Hong Jun Li ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Operational Efficiency ◽  
Visual Localization ◽  
Control Parameters ◽  
Content Type ◽  
Autonomous Search ◽  
Drainage Line ◽  
Fuzzy Control Algorithm

Purpose To improve the operational efficiency and intelligence of live operation robots in dynamic-unstructured operation environments, this paper aims to propose a fuzzy logic-based method for the autonomous search and visual localization control of a manipulator end effector applied to a drainage plate bolt on a high-voltage transmission line. The proposed approach is based on a four-way video image information output from a dual-operation manipulator. Design/methodology/approach First, based on the structural characteristics of the drainage line, an autonomous search method for the drainage plate bolt and a mapping relationship between the autonomous search control parameters and the relative posture of the operation manipulator-drainage line are proposed. The posture control parameters of the dual manipulators can then be obtained, and a two-dimensional fuzzy controller is designed with the posture offset distance and the posture offset angle as its input signals. This enables the localization control of the bolt and nut alignment to be realized through a visual process. Findings The proposed fuzzy control algorithm is used for bolt location control, and its performance is compared with that of the conventional approach. The simulation results indicate that the fuzzy control algorithm greatly improves the localization accuracy and operational efficiency of live operation robots. Originality/value Field operation experiments on actual transmission lines verify that the fuzzy control-based visual localization control of the robot manipulator has great engineering practicality. Therefore, the proposed method further improves operational intelligence compared with conventional algorithms.

Paper Cutter Fuzzy-PI Speed Control Based on PLC

2011 ◽  
Vol 204-210 ◽  
pp. 1129-1134
Author(s):  
Rui Zhang ◽  
Le Peng Song ◽  
Jun Ling Yang ◽  
Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Time Delays ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Speed Control ◽  
Pi Regulator ◽  
Modifiable Factors ◽  
Strong Robustness ◽  
Fuzzy Control Algorithm

This paper presents a compound fuzzy control algorithm method having modifiable factors based on PLC, and the modified fuzzy controller and PI regulator is realized by PLC, the system solves problems of imprecise paper cutter speeds, instability, and paper cuttings of different lengths. The results show that the system can effectively restrain influences from pure time-delays while maintaining stability and strong robustness.

Temperature Control System Based on Electronic Boiler

2013 ◽  
Vol 325-326 ◽  
pp. 1197-1201
Author(s):  
Guo Sheng Xu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Fuzzy Controller ◽  
System Simulation ◽  
Temperature Control System ◽  
Control Effect ◽  
Simulation Research ◽  
Control Regulation ◽  
Control Scheme

Research has been done aimed at the boiler's temperature control system, and available control scheme is put forward. Combining with the output response of control system, simulation research and the control regulation of fuzzy controller are done to analyse, after experiments for many times repeatedly, fuzzy control regulation is ensured. The simulation result indicates that control effect is ideal, which means this scheme is identified as ideal temperature control system scheme.

A new solution to the coupled problems of aero-propulsion system deceleration under supersonic state

2021 ◽  
pp. 095440622110528
Author(s):  
Fengyong Sun ◽  
Chunsheng Ji ◽  
Tengfei Zhang
Keyword(s):  
Integrated Control ◽  
Control Variable ◽  
Propulsion System ◽  
Effective Control ◽  
Coupled Problems ◽  
Component Level ◽  
Turbofan Engine ◽  
Control Scheme ◽  
Level Model ◽  
Rapid Drop

Under supersonic state, the aero-propulsion system exhibits different coupled characters in deceleration from that in acceleration. However, the deceleration control has not been fully studied. In order to solve the coupled problems, an integrated component-level model including inlet and turbofan engine was established. Based on the integrated model, the particularity of inlet adjustment during deceleration was analyzed. And the analyzed results showed that the inlet regulation is not necessary to keep the inlet and engine working in well-matched at any time under supersonic state. Due to the coupled relationship between inlet and turbofan engine, a new optimal integrated control scheme is proposed in this paper. The inlet ramp angle is taken as an optimal control variable as the same as main fuel mass flow and nozzle throat area. The simulation results indicate that inlet ramp angle regulation showed a more effective control quality in the rapid drop of aero-propulsion–installed thrust. Furthermore, the deceleration could be completed in a shorter control time.

A Fuzzy Control Method Combined with Optimal Feed-Forward for Dry Desulfurization of Slurry Fluidized Bed Boiler

2012 ◽  
Vol 610-613 ◽  
pp. 1676-1681
Author(s):  
Ai Peng Jiang ◽  
Qiang Ding ◽  
Jian Wang ◽  
Weiwei Lin ◽  
Zhou Shu Jiang
Keyword(s):  
Fuzzy Control ◽  
Fluidized Bed ◽  
Control Method ◽  
Fuzzy Controller ◽  
Coal Slurry ◽  
Control Technology ◽  
Control Effect ◽  
Feed Forward ◽  
Optimal Feed ◽  
The Impact

It is the most effective resource use practices for coal slurry to be used as fuel for fluidized bed boiler. The dry desulfurization of slurry fluidized bed boiler is a large time delay system, and the load disturbance of this system changes frequently. In order to achieve stable control of SO2 emission and meet environmental requirements, a fuzzy control technology combined with the optimal feed-forward was designed. Combined with field experience, a fuzzy controller system was designed by fuzzy control technology, and then the integral process was added to achieve non-error track. To reduce the impact of desulfurizer and other factors, based on the principle of feed-forward, an objective to minimize disturbance impact was obtained, and then a nonlinear programming problem for solving the optimal feed-forward parameters was established, from which the best feed-forward form can be obtained. Results of 440T/H fluidized bed boiler show that the proposed method has satisfactory control effect. SO2 concentration can fully meet environmental emission requirements, and its fluctuation is relatively small.

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