Research on the Temperature Control Algorithm of the Poultry Farm

2014 ◽  
Vol 602-605 ◽  
pp. 1206-1209
Author(s):  
Xiang Jie Niu
Keyword(s):  
Temperature Control ◽  
Control Algorithm ◽  
Good Control ◽  
Fast Response ◽  
System Stability ◽  
Poultry Farm ◽  
Control Effect ◽  
Control Precision ◽  
High Control ◽  
The Impact

The environment in poultry farm is a complex system with time-varying, nonlinear and pure lag. The traditional temperature control algorithm is difficult to obtain good control effect. In order to solve the issues of larger overshoot, vibration, low control accuracy and so on, this paper presents a fuzzy-PID estimated control algorithm. Firstly, the system identification is used to get more accurate system model. Then, using the fuzzy control rules improves the system stability precision, reduces the impact of the delay on the system and improves the adaptability of the system. Simulation results show that the proposed control strategy has a fast response, small overshoot, robustness, high control precision and so on. It provides a reference for intelligent control design of poultry temperature.

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.

Design of Parameter Adaptive Fuzzy Controller for the Planar Double Inverted Pendulum

2013 ◽  
Vol 273 ◽  
pp. 759-763
Author(s):  
Wei Zhang ◽  
Jiao Long Zhang
Keyword(s):  
Inverted Pendulum ◽  
Fuzzy Controller ◽  
Good Control ◽  
Fast Response ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Control Precision ◽  
Input Variables ◽  
The Impact ◽  
Parameter Adaptive

In this paper, The mathematical model is established using analytical dynamics method for planar double inverted pendulum, based on optimal control theory, parameter adaptive fuzzy controller is designed by use of variable fusion technology, thereby it can reduce the dimension of the input variables of the fuzzy controller, greatly decrease the number of the fuzzy rules, and the impact of the quantization factor on the control effectiveness is studied. The designed controller for system is applied in simulation experiments, the results show that the fuzzy controller can guarantee good control precision, fast response, control planar inverted pendulum stability.

PID Temperature Control Systems of Greenhouse Based on FSM Methodology

2015 ◽  
Vol 740 ◽  
pp. 225-228
Author(s):  
Yang Liu ◽  
Ji Qian ◽  
Juan Zhou
Keyword(s):  
Control Systems ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
High Reliability ◽  
Variable Temperature ◽  
Good Control ◽  
Control Effect ◽  
Finite State ◽  
Reduced Instruction Set Computer

PID Temperature Control Systems of Greenhouse Based on FSM (finite state machines) Methodology is used in variable-temperature-controlled greenhouse. This system cored with an advanced 16 bit RISC (Reduced Instruction Set Computer) MPU MSP430F149 with low power. The sensors employ a higher accuracy Pt1000 Resistance Temperature sensor and Silicon Photoelectric Generator. In software design, it used the thinking of FSM programming increment style PID Control algorithm. The Flexible Application of FSM can make the program clear and more effectively to management. The increment style PID Control algorithm avoids paranormal value when setting temperature is changed and temperature control more accurately. The cite operation shows that this controller has the advantages such as high reliability and good control effect.

The Research for Electro-Hydraulic Servo Control System Based on Fuzzy PID

2011 ◽  
Vol 337 ◽  
pp. 209-213
Author(s):  
Bao Quan Jin ◽  
Yan Kun Wang ◽  
Fan Tian
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Uncertain System ◽  
Response Speed ◽  
Fast Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Hydraulic Servo ◽  
High Control

Electric-hydraulic servo system is a nonlinear and uncertain system with time-varying parameters and interference. The fuzzy PID control algorithm is used,which not only keep the flexible characteristic of fuzzy control algorithm but also inherit the traditional PID control algorithm advantages of high control precision. Research shows that fuzzy PID control has the character of fast response speed, rising fast, small lag, small overshoot, anti-interference, do not depend on the accurate model.

System of Annealing Furnace Temperature Control Based on Neural Network

2014 ◽  
Vol 1044-1045 ◽  
pp. 881-884
Author(s):  
Xin Wang ◽  
He Pan
Keyword(s):  
Neural Network ◽  
Temperature Control ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Nonlinear Approximation ◽  
Annealing Furnace ◽  
Furnace Temperature ◽  
Control Precision ◽  
High Control ◽  
Adaptive Ability

In the thesis the adaptive ability of neural network strong and good nonlinear approximation ability, A controller is designed based on BP neural network by the adaptive ability of neural network strong and good nonlinear approximation ability in this paper, this method changed defect of the usual PID controller that parameters of annealing furnace condition are not easy set and the ability to adapt is poor. The new method is not only has good stability, but also has high control precision and strong adaptability.

Design Closed-Loop Measurement and Control System of Drilling Rig

2011 ◽  
Vol 308-310 ◽  
pp. 2042-2046
Author(s):  
Yan Jiao ◽  
Ling Gao ◽  
Si Ming He
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Good Control ◽  
System Stability ◽  
Control Effect ◽  
Drilling Rig ◽  
Loop Feedback ◽  
Rotary Speed ◽  
Stability And Accuracy ◽  
Measurement And Control

In order to overcome the deficiencies of outdated hydraulic system of drilling rig, The testing drilling system is designed, which provides drilling parameters of inspecting, recording and controlling to meet the need of high power and complex drilling controlling. Meanwhile, the improved incremental PID and the multiple algorithm of Fuzzy-PID realize closed-loop feedback control of drilling pressure and rotary speed, what enhance the control system stability and accuracy, and achieve the sake of good control effect so that the system achieves the targets with speed range from 0 to 160r/min and pressure range from 0 to 20MPa.

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.

Design of Temperature Control System Based on DSP and Fuzzy Neural Network

2013 ◽  
Vol 823 ◽  
pp. 384-387
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang ◽  
Gen Wang Ying
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Fuzzy Neural Network ◽  
Good Control ◽  
Temperature Control System ◽  
Control Effect ◽  
Fuzzy Neural ◽  
Electric Boiler ◽  
Self Tuning

Using fuzzy neural network to tune PID parameters, and DSP as processor, it was designed that a set of electric boiler temperature control system based on PID parameters self-tuning, including the design of each hardware module and each software subroutine of the system. Experimental results show that compared with the traditional PID temperature control system, this temperature control system has the advantages such as good control effect, easy parameter adjustment, strong anti-jamming capability, better adaptability and robustness, has the feasibility and practical value.

A New Type of Proportion Cycle Temperature Control Algorithm

2013 ◽  
Vol 411-414 ◽  
pp. 1851-1854
Author(s):  
Ai Xiang He ◽  
Hai Ning Zhang ◽  
Meng Ke Zhang
Keyword(s):  
Temperature Control ◽  
Control Algorithm ◽  
Environmental Temperature ◽  
Control Effect ◽  
Heater Power ◽  
Heating And Cooling ◽  
New Type ◽  
Temperature Constant ◽  
Short Time ◽  
Cycle Temperature

A new type of proportion cycle temperature control algorithm is proposed in this paper. Controller can automatically identify temperature constant related to the heater power, combined with the real time environmental temperature change, dynamically modify the heating and cooling time, controlled volatility in setting temperature range.When the mutant short time ambient temperature occurs, it can make rapid response, so as to achieve better control effect.

Fuzzy PI Control Strategy of the Air Bleeder Valve on SIMULINK

2012 ◽  
Vol 157-158 ◽  
pp. 433-436
Author(s):  
Yang Wang ◽  
Yin Yan Wang ◽  
Jian Wei Du ◽  
Gui Xin Wang
Keyword(s):  
Diesel Engine ◽  
Control Strategies ◽  
Engine Performance ◽  
Good Control ◽  
Fast Response ◽  
Transformation Process ◽  
Pi Control ◽  
Stable Operation ◽  
Control Effect ◽  
Fuel Delivery

In order to solve cylinder outbreak problem of high pressure, the blowoff system has been added at transformation process from conventional turbo diesel engine to sequential turbocharing diesel engine. Set up air bleeder valve model of diesel engine sequential turbocharing high condition based on SIMULINK software platform and the air bleeder valve regulated by fuzzy PI control strategies, when the stable operation and in low load conditions of diesel engine, analyses the burst control effect as increase the amount of fuel delivery at different situation. The simulation results show that the model has fast response, high control accuracy and good control effect of high burst pressure, achieve control of diesel engine performance, fuel economy and reliability.

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