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.

Oil Temperature Control System PID Controller Algorithm Analysis Research on Sliding Gear Reducer

2014 ◽  
Vol 621 ◽  
pp. 357-364
Author(s):  
Yong Mei Wang ◽  
Xi Gui Wang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
High Reliability ◽  
Algorithm Analysis ◽  
Temperature Control System ◽  
Control Technology ◽  
Widespread Application ◽  
Digital Pid

With the development of computer technology, communication technology, electronic technology and automatic control technology, computer control technology widespread application, has been widely used in iron and steel, petroleum, chemical, electric power, building materials, machinery manufacturing, automotive, textile, transportation and other industries. Controlled by computer, we can realize the control of high reliability, process visualization, remote monitoring, data storage and processing. The simulation of PID control algorithm, and focuses on the study and analysis of the digital PID control algorithm, the marine gear lube oil temperature control system model, the three parameters of digital PID: proportional coefficient, integral constant, differential constant on the control system performance was also analyzed.

Simulation Experiment of Differential Improvement Based on PID Control Algorithm

2014 ◽  
Vol 898 ◽  
pp. 775-778
Author(s):  
Shao Hua She
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Control Method ◽  
Good Control ◽  
System Structure ◽  
Discrete Control ◽  
Control Effect ◽  
Network Information ◽  
The Stability

The network information processing is realized by the interaction between the processing units, differential forward PID control is the discrete control that is applied to PID control and traditional PID control, and they will produce an improved control method that is an improvement and optimization on the traditional PID control. Firstly, this paper carries on analysis for the conventional control system structure of industrial production process, while the conventional PID control algorithm has been specially compared. On the basis, the modified differential forward PID control is built, and to validate the stability of the system, using MATLAB special simulation tools carry out control effect of simulation experiment. The experimental results show that the improved system can obtain good control effect by weighted processing, to provide technical support for the research of this field to a certain extent.

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.

Application of PID Control Algorithm Based on Improved BP Neural Network to Turntable System

2012 ◽  
Vol 490-495 ◽  
pp. 191-194
Author(s):  
Yang Feng ◽  
Qing Jiu Xu
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Good Control ◽  
Least Square ◽  
Tracking Accuracy ◽  
Control Effect ◽  
Bp Network

Aiming at the problem that traditional PID control algorithm is difficult to get ideal control effect, a PID control algorithm based on improved BP neural network is proposed to improve the performance of turntable system. According to the structure and characteristic of BP neural network, the construction of PID controller and the description of improved BP neural network algorithm are introduced at first. Then, on the basis of the least square method and neural network prediction model of controlled object, the weight adjustment algorithm of PID is improved by replacing the measured values of BP network with calculated forecast output. A mathematical model of turntable control system is established and simulated. Simulation results show that the improved BP neural network PID controller has good control performance, high tracking accuracy and strong system robustness, which can be better applied to turntable system.

Excitation Liquid-Cooled Retarder Control System Design Based on MC9SXS128

2014 ◽  
Vol 525 ◽  
pp. 583-587
Author(s):  
Bing Tu ◽  
Wei Zhang ◽  
Teng Xi Zhan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Good Control ◽  
Control Performance ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Application Requirements

This paper presented a excitation liquid-cooled retarder control system based on a microprocessor MC9SXS128. In order to achieve the constant speed, It used PWM to adjust the output current of excitation liquid-cooled retarder. It analyzed and calculated the inductance value in PWM output circuit and also analyzed the excitation liquid-cooled retarder control systematical mathematical model . It divided the brake stalls based on the current flowing through the field coil. by adding the PID closed-loop control system, the retarder could quickly reach the set speed. It tested the PID control algorithm at the experiments in retarder drum test rig and the results show that the control algorithm has good control performance to meet the application requirements.

Boiler Steam Pressure Control System Based on Fuzzy Control

2012 ◽  
Vol 462 ◽  
pp. 732-737
Author(s):  
Yi Heng Zhou ◽  
Long Yue Yang ◽  
Hai Lin Pu ◽  
Zi Yu Zhao ◽  
Fei Liu ◽  
...  
Keyword(s):  
Control System ◽  
Pid Control ◽  
Good Control ◽  
Pressure Control ◽  
Steam Pressure ◽  
Cascade Control ◽  
Normal Operation ◽  
Control Effect ◽  
Pressure Control System ◽  
Fuzzy Adaptive

Industrial boiler steam pressure is an important measure of boiler normal operation. Since there is delay and inertial part, single-loop PID control is difficult to achieve good dynamic characteristics. By analyzing the characteristics of the steam pressure controlled object, this paper presents a fuzzy adaptive PID control based on the cascade control system. Finally, in order to analyze the effect of the control system, mathematical model was constructed by MATLAB simulation to compare fuzzy adaptive PID cascade control with conventional PID control. The results prove that the former has a good control effect.

Design of the Temperature Control System of the Giant Magnetostrictive Actuator

2012 ◽  
Vol 482-484 ◽  
pp. 2600-2604
Author(s):  
Fan Zeng ◽  
Jing Jun Lou ◽  
Shi Jian Zhu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Temperature Sensor ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Plate Temperature ◽  
Magnetostrictive Actuator

Semiconductor refrigeration plate, temperature sensor, microcontroller STC12C5410AD and other circuits are used to design a new kind of temperature control system of the giant magnetostrictive actuator. Semiconductor refrigeration plate is controlled by the PID control algorithm for temperature controlling automatically.

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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