The Temperature Control of Electric Furnace Based on PID Genetic Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 828-834 ◽  
Author(s):  
Di Lu ◽  
Jian Xin Wang ◽  
Jia Feng Li

The characteristics of Mathematical model for the temperature’s control of resistance-heated furnace are non-linear, strong inertia, time-variant and pure delay. Adaptive genetic algorithm(AGA) was designed by the principle of the traditional PID control system, and dynamically Simulated an industrial furnace control system. Simulation and actual operation results show that using the optimization algorithm has properties of no overshoot, quick response, good robust and the algorithm is simple. It is proved that this control algorithm is a more effective one on improving the temperature’s control of the resistance-heated furnace.

2021 ◽  
Vol 22 (11) ◽  
pp. 601-609
Author(s):  
A. S. Samoylova ◽  
S. A. Vorotnikov

The walking mobile robots (WMR) have recently become widely popular in robotics. They are especially useful in the extreme cases: search and rescue operations; cargo delivery over highly rough terrain; building a map. These robots also serve to explore and describe a partially or completely non-deterministic workspace, as well as to explore areas that are dangerous to human life. One of the main requirements for these WMR is the robustness of its control system. It allows WMR to maintain the operability when the characteristics of the support surface change as well as under more severe conditions, in particular, loss of controllability or damage of the supporting limb (SL). We propose to use the principles of genetic programming to create a WMR control system that allows a robot to adapt to possible changes in its kinematics, as well as to the characteristics of the support surface on which it moves. This approach does not require strong computational power or a strict formal classification of possible damage to the WMR. This article discusses two main WMR control modes: standard, which accord to a serviceable kinematics, and emergency, in which one or more SL drives are damaged or lost controllability. As an example, the structure of the control system of the WMP is proposed, the kinematics of which is partially destroyed in the process of movement. We developed a method for controlling such robot, which is based on the use of a genetic algorithm in conjunction with the Mealy machine. Modeling of modes of movement of WMR with six SL was carried out in the V-REP program for two cases of injury: absent and not functioning limb. We present the results of simulation of emergency gaits for these configurations of WMP and the effectiveness of the proposed method in the case of damage to the kinematic scheme. We also compared the performance of the genetic algorithm for the damaged WMR with the standard control algorithm.


2014 ◽  
Vol 525 ◽  
pp. 583-587
Author(s):  
Bing Tu ◽  
Wei Zhang ◽  
Teng Xi Zhan

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.


Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 770
Author(s):  
Fan Yu ◽  
Quan Wen ◽  
Hongjie Lei ◽  
Liangkun Huang ◽  
Zhiyu Wen

This paper presents a compound control system for precise control of the flame-retardant 4 (FR4)-based electromagnetic scanning micrograting. It mainly consists of a frequency controller and an angle controller. A dual closed-loop structure consisting of a current loop and an angle loop was designed in the angle controller. In addition, the incremental proportional–integral–derivative (PID) control algorithm was designed in the current loop, and the fuzzy-PID control algorithm was employed in the angle loop. From the experimental results, the frequency controller can effectively track the real-time resonant frequency of the scanning micrograting with a tracking accuracy of 0.1 Hz. The overshoot of the scanning micrograting is eliminated. Compared to an open-loop control system, the control system presented in this work reduces the steady-state error of the scanning micrograting from 1.122% to 0.243%. The control accuracy of the compound control system is 0.02°. The anti-interference recovery time of the scanning micrograting was reduced from 550 ms to 181 ms, and the long-term stability was increased from 2.94% to 0.12%. In the compound control system presented in this paper, the crucial parameters of the FR4-based electromagnetic scanning micrograting, including motion accuracy, anti-interference ability, and long-term stability, were effectively improved.


2012 ◽  
Vol 482-484 ◽  
pp. 2600-2604
Author(s):  
Fan Zeng ◽  
Jing Jun Lou ◽  
Shi Jian Zhu

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.


2014 ◽  
Vol 494-495 ◽  
pp. 1246-1248
Author(s):  
Wen Bin Wang ◽  
Dao Yuan Liu ◽  
Yu Qin Yao

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.


2014 ◽  
Vol 532 ◽  
pp. 204-207
Author(s):  
Jiang Zhao ◽  
Wei Ke Fei ◽  
Chong Qing Hao ◽  
Ying Zhang

In order to study the control problem of infrared heating shrinkage machine, i.e. Large delay,nonlinearity of the control system, one type of the basic organization and simulation principle of the hardw-in-the-loop simulation system are presented in the given paper, and the simulation model of infrared heating shrinkage machine is discussed. Aiming to solve the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed. The object can be better online controlled and adjusted after the algorithm has been applied, meanwhile the requirement of accuracy and reliability will be improved, and quite a lot debugging time will be saved.The results show that the system basically satisfies the technical requirements and provides a good experimental platform.The study is provided with great significance for the realization of the semi-physical simulation system.


2011 ◽  
Vol 271-273 ◽  
pp. 983-986
Author(s):  
Ren He Zhen

This article employs single closed loop of voltage negative feedback circle to explore the welding wire sending system of arc welder, as the system of this style has the feature of rough sending and poor dynamic behavior. A double closed loop PWM digit speed adjustment system is proposed based on fussy adaptive-adjusting PID control algorithm. The experiment result indicates that this control system not only has a sound dynamic behavior and static behavior but also has a strong self-adapting behavior, and mostly eliminates the arc flutter made by the rough welding wire sending system.


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