Study of Compound Fuzzy-PID System for Engine Speed Control of PHEV

2012 ◽  
Vol 490-495 ◽  
pp. 613-617
Author(s):  
Huai Gang Zang ◽  
Yan Long Han ◽  
Yan Xia Niu

This paper is a research about the speed adjustment of Parallel Hybrid Electric Vehicle engine under different operating conditions. It seems that the traditional PID controller is powerless owing to nonlinear and time-varying of the engine system. This paper studies coordinated control problems of the engine by using compound fuzzy-PID control method, which greatly reduces the difficulty of the nonlinear system control and improves robustness and real-time of the control system. And dynamic model of PHEV engine is established by using kinetic equations in this paper. Compared with traditional PID and fuzzy system, it proves that compound fuzzy-PID system has a better control performance, which can meet the requirements of quick start of the engine and speed regulation under the three kinds of adjustments of engine idle speed, vehicle acceleration and speed regulation in the process of the drive mode switching.

2012 ◽  
Vol 605-607 ◽  
pp. 1729-1733
Author(s):  
Qing Rui Meng ◽  
Jian Wang ◽  
Shang Fei Lin

The tramcar runs upward and downward frequently and the load varies with practical requirements, the operating conditions of the hydro-viscous winch are very complex, so the ordinary PID controller cannot meet the requirements of the winch. In order to control the speed of the hydro-viscous winch precisely and obtain perfect starting speed, a new fuzzy-PID control system was designed, the starting process of the winch and the speed regulation characteristics were simulated by using MATLAB. The results show that the designed control system can meet the requirements of the winch well. It can not only obtain perfect starting speed, but also adjust the running speed precisely. Research achievements of this work provide theoretical basis for optimal design and practical applications of the hydro-viscous winch.


2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.


2013 ◽  
Vol 391 ◽  
pp. 347-351
Author(s):  
Yu Li Jun ◽  
Shao Ying Liu ◽  
Hui Wang ◽  
Shu Qin

Effective temperature control plays a key role in remote monitoring of wood drying. This paper analysis and design a fuzzy PID control strategy under the monitoring and control system by establishing the mathematical model of wood drying system. It can realize the remote communication by using RS485 and achieve the actual operation of the monitoring system control. By experimental data and the experimental curve, the temperature of the system has good tracking effect which can be verified. It can achieve effective remote monitoring.


2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.


2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.


2011 ◽  
Vol 2-3 ◽  
pp. 489-494
Author(s):  
Zhi Yong Sun ◽  
Wen Lin Chen ◽  
Yun Quan Su ◽  
Li Na Hao

This article is intended to design a static micro-force sensor with a simple structure employing the polymer material PVDF (polyvinylidene fluoride) film as its sensing element, and will carry out some micro-force tracking tests. During the tracking tests, this paper employs a Fuzzy-PID control method and an ordinary PD control method to control the system, and will also analyze the results of them.


2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
E. A. Shushlyapin ◽  
A. E. Bezuglaya

The paper is devoted to several examples of control algorithm development for two-wheeled double-track robot and low-tonnage vessel-catamaran with two Azipods that show practical aspects of the application of one nonlinear system control method — terminal state method. This method, developed by the authors of the present paper, belongs to the class of methods for inverse dynamics problem solving. Mathematical models of control objects in the form of normal systems of third-order nonlinear differential equations for the wheeled robot and seventh-order ones for the vessel are presented. Design formulas of the method in general form for terminal and stabilizing controls are shown. A routine of obtaining calculation expressions for control actions is shown. Results of computer simulation of bringing the robot to a given point in a given time, as well as bringing the vessel to a given course during a “strong” maneuver, are described.


2013 ◽  
Vol 331 ◽  
pp. 263-266
Author(s):  
Yan Qiang Li ◽  
Zhi Gang Yao ◽  
You Lin Xu

In this paper, two types Fuzzy-PID composite control methods were studied. The Fuzzy-PID alternately control and parallel connection control were simulated by MATLAB SIMULINK. The simulation conclusions were that Fuzzy-PID composite control effect was better than FUZZY control or PID control, and Fuzzy-PID parallel connection control effect was better than alternately control on diesel engine speed regulation.


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