scholarly journals A software and hardware design scheme of intelligent valve positioner

2021 ◽  
Vol 268 ◽  
pp. 01067
Author(s):  
Haiming Xu ◽  
Lanzhu Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Hardware Design ◽  
Control Process ◽  
Control Valve ◽  
Pneumatic Control ◽  
Design Scheme ◽  
Valve Stem ◽  
Software And Hardware ◽  
Better Than

Valve positioner is the core component of the pneumatic control valve. A new software and hardware design scheme of intelligent valve positioner is presented in this paper. The circuit composition of each part of the intelligent valve positioner is introduced in hardware part. Based on it, a hardware solution to realize HART ‘multi-point’ communication is proposed in this research. In the software design, a novel combined PID control algorithm is proposed to solve the nonlinear problem caused by the friction between the valve stem and the packing during the control process. Simulation results show that the method proposed in this paper is better than traditional PID method and fuzzy PID method. The software and hardware design scheme of the valve positioner proposed in this paper has certain guiding significance for the development of related products.

Application of Improved Fuzzy PID Control Algorithm in Heating Furnace

2011 ◽  
Vol 383-390 ◽  
pp. 760-763
Author(s):  
Hong Jun Wang ◽  
De Xiong Li ◽  
Hui Juan Qi ◽  
Li Na Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Gas Flow ◽  
Control Program ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling And Control ◽  
And Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

e furnace of steel plant is a complex controlled object and it has the properties of nonlinear, Time-varying and delay. Its modeling and control are very difficult. The temperature control of the furnace mainly depends on the control of gas flow. Therefore, the study of a reasonable gas flow control program is the key to increase the level of heating control. In this paper, an improved fuzzy PID control algorithm is proposed, in which, PID control algorithm and fuzzy control algorithm are integrated together, and its characteristics are improved according to feature of furnace. This made the algorithm to have good adaptability and Interference capability. The simulation results show that the improved control algorithm is better than traditional algorithm in overcoming the non-liner, delay of the object and the performance is excellent.

scholarly journals Research on the control system of an amphibious transmission line Inspection UAV based on fuzzy PID control

2018 ◽  
Vol 64 ◽  
pp. 05001
Author(s):  
Shengbiao Lu ◽  
Liangbiao Xia ◽  
ying Shi ◽  
Xiping Han ◽  
Tong Pang ◽  
...  
Keyword(s):  
Transmission Line ◽  
Flight Control ◽  
Pid Control ◽  
Process Design ◽  
Control Algorithm ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Inspection Robot

The amphibious UAV combines the advantages of multi rotor UAV and line inspection robot. It can carry out two working modes: air flight and online driving. It can observe the running state of transmission line and improve the quality of patrol. In this paper, a fuzzy PID control algorithm is proposed to make the amphibious UAV flight control more flexible and close to the transmission line, and the simulation and software control process design are carried out.

Coke Oven Temperature Implicit Generalized Predictive Control

2015 ◽  
Vol 738-739 ◽  
pp. 968-971 ◽  
Author(s):  
Li Zhang ◽  
Cheng Jin Zhang ◽  
Qing Yang Xu ◽  
Zeng Jun Bao
Keyword(s):  
Predictive Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Coke Oven ◽  
Coefficient Matrix ◽  
Generalized Predictive Control ◽  
Simulation Results ◽  
Better Than

According to the characteristic of the coke oven process, the IGPC is applied on it. And an improvement is made on the implicit GPC. Introducing the soft coefficient matrix and making up the control increment decrease the calculation. And also, it can restrain overshoot of the output. Finally, the simulation results confirm that the implicit GPC is better than PID control algorithm.

scholarly journals Módulo didáctico para controlar nivel y caudal de agua, mediante sistema SCADA, PLC y algoritmo PID

2020 ◽  
Vol 4 (2) ◽  
pp. 50
Author(s):  
Andrade Cedeño Rogger
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Level ◽  
Control Valve ◽  
Piping System ◽  
Level Control ◽  
Educational Module ◽  
Scada System ◽  
And Control

  In this project, design and construction of an educational module has been carry out, allowing understand in a practical way, the concepts related to: control system, instrumentation, actuator, programmable logic controller, SCADA system and control algorithm. Module’s principal components are main tank, reserve tank, piping system, fittings, differential pressure transducer, turbine flowmeter, rotameter, control valve, solenoid valves, servovalve, centrifugal pump, PLC and a personal computer (PC). With this, automatic flow and water level control were achieve, through the implementation of a PID control algorithm. In the end, operation tests have been perform, generating changes in set point, and generating disturbances, to observe the response of the process and assess the control system.   Keywords — control system, instrumentation, flow control, level control, PLC, SCADA, PID controller

Intelligent Fuzzy PID Control of Pneumatic Position Servo System

2011 ◽  
Vol 186 ◽  
pp. 100-104
Author(s):  
Jin Yu ◽  
Jian Wei Liu ◽  
Xue Fei Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Process ◽  
Servo System ◽  
Mathematics Model ◽  
Growing Up ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Position Servo ◽  
Technology Control

Pneumatic position servo is a rapidly growing-up technology, control strategy play a key role in system performance. This article studies pneumatic position servo system, through applying the control algorithm of intelligent fuzzy PID, it has settled the difficulties of building precise mathematics model by traditional control methods and the problems of exceeding or lagging in the control process. The experiments show that, the control has achieved the expected results, and has large prospects for application in the area of industry automatization.

Research of Fuzzy Self-Turning PID Control Based on FPGA

2013 ◽  
Vol 273 ◽  
pp. 654-659
Author(s):  
Ya Kun Yu ◽  
Xing Kong
Keyword(s):  
Fuzzy Control ◽  
Design Process ◽  
Pid Control ◽  
Control Algorithm ◽  
Design Method ◽  
Control Process ◽  
Operating Speed ◽  
Modern Agriculture ◽  
Degree Of Membership ◽  
Vhdl Code

This article introduced carries on the fuzzy controller’s design process using the VHDL language, The degree of membership function's memory used the partition memory law to the fuzzy control process, the design method has been simple, raised the operating speed and the precision. with the advantages of fuzzy control theory and the limitations which the PID control algorithm for the traditional application in the modern agriculture, meanwhile designed the fuzzy self-turning PID control algorithm, and then studied and analysis this algorithm deeply, and has given the corresponding VHDL code.

Research on Intelligent Synchronization Control of Erecting System Driven by Two Hydraulic Cylinders

2011 ◽  
Vol 422 ◽  
pp. 167-171 ◽  
Author(s):  
Qin He Gao ◽  
Wen Liang Guan
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Valve ◽  
Synchronization Control ◽  
Loop Control ◽  
Control Approach ◽  
Control Scheme ◽  
Hydraulic Cylinders ◽  
Intelligent Pid ◽  
System Synchronization

The synchronization control problem of a large equipment erecting system driven by two oil cylinders side-by-side is analyzed. A closed loop control scheme of hydraulically driven erecting system based on electro-hydraulic proportion control valve is given. Considering the existence of time-varying parameters of hydraulic system, intelligent PID control algorithm is implemented by adding neurotic adaptive element control approach to improve the adaptive control capacity of the controller. Simulation results show that the intelligent PID control algorithm is more effective than conventional method for the erecting system synchronization control.

Fuzzy PID Parameters Self-Tuning in the Application of the Furnace Temperature Control System

2015 ◽  
Vol 713-715 ◽  
pp. 849-853 ◽  
Author(s):  
Zheng Qiang Guan ◽  
Xiao Ming Luo ◽  
Le Peng Song
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Process ◽  
Temperature Control System ◽  
System Response ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Self Tuning

According to the set temperature, the parameter self-tuning fuzzy PID control algorithm is used furnace temperature automatic control and fuzzy PID control process to make use of the MATLAB simulation. Simulation results show that compared with conventional PID control, the parameter self-tuning fuzzy PID control algorithm improves the system response, shorten the adjusting time, enhances the disruptive, demonstrate the superiority of the fuzzy PID.

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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