scholarly journals Designing a PID controller for slab temperature control system

2021 ◽  
Vol 8 (2) ◽  
pp. 001-007
Author(s):  
Kien Ngoc Vu ◽  
Tich Luong Ward ◽  
Nga Thi Thanh Tran ◽  
Tich Luong Ward
Keyword(s):  
Pid Controller ◽  
Heating Furnace ◽  
Temperature Control System ◽  
Polynomial Method ◽  
Transfer Function Model ◽  
Slab Model ◽  
Function Model ◽  
Processing Industry ◽  
Slab Temperature ◽  
Simulation Results

The problem of heating slab is a very important and highly applicable problem in the material processing industry. This paper presents a method to design a PID controller according to the characteristic polynomial method to control the temperature for slab based on the transfer function model. The parameters of the PID controller are determined based on the parameters of the slab model, the heating furnace model, the converter model. The simulation results show that: the PID controller is capable of controlling the temperature of the slab to the desired temperature without over-adjusting.

Inferential Control of Fuel Additive Purity via Reactive Distillation Process

2018 ◽  
Vol 37 ◽  
pp. 127-140 ◽  
Author(s):  
Abdulwahab Giwa ◽  
Edmund Iniyemi Yibo ◽  
Abel Adekanmi Adeyi
Keyword(s):  
Transfer Function ◽  
Mole Fraction ◽  
Pid Controller ◽  
Closed Loop ◽  
Reactive Distillation ◽  
Fuel Additive ◽  
Reflux Ratio ◽  
Transfer Function Model ◽  
Function Model ◽  
Product Temperature

In this work, the control of the mole fraction of a fuel additive being produced in a reactive distillation column has been carried out using proportional-integral-derivative (PID) control. The fuel additive considered in this case was isopropyl alcohol, which was produced from the reaction between propylene and water. To accomplish the work, a ChemCAD model of the process was first developed and simulated to convergence before it was converted to dynamic type from which the dynamic responses of the system were generated and used, with the aid of MATLAB, to develop a transfer function model having the reboiler duty, the reflux ratio and the temperature of the bottom product as the input, the disturbance and the output variables of the process, respectively. The obtained transfer function model was used to develop the open-loop and the closed-loop Simulink models of the process that were also simulated. The closed-loop simulation was carried out with the objective of achieving a fuel additive product with a mole fraction of 0.97, and this was done using a PID controller that was applied inferentially via the product temperature. The results obtained showed that the control of the fuel additive mole fraction could be achieved inferentially, with PID controller tuned with Cohen-Coon and Simulink approaches, using product temperature.

Particle Swarm Optimization of PIλDμ Control of Heating Furnace Temperature Control System

2014 ◽  
Vol 721 ◽  
pp. 205-209
Author(s):  
Pei Guang Wang ◽  
Lian Zhang ◽  
Xiao Ping Zong
Keyword(s):  
Particle Swarm Optimization ◽  
Control System ◽  
Fractional Order ◽  
Temperature Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Heating Furnace ◽  
Temperature Control System ◽  
Swarm Optimization

Due to the complexity of the heat transfer for heating furnace, some characteristics are caused such as big inertia, great lag. In the temperature control system for heating furnace, the traditional PID controller can not get satisfactory effect, that dynamic is instability and control accuracy is bad, which is very detrimental to the system to achieve optimum efficiency. A fractional order PIλDμ controller based on particle swarm optimization method was designed, at the same time compared with PID control. Simulation results show that, fractional order PIλDμ control based on particle swarm optimization has better convergence stability, faster response times and higher accuracy value. Fractional order PIλDμ controller has better dynamic performance, compared with traditional PID controller, greatly improves the quality control system.

scholarly journals Analytical Tuning Rules of I-P Controller For Over Damped Processes with Large Zero Terms In Its Transfer Function Model

2019 ◽  
Vol 9 (1) ◽  
pp. 4640-4644
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Pi Controller ◽  
High Peak ◽  
Industrial Processes ◽  
Transfer Function Model ◽  
Function Model ◽  
Controller Tuning ◽  
Matlab Simulink ◽  
Simulation Results

In this paper, the structure of the P-I controller has been revised to I-P controller structure, for the model of Firstorder plus time delay and model of Half-order plus time delay. PI controller is the dominant controller used for most of the Industrial processes. However, high peak overshoot and sensitivity to controller gains are some of the disadvantages faced by P-I controller . The objective of this study is to overcome these disadvantages, I-P controller has been implemented. Simulation results obtained using MATLAB/simulink shows that the I-P controller tuning approach provides enhanced performance and reduction in the peak overshoot when compared with P-I controller tuning

Research on the Temperature Control System Based on the Pan-Boolean Algebra PID Controller

2011 ◽  
Vol 230-232 ◽  
pp. 1402-1406
Author(s):  
Wei Jiang ◽  
Jiang Lan Li ◽  
Jian Zhang
Keyword(s):  
Control System ◽  
Boolean Algebra ◽  
Temperature Control ◽  
Industrial Production ◽  
Pid Controller ◽  
Control Strategies ◽  
Variable Temperature ◽  
Temperature Control System ◽  
Control Temperature ◽  
Simulation Results

The temperature control system is increasingly playing an important role in industrial production. Recently, lots of research have been investigated for the temperature control system based on various control strategies. The temperature control system based on the Pan-Boolean algebra PID is proposed in this paper. The new algorithm based on the Pan-Boolean algebra PID can improve the performance of the system. Also, it’s fit for the complicated variable temperature control system. The simulation results show that the validity of the proposed strategy is more effective to control temperature.

Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Nur Laela Fitriani ◽  
Pika Silvianti ◽  
Rahma Anisa
Keyword(s):  
Exchange Rate ◽  
Transfer Function ◽  
Multivariate Time Series ◽  
Model Identification ◽  
Transfer Function Model ◽  
Function Model ◽  
Jones Index ◽  
Multiple Input ◽  
Identification Stage ◽  
Stage Estimation

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.

scholarly journals Administrative Costs and Tariff Rates in the Presence of Customs Evasion: Evidence from Ecuador

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 21
Author(s):  
Jazmín González Aguirre ◽  
Alberto Del Villar
Keyword(s):  
International Trade ◽  
Transfer Function ◽  
Gross Domestic Product ◽  
Foreign Trade ◽  
Transfer Function Model ◽  
Administrative Cost ◽  
Function Model ◽  
Administrative Costs ◽  
Tariff Rates ◽  
Budgetary Expenditure

This paper seeks to assess the effectiveness of customs policies in increasing the resources devoted to controlling and inspection. Specifically, it seeks to analyze whether an increase in the administrative cost of collecting taxes on foreign trade in Ecuador contributes to reducing customs fraud. To this end, we identify and estimate a transfer function model (ARIMAX), considering information on foreign trade such as official international trade statistics report and tariff rates, as well as the execution of budgetary expenditure and Ecuador’s gross domestic product (GDP). The period under study includes quarterly series from 2006 to 2018. The results obtained by the model indicate that allocating greater material and budgetary resources to combat customs fraud does not always achieve the objective of reducing customs evasion.

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