Model based real-time networked applications for Wireless Sensor Networks

Nastasi, Christian; Pagano, Paolo; Marinoni, Mauro; Lipari, Giuseppe; Focacci, Francesco; Gai, Paolo; Mannori, Simone; Bucher, Roberto

doi:10.1109/percom.2009.4912798

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Adjusting rules used to determine the value of PID controller parameters. The PID controller design parameter for this operation kp=0.91417, Ti = 7 second, TD = 0.28 second, hence the best parameters of PID controller transfer function needed for best operation [15].…”

Section: Mathematical Model Of Esp With Pid Controllermentioning

confidence: 99%

Design and Implementation of Optimal PID Controller Using PLC for Al-Tahady ESP

Afram¹,

Marie²

2020

IJIGSP

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The electrostatic precipitator (ESP) is an extensively used system in metallurgical industries and the generation of power to decrease the release of dust in the flue gas. In the design of the Electrostatic precipitator unit, gas emission uniform distribution is expected to fulfil its best aggregation performance. Programming Logic Controller (PLC) is a controller for industrial process automation and self-monitoring. A lot of industries utilized PLC to automatically control the entire process with less involvement from the human and to evade errors. In this paper, A mathematical model for Electrostatic precipitator from physical parameters and analysis has been developed. The controller is built depending on this model using the basic principle of a well-known A Proportional Integral Derivative (PID) controller to control the high voltage of the Electrostatic precipitator (ESP) by adjusting the opening of voltage and current by applying analogue signals (4-20 mA) from output cards of the PLC. The simulation results paved the way to build a practical system. building the mathematical model by using the Identification Toolbox of MATLAB® Version 9.6. The system was built using Allen Bradley PLC. The effect of control parameters (PID) in the case of voltage or current has been studied to demonstrate the efficiency of the model for the precipitator and observer in the case of the control system for the Al-Tahady ESP. The PID controller was built and the best values for the Electrostatic Precipitator controller are (K P =2.3904, K I =3.5382, K D =0.3). PID controller reduces steady-state errors.

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Section: Mathematical Model Of Esp With Pid Controllermentioning

confidence: 99%

Design and Implementation of Optimal PID Controller Using PLC for Al-Tahady ESP

Afram¹,

Marie²

2020

IJIGSP

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“…6. The parameters of the process model ( first-order plus dead-time) assumes [17], that is Where k is the process gain. The output equation for step input of the excitation amplitude approximation is given by…”

Section: Mathematical Model Of Espmentioning

confidence: 99%

“…The most popular tuning rules due to the Ziegler-Nichols first method. The PID controller design parameter for this operation kp=3.147, Ti = 18, TD = 4.5, hence the best parameters of PID controller transfer function needed for best operation is [17] The closed-loop transfer function of over all system can be formulated as The Bode plot of the designed and simulated system is shown in Fig. 7.…”

Section: Mathematical Model Of Espmentioning

confidence: 99%

Wireless Network Control System for Electro Stati Precipitator in Cement Plants

Ajel¹,

Gaied

Marie

2018

alkej

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Wireless control networks (WCNs), based on distributed control systems of wireless sensor and actuator networks, integrate four technologies: control, computer network and wireless communications. Electrostatic precipitator (ESP) in cement plants reduces the emissions from rotary kiln by 99.8% approximately. It is an important thing to change the existing systems (wireline) to wireless because of dusty and hazardous environments. In this paper, we designed a wireless control system for ESP using Truetime 2 beta 6 simulator, depending on the mathematical model that have been built using identification toolbox of Matlab v7.1.1. We also study the effect ofusing wireless network on performance and stability of the closed loop control system. Simulation results of WCN for ESP show smooth operation with a little bit of perturbation between transient and steady state region.

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