International Symposium on Advanced Control of Industrial Processes [Conference Reports]

Most industrial processes have computers responsible for managing the production stages, which are the workstations. They monitor and control equipment (frequency inverters, screwdrivers and others) by sending commands via the network. This article shows a communication system between a robotic manipulator and a workstation, Modbus TCP and Advanced Control Language (ACL) protocols, respectively. The devices mentioned do not communicate directly, as the communication protocols are different. Therefore, it is not possible to perform this integration between the equipment, causing a sector of the industrial plant to be inoperative. There are several similar problems in automation systems, so there is the use of the gateway in various processes. It is a technology used in the conversion between protocols, thus being the object of study. The methodology starts with configuring the gateway according to the parameters of the workstation and the robotic manipulator, and then employs the use of the Wireshark® network monitor in order to verify that data sent and received follow the requested specifications.

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Design and Implementation of Model Predictive Control Based PID Controller for Industrial Applications

Energies ◽

10.3390/en13246594 ◽

2020 ◽

Vol 13 (24) ◽

pp. 6594

Author(s):

Ahmed Aboelhassan ◽

M. Abdelgeliel ◽

Ezz Eldin Zakzouk ◽

Michael Galea

Keyword(s):

Control System ◽

Model Predictive Control ◽

Predictive Control ◽

Pid Controller ◽

Mimo System ◽

Industrial Applications ◽

Industrial Processes ◽

Adaptation Mechanism ◽

Advanced Control ◽

Automation Technology

Advanced control approaches are essential for industrial processes to enhance system performance and increase the production rate. Model Predictive Control (MPC) is considered as one of the promising advanced control algorithms. It is suitable for several industrial applications for its ability to handle system constraints. However, it is not widely implemented in the industrial field as most field engineers are not familiar with the advanced techniques conceptual structure, the relation between the parameter settings and control system actions. Conversely, the Proportional Integral Derivative (PID) controller is a common industrial controller known for its simplicity and robustness. Adapting the parameters of the PID considering system constraints is a challenging task. Both controllers, MPC and PID, merged in a hierarchical structure in this work to improve the industrial processes performance considering the operational constraints. The proposed control system is simulated and implemented on a three-tank benchmark system as a Multi-Input Multi-Output (MIMO) system. Since the main industrial goal of the proposed configuration is to be easily implemented using the available automation technology, PID controller is implemented in a PLC (Programable Logic Controller) controller as a lower controller level, while MPC controller and the adaptation mechanism are implemented within a SCADA (Supervisory Control And Data Acquisition) system as a higher controller level.

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