Induction machines are widely used in the industry due to their many advantages compared to other industrial machines. This article presents the study and implementation of speed control applied to a Three-phase Induction Machine (MIT) of the squirrel cage type. The induction motor was modeled using the rotor flux in the synchronous reference to design Proportional-Integral (PI) type controllers for the current and velocity control loops. It is the objective of the article also to present in detail the development of converter hardware that comprises the stages of power, acquisition, and conditioning of engine signals. The system was simulated using computational tools and validated using a prototype designed, constructed, and commissioned.

This paper aims the planning, construction and modeling of a low-cost multivariable level plant for didactic purposes. The developed model has two pumps that feed four tanks coupled to each other. Between the tanks and the pumps, there are inlet and outlet valves that can change the system dynamics according to its opening configuration. To automate the pumps and read the instrumentation used, the Arduino microcontroller was chosen because it is a model of great use in the academic environment and of easy parameterization. For sensing, the HC-SR04 ultrasonic sensor was chosen, which already has native compatibility with the microcontroller. In order to validate the constructed plant, it was necessary to identify its model, using the empirical step response method for this purpose. In this way, this work has both qualitative and quantitative characteristics, since the planning and construction of the didactic plant involved an exploratory research of the problem, and then the modeling and simulation method was applied to obtain the mathematical model of the plant. Finally, an experimental research was conducted, comparing the data obtained in the real plant with the model data for validation. Having completed all research stages, the work result is a didactic plant with good linearity, able to provide implementation of level control strategies of coupled tanks and to assist in teaching and learning subjects that involve concepts of dynamic systems, besides multivariable systems identification and control.

This work aims to use ESP32 and ESP8266 microprocessors with built-in Wi-Fi modules to activate the digital inputs of a PLC via the Web, in addition to sending the command signal via wireless network to the respective actuators of the system. A local wireless network is created to allow control of inputs via a browser on a cell phone or computers, such as allowing the exchange of information between the controller and its actuators. To test the functionality of the proposed prototype, a three-phase motor was started using the browser of a cell phone connected to the ESP32 Wi-Fi network.

The present work consists of carrying out the identification and implementation of a predictive controller in a thermal system to follow a didactic design methodology for learning in systems identification, analysis, and controller design. For the identification of the thermal system, the method of least squares was chosen because it allows to obtain a faithful mathematical model that describes the temperature system. The data used in the system identification step are from a didactic industrial plant of a temperature system. From the model obtained for the system in question, the design and implementation of a classic Proportional Integral Derivative (PID) controller and a predictive controller are carried out to verify the behavior of the system against the actions of both controllers. The entire implementation will be carried out in the MATLAB/Simulink computer simulation environment.

The purpose of the work is the use of the Level Control scene of the Factory I/O software for level and flow control, as well as the realization of communication with the CodeSys software for the development of an automation and the creation of a Human Machine Interface (HMI), in a LabVIEW environment, which allows decision-making, monitoring and acquisition of level plant data in real time. For this, a virtual environment will be set up in charge of controlling the level of a tank using the PID controller, responsible for keeping the tank level close to the value defined in the setpoint. The controller regulates the liquid flow that will be maintained by the filling valve. Therefore, this work presents the study and literary review of control techniques, identification, automation of industrial processes and HMI development, as well as the methodology, objectives and results of the work.