Implementación de algoritmos de control óptimo estocástico en la nube mediante herramientas de programación IoT para un motor DC

Abstract

In this degree work, the study related to industry 4.0 is presented, it involves new operation and production techniques through the use of intelligent technology. These can solve problems presented by industries, so it is proposed to develop optimal stochastic control algorithms in the cloud for the control of a DC motor, using IoT programming tools. To establish the operating parameters of the plant, the equation of the system was obtained by sampling and estimating data with the help of Matlab software, to later develop the control algorithms starting from the state matrices that originate from the function of transfer; This provides the features for programming the controls in the Node-Red tool with the previous analysis of the MQQT protocol configuration and the Remoteit tool. Ending with the operation comparison of each of the applied control algorithms, through communication tests and response times that can be seen in any smart device through the use of the RemoteRED application, validating the control through the cloud. and allowing to establish the operability of the PID, LQG and LQI controllers. It is highlighted that the controller that has the best performance in this type of plant is the LQI, since it presents a high degree of reliability when subjecting the plant to disturbances. Because it shows a fast-settling time and decreases overshoots in the system control signal.