Browsing by Author "Moretti, Eric Henrique"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Development of an Iot solution for detergent supervision in industrial washing machinesPublication . Coelho, Gustavo Gonçalves; Moretti, Eric Henrique; Coelho, João PauloAutomation of industrial activities aims to improve the efficiency of the productive processes while reducing costs and increasing safety. In industrial laundries, detergent management is a key factor that can lead to severe economic and environmental impacts if left uncontrolled. This paper documents the solution devised for an integrated detergent control and supervision system based on Internet-of-Things paradigms. This solution follows from a problem put forward by the laundry services of Santa Casa da Misericórdia de Bragança, located in Portugal, to the Polytechnic Institute of Bragança. In order to keep track of the detergent in a centralised dispensing system, a Wi-Fi based measurement system was developed which enables real-time monitoring of the chemical's level. In order to facilitate the physical installation of the developed hardware, a custom-made enclosure was designed and 3D printed. The acquired data is then sent to a database connected to a data processing web-based platform which is responsible for the analytics.
- Digital controller design of an industrial sewing station using evolutionary algorithmPublication . Moretti, Eric HenriqueThe PID controller is one of the most used systems in the industry due to its simplicity and efficiency. However, the main problem to implement this controller is to set the correct gain to get the desired system response. The purpose of this thesis is to get the values of proportional, integral and derivative gain of the controller to obtain an adequate response to an industrial sewing workstation. The sewing station consists of a sewing machine installed into a cart, which is moved by an induction motor guided by a rail. When the user accelerates the sewing machine, the motor must move the car in the speed as the sewing machine sews the fabric. Thereby, the controller needs to send the correct control signal to the motor system, to move the car at the set-point speed. From this system, a mathematical model was obtained, that is used to develop the controller, which will be implemented in a digital microcontroller. The controller was designed using the Genetic Algorithm, using the step response characteristics (e.g. overshoot, rise time, steady-state error) and the control signal to calculate the fitness function. Also was used the Particle Swarm Optimization to compare the results. With the PID gains found as a result of the evolutionary algorithms, that with the better performance was implemented for tests on the company FactoryPlay, which design and produces inflatable structures for theme parks, based on the district of Bragança.
- Digital controller design of an industrial sewing station using evolutionary algorithmsPublication . Moretti, Eric Henrique; Coelho, Gustavo Gonçalves; Coelho, João PauloDevelopment of increasingly efficient production methods is a competiveness driving factor for any company. Today, many of these improvements include the integration of technology-based solutions into processes traditionally operated by humans. In this context, the present work aims to report the controller performance of a prototype developed for semi-automatic sewing stations. This project was fostered by “Factory Play”, a Portuguese company that produces inflatable structures, under the technical supervision of the Polytechnic Institute of Bragança. At the present time, the sewing station travel speed is regulated by an embedded PID controller that has been previously tuned using classical methods. However, even if the overall performance is currently acceptable, additional experiments were made regarding the use of evolutionary based algorithms to attain a better dynamic response and flexibility. This article present the results obtained using those methods where it is possible to confirm that the use of evolutionary algorithm will simplify the design process while consistently leading to a suitable solution.