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    Controller Design for Induction and Brushless Motors Using Matlab with Digital Signal Processor (DSP)
    (LACCEI Inc., 2021-07) Claros Poveda, Bianca Rashell; Castro Castro, Rigoberto
    The automation process is a very important pillar for Industry 4.0. One of the first steps is the control of motors to improve production efficiency and generate energy savings. In mass production industries, techniques such as digital signal processing (DSP) systems are implemented to control motors. These systems are efficient but very expensive for certain applications. From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption. This project presents the design of an adaptive control system for brushless AC induction and DC motors, which is functional to any type of plant in the industry. The design was possible by implementing Matlab software and tools such as digital signal processor (DSP) and Simulink. Through an extensive investigation of the state of the art, three models needed to represent the control system have been specified. The first model for the AC motor, the second for the DC motor and the third for the DSP control; this is done in this way so that the probability of failure is lower. Subsequently, these models have been programmed in Simulink, integrating the three main models into one. In this way, the design of a controller for use in AC induction motors, specifically squirrel cage and brushless DC motors, has been achieved. The final model represents a response time of 0.25 seconds, which is optimal for this type of application, where response times of 2e-3 to 3 seconds are expected.
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    Industry 4.0: current trend and future scope for further research in High Performance Manufacturing
    (LACCEI Inc., 2020-07) Acevedo Amaya, Mario Roberto; Ortega-Jimenez, Cesar Humberto; Dominguez Machuca, Jose Antonio; Alfalla-Luque, Rafaela
    The fourth industrial revolution requires that personalization processes of mass productions evolve towards flexible, interconnected, cloud production with greater automation in its machines and operations, called Industry 4.0 (I4.0). However, a homogeneous I4.0 concept, infrastructure state, and other issues are still scarce, making difficult to determinate in the specialized literature, the threshold between recent manufacturing and challenges that companies had to reach competitive advantage through I4.0 inclusion. Despite becoming one of the most popular strategies for continuous improvement, many plants are struggling to turn I4.0 into a success. Therefore, this paper analyzes the current trends of Industry 4.0 in High Performance Manufacturing (HPM), aiming to consolidate the existing knowledge on both subjects, providing a starting point for academics and practitioners seeking to implement I4.0 in plants and offering suggestions for future examination. This systematic literature review aims to synthesize, organize, and structure the stock of knowledge relating to I4.0 and HPM. The results show that HPM papers do not evidence a holistic evaluation of I.40 principles and foundations. There exists in HPM literature manufacturing practices that permit evaluate technology inclusion and their performance but not their autonomy, cloud computing and network between machines, supplier, and processes. The HPM papers trends are related with issues such as adaptability, flexibility, reconfigurability, new information technologies, modularity, automation, etc. Regarding study limitations, it is necessary to study current I4.0 adoption level, technological infrastructure, and cultural factors. The practical implications are focused in the identification of manufacturing practices used in specialized literature to measure how technology inclusion increase companies’ performance, proving the technological infrastructure and I4.0 maturity level. The originality of this paper converges on the presentation of some manufacturing practices applied on HPM studies which are associated with I4.0.
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    Productivity Improvement for the Manufacture of Disposable Medical Material in a South American Country pointing towards Industry 4.0
    (LACCEI Inc., 2018-09) Stoll Quevedo, Cesar; Cornejo Sanchez, Christian; Atoche Diaz, Wilmer; Rojas Polo, Jonatan Edward
    The manufacture of disposable medical material in a developing country is a labor-intensive manufacturing process. Quality inspections are based on experts’ personal observations, who then decide which products fulfill the required quality. Errors in quality control can have fatal consequences due to the clinical use of the products. Furthermore, we cope with several manufacturing problems that affect demand fulfillment. In this context, we need an efficient production line with reliable quality control processes, i.e. a lean production system, no wastes. Implementing the concepts of Industry 4.0 is therefore recommended for a continuous improvement process in the disposable medical material industry. In the cur-rent research, we introduce automated assembly machines as a first step to establish new standards for production and quality. Furthermore, we analyze the long-term benefits based on the application of automation, lean production and Industry 4.0.