ABSTRACT. The main focus of this digital control course is the study and evaluation of transfer functions in discrete systems, ensuring their stability through a series of structured activities across different stages. For this purpose, technological tools such as Matlab and Simulink were utilized, facilitating the analysis and development of the project. Among these activities, the dynamic behavior of closed-loop systems was analyzed using a direct current motor configured with the following parameters: Step time: 0, Initial value: 0, Final value: 0.15, and Sample time: 0.02. Subsequently, analytical studies were conducted on various types of controllers, comparing their results using specialized software like Simulink. The project included the design and implementation of digital filters, the development of controllers based on the root locus method, and the configuration of discrete PID controllers. After completing these stages, the acquired concepts were applied to simulate, graph, and analyze the different behaviors of PID responses using Simulink. Throughout the process, various questions arose regarding the design of digital filters and detailed analysis of methods such as the root locus, leading to a comprehensive understanding of discrete PID controllers. In the practical phase, a step response was simulated using specific time intervals: at t=0s, a step with an amplitude of 5 was applied; at t=5s, another step with an amplitude of 10 was introduced; and at t=12s, a step with an amplitude of -4 was implemented. These values were incorporated into Simulink to assess the stability of the control system.

Scientific methods, pivotal for objective knowledge acquisition, are explored in this article across diverse disciplines. Beginning with an overview of their characteristics, the article emphasizes their significance in generating objective knowledge, averting bias, and facilitating result replication. The narrative extends to underscore the role of these methods in cumulative scientific understanding. However, persistent challenges such as funding shortages, regulatory needs, and potential biases are acknowledged, highlighting the nuanced landscape of scientific research.

La Política Fiscal Según John Maynard Keynes Por Brahian Steveen Fierro Suarez