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Este artículo desarrolla procedimientos de diseño de Servosistemas tipo Proporcional Integral (SS abreviado) para controlar una planta no lineal de doble propósito: el Péndulo Invertido y Grúa ( Pl&G ). Dicha planta se puede describir mediante ecuaciones diferenciales no lineales, donde los términos no lineales complican los aspectos de modelado y de diseño del controlador. Sin embargo, basado en el modelo lineal de la planta, nosotros podemos configurar SSs discretos combinando controladores con observadores no lineales. Resultados experimentales demuestran que cada SS es capaz de estabilizar el PI (o Grúa) montado sobre un carro movido por un servomotor. Tres configuraciones de SSs se presentan y discuten: un Controlador Óptimo Cuadrático de Estado Estable (COCEE) con un Observador de estado Óptimo Cuadrático (OEOC), un Controlador por Ubicación de Polos (CUP) con un Obser...

Este artículo resalta la presencia de una apreciable cantidad de dispositivos y equipamiento involucrados en las tareas de medición, de control y de generación de energías auxiliares dentro de una instalación automatizada. También presenta y discute pautas y recomendaciones encaminadas a la elaboración de un plan de mantenimiento, en donde los recursos humanos y tecnológicos tienen que ser cuidadosamente seleccionados con el propósito de asegurar el éxito de la aplicación de dicho plan. Asimismo, se analizan los costos de mantenimiento en instalaciones convenientemente automatizadas, llegándose a la conclusión de que tales costos disminuyen en gran medida. Un caso real es discutido con el propósito de convalidar los conceptos anteriores.

El presente trabajo de investigación trata sobre el control de trayectoria de un manipulador robótico translacional multivariable de 2 grados de libertad que consta de un móvil accionado por una polea y un eslabón articulado en el CG (centro de gravedad) de dicho móvil. Este proceso será controlado mediante la técnica de control por modo deslizante. La acción de control está orientada a controlar el movimiento translacional del móvil y el movimiento angular del brazo que es libre de girar en ambas direcciones. Las metas impuestas en este trabajo son: diseño, construcción, modelado, implementación y simulación en tiempo real del sistema, controlado con la ley de control por modo deslizante. Los resultados experimentales demuestran que las señales de control diseñadas pueden hacer que las salidas sigan eficientemente a trayectorias de referencia arbitrarias. El sistema del ...

Este artículo presenta el procedimiento de diseño e implementación de un controlador difuso TKS (Takagi-Kosko-Sugeno) que emplea la técnica de sintonía ANFIS (Adaptive Neuro-Fuzzy Inference System). La metodología desarrollada se aplica a un caso clásico de estudio, pero de características particularmente atractivas para poner a prueba cualquier tipo de controlador: el Sistema Péndulo Invertido (SPI). El SPI comprende una varilla unida por uno de sus extremos a un pivote montado sobre un carro que se desplaza en línea recta sobre rieles. El objetivo de control es mantener la varilla en posición vertical mediante una fuerza aplicada al carro. El procedimiento de diseño requiere de: el modelado del SPI, la selección de una estrategia de control según las variables de entrada/salida del modelo, la selección de la estrategia de control conforme a los tipos de lazos de control ...

This paper deals with the implementation of a embedded position control system using a robust nonlinear predictive controller, which is employed to control simultaneously angular positions of the base and arm of an angular manipulator of 2DOF (2 Degrees of Freedom). The design of such control system requires the derivation of the dynamic nonlinear model of the manipulator, as well as the determination of the corresponding predictive control law. Intensive simulation studies permitted to find out the initial values of the tuning parameters of the predictive controller. A CRIO (Compact Reconfigurable Input/Output) device was used to embed the control system. Good performance of the predictive control system was verified via experimentation.

This work implements a MIMO (Multiple Input Multiple Output) FO (Fractional Order) control system for controlling the level and temperature of the water inside a tank by means of two inflow rates: cold and hot water, which are mixed to produce an outflow rate. Such a process exhibits coupling between inputs and outputs. A linear model of the plant is obtained experimentally. Such a model, the transfer matrix function of the plant, is used to design a centralized MIMO IO (Integer Order) controller that permits to achieve complete decoupling between the set points of level and temperature and the corresponding controlled outputs: level and temperature in the tank. The MIMO FO controller is obtained making fractional all de transfer functions of the MIMO IO controller. Experimental results demonstrate that the MIMO FO control system improves the control performance of the plant outputs: lev...

This paper deals with the implementation of two position control systems: FOPID (Fractional Order Proportional Integral Derivative) and FOPD (FO Proportional Derivative), which are employed to control simultaneously angular positions of the base, arm, and forearm of an angular manipulator of 3DOF (3 Degrees of Freedom). Intensive simulation studies, using the dynamic nonlinear model of the angular manipulator as well as the designed control laws, permitted to determine the initial values of the tuning parameters of the FOPD and FOPID controllers for real time implementation. Good performances of the designed control systems were verified via experimentation.

This paper remarks the presence of a great amount of devices and equipment employed in automated processes and power supply plants for measurement and control tasks. Relevant recommendations related with the selection of adequate and convenient human and technological resources, in order to elaborate a maintenance plan that assures its successful application, are also presented and discussed. Further, maintenance costs in automated processes are analyzed and discussed. The conclusion is that such costs tend to be smaller. An application case is discussed in order to validate the recommendations given above.

This research work deals with the real-time implementation of a nonlinear multivariable position control system which uses a sliding mode controller to generate the control forces. Such a control forces will be applied to  translational robot arm of 2 degrees of freedom that consist of a cart mounted on a pair of rails and a link mounted on a pivot point located on the cart. The cart and the link (the arm of the robot) are driven by DC servomotors. Experimentalresults obtained from the designed nonlinear control system will demonstrate that the designed control inputs applied on the servomotors make the outputs (sliding motion of the cart and angular positions of the arm) capable of tracking arbitrary trajectorie.

This article presents the design and implementation procedure of a TKS (Takagi-Kosko-Sugeno) fuzzy controller that uses the ANFIS (Adaptive Neuro-Fuzzy Inference System) tuning technique. The developed methodology is applied to a classic case study, but with particularly attractive characteristics to test any type of controller: the Inverted Pendulum System (INS). The SPI comprises a rod attached at one end to a pivot mounted on a carriage that moves in a straight line on rails. The objectiveControl is to keep the rod in a vertical position by means of a force applied to the carriage. The design procedure requires: modeling the SPI, selecting a control strategy according to the input/output variables of the model, selecting the control strategy according to the types of control loops on the variables, and, the design of the fuzzy controller using ANFIS to optimize its performance. After ...

This article develops design procedures for Proportional Integral Servosystems (abbreviated SS) to control a dual-purpose nonlinear plant: the Inverted Pendulum and Crane (PI&G). Said plant can be described by nonlinear differential equations,where nonlinear terms complicate the modeling and design aspects of the controller.However, based on the linear model of the plant, we can configure discrete SSs by combining controllers with nonlinear observers. Experimental results demonstrate that each SS is capable of stabilizing the PI (or Crane) mounted on a carriage moved by a servomotor. Three configurations of SSs are presented and discussed: an Optimal ControllerSteady State Quadratic (COCEE) with a Quadratic Optimal State Observer (OEOC), a Pole Location Controller (CUP) with a Complete Order State Observer (OEOC), and a CUP with a Minimum Order State Observer (OEOM).

We propose an approach for addressing the challenges and meeting the needs of industrial networking education. The approach is based on using open source resources, key networking technologies, and an experimental framework to revolutionize the way industrial networking ought to be taught at higher learning institutions around the world. Based on the approach a new type of industrial networking course has been designed, developed, and offered with positive outcomes.

En este trabajo se plantea el problema de identificación y seguimiento de trayectoria de sistemas no lineales empleando redes neuronales. Los resultados teóricos se verifican mediante un estudio experimental en el cual el sistema no lineal está conformado por un servomotor DC de imán permanente con reducción que además tiene una varilla acoplada al eje del motor, a manera de un Brazo Robótico de un Grado de Libertad (BRIL), en donde la varilla es capaz de moverse en un plano perpendicular al eje del motor y es controlada por la tensión de armadura aplicada al servomotor.