Jesús A. López

Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform

In this work, an algorithm based on the Bacteria Swarm Foraging Optimization was used for the dynamical resource allocation in a multiple input/output experimentation platform. This platform, which mimics a temperature grid plant, is composed of multiple sensors and actuators organized in zones. The use of the bacteria based algorithm in this application allows the search the best actuators in each sample time. This allowed us to obtain a uniform temperature over the platform. Good behavior of the implemented algorithm in the experimentation platform was observed.

Implementation of a distributed control experimentation platform

In this work, we present the implementation of a planar temperature grid plant. This plant emulates the working of a control system that is designed to maintain a constant temperature over a surface. The behavior of the implemented plant presents characteristics difficult to describe in mathematical terms like disturbances, interferences, deviations, and temperature gradients. We describe the functional characteristics of the system and its application in the study of distributed control systems in an educational environment. To test the working of the plant we present the obtained results with two resource allocation strategies such as control algorithms

Ant Colony Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform

In this work, an algorithm based on the ant system was used for the dynamical resource allocation in a multiple input/output experimentation platform. This platform, which mimics a temperature grid plant, is composed of multiple sensors and actuators organized in zones. The use of ants in this application allows to search the best actuator in each sample time. This allowed us to obtain a uniform temperature over the platform. Good behavior of the implemented algorithm in the experimentation platform was observed

Development of an Android App as a learning tool of dynamic systems and automatic control

This work shows the development of an Android app as a tool for learning concepts of automatic control and dynamic systems. For this purpose, an App to simulate a closed loop control for a mass-spring-damper system was implemented for Android devices. In this closed loop control, the plant and the controller can work together in the same device. This operation type is called stand-alone mode. Another option is to simulate in different devices the controller and the plant. This operation type is called remote mode. A fourth-order Runge-Kutta was used as a numerical method for solving the differential equations of the controller and the plant whichever the operation mode is used. The results of the solution of the differential equation were used to visualize the relevant variables of the system at time domain (position of the mass, control action and reference) and to create an animation. The App allows the plant and the controller to be parameterized independently. Besides, the App lets the user generate perturbations to the controlled system using the devices touch screen or its proximity sensor.

Trajectory tracking of the robot end-effector for the minimally invasive surgeries

The surgery technology has been highly investigated, with the purpose to reach an efficient way of working in medicine. Consequently, robots with small tools have been incorporated in many kind of surgeries to reach the following improvements: the patient gets a faster recovery, the surgery is not invasive, and the robot can access to the body occult parts. In this article, an adaptive strategy for the trajectory tracking of the robot end effector is addressed; it consists of a proportional derivative technique plus an adaptive compensation. The proportional derivative technique is employed to reach the trajectory tracking. The adaptive compensation is employed to reach approximation of some unknown dynamics. The robot described in this study is employed in minimally invasive surgeries.

States Estimation in Two Mechanical Systems

In this research, the models and observers in two turbines are studied. Models are used to show the dynamic behavior of the turbines. Observers are employed for the behavior estimation of each state in the turbines models. The proposed strategies are validated by their examples.

Programmable three-phase voltage source controlled by fuzzy logic

In this work a three-phase power supply to emulate voltage disturbances that occur in an electrical network is presented. The type of disturbances that can be generated are voltage drop (voltage sags), over voltage (voltage swell). To maintain the value of the disturbance is necessary to implement a close loop with a control technique on it. Three control schemes were probed in this work: PI, PID and fuzzy control. Simulations show that the tracking properties of the PI, PID and fuzzy control are similar. Using the smoothness of control signal shows that the fuzzy control behaves better.