M. de Campos

Universidade Federal de Campina Grande (UFCG), Campina Grande, Paraíba, Brazil

Are you M. de Campos?

Claim your profile

Publications (29)1.71 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: The student's interest in some contents usually just occurs when he sees the applications of this knowledge. This usually occurs with contents of power electronics, instrumentation and control. This paper presents the design and development of an individual electric vehicle for urban use. It was built a prototype of a functional urban electric vehicle. For the construction of this prototype used the academic knowledge of the subjects power electronics, microcontrollers, analog and digital control in addition to electromechanical energy conversion. There are six basic types of electric vehicles. In this case was constructed one UEV, fed by electric batteries. How the simplification of mechanical parts in the vehicle are essential, we opted for the use of a structure composed of two motors placed on the front wheels and one rear wheel directional configuration. The project was completed with success. Was built a prototype of a functional urban electric vehicle. It can be affirmed that the vested interest of the student is potentiated when it establishes a connection between the theoretical foundations and practical application.
    2013 Brazilian Power Electronics Conference (COBEP 2013); 10/2013
  • [Show abstract] [Hide abstract]
    ABSTRACT: Growing demand, requirements for power quality enhancement and distribution generation are increasing the complexity of distribution systems. In this scenario, voltage regulation of distribution networks also becomes more complex, especially in long distribution lines. In this paper, a smart distribution transformer is proposed, which employs an electronic on load tap changer with a bidirectional communication system. This system enables automatic voltage regulation, telemetry and remote control for power utilities, allowing its application in Smart Grids.
    2013 Brazilian Power Electronics Conference (COBEP 2013); 10/2013
  • [Show abstract] [Hide abstract]
    ABSTRACT: Smart grid can be defined as a modern electric power grid infrastructure for improved efficiency, reliability and safety, with smooth integration of renewable and alternative energy sources through automated control and modern communications technologies. The increase need for more effective power electrical systems control turned the development of smart grids, the main object of study for many researchers. This paper proposes a digital system for condition monitoring, diagnosis and supervisory control applied to smart grids. The system is based on hybrid network architecture (HNA), consisting of a wired infrastructure, a wireless sensor network (WSN), a power line communications (PLC) and a controller area network (CAN). The system is based on three hardware topologies: remote data acquisition units (RDAUs), intelligent sensors modules (ISMs) and a PLC modem. The basic characteristics are: a) easy/low cost implementation, b) easy to set up by user, c) easy implementation of redundant routines (security), d) portability/versatility, and e) open system. To validate the developed system, it was implanted in one underground electric substation power distribution, characterized as an extremely hostile environment for supervisory control applications. In this application, the main challenge is to establish a communication system installed inside the substation with the outside (operations center-OC) considering that there are not commercial solutions appropriate to solve completely this problem.
    IEEE Transactions on Smart Grid 01/2013; 4(3):1630-1639.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Uninterruptible power supplies are essential in many areas where electricity is necessary. In these systems, static converters require complex designs because they characterize as non-linear systems and require a fast dynamic response of the control system. Fuzzy controllers, in turn, adopt a design methodology that does not require a priori knowledge of the plant, be-ing characterized as adaptive, nonlinear and robust controllers. This article presents the implementation of a PID-Fuzzy control-ler applied in a forward converter inserted in uninterruptible power supplies, considering theoretical and practical aspects. For the simulation and design of the controller gains it was used an optimization algorithm implemented in MATLAB ®. The PID-Fuzzy controller implemented in a digital signal processor compensates for variations in the quiescent point, maintaining the desired characteristics response.
    XIX Congresso Brasilerio de Automática - CBA; 09/2012
  • Source
    EngOpt 2012 – 3 rd International Conference on Engineering Optimization; 07/2012
  • Source
    Paulo S�rgio Sausen, Airam Sausen, Mauricio de Campos
    New Frontiers in Graph Theory, 03/2012; , ISBN: 978-953-51-0115-4
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposes an analysis of the impact of five different synchronization methods on the performance of the compensation currents generated by shunt active filters. The discrete model of shunt active filter is presented considering its implementation in a DSP. Furthermore, two control loops are used to perform the control, an external loop to regulate dc-link voltage that uses a servo system control and an internal loop to control the currents generated by active filter that employs deadbeat robust control. Finally, experimental results obtained from a 3.3kVA prototype are presented, demonstrating the performance of the currents generated by three-phase shunt active filter.
    Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on; 12/2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: The advances in wireless communication, microelectronics, digital electronics, and highly integrated electronics and the increasing need for more efficient controlled electric systems make the development of monitoring and supervisory control tools the object of study of many researchers. This paper proposes a digital system for energy usage evaluation, condition monitoring, diagnosis, and supervisory control for electric systems applying wireless sensor networks (WSNs) with dynamic power management (DPM). The system is based on two hardware topologies responsible for signal acquisition, processing, and transmission: intelligent sensor modules (ISMs) and remote data acquisition units (RDAUs). The gateway function of the wired network is carried out by remote servers (RSs) based on the Soekris architecture, which is responsible for receiving the data collected and transmitting it to the supervisory controller (SC). To extend the WSN lifetime, sensor nodes implement a DPM protocol. The basic characteristics of the presented system are the following: 1) easy implementation; 2) low-cost implementation; 3) easy implementation of redundant routines (security); 4) portability/versatility; and 5) extended network lifetime.
    IEEE Transactions on Instrumentation and Measurement 10/2009; · 1.71 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This work presents an intelligent stand-alone system that is monitoring and analyzing results with the insertion of faults in this system. To fault detection it is used root mean square value combined with neural network. To ensure the fault signature, it was made different harmonic analysis simulations. The results obtained so far indicated that is possible detect the failure in the stand-alone system, so that, improving the repair of this system.
    01/2009;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper analyzes distinct digital sensorless control systems used to regulate and to suppress harmonics on the output voltages of a self-excited squirrel-cage induction generator in isolated systems under nonlinear loads. A normalized discrete model of the inverter operated as static VAr compensator and active power filter are presented considering its implementation in a DSP TMS320F2812. Furthermore, the voltage detection method and the robust deadbeat current control applied to three-wire systems are used. Simulation and experimental results are included to demonstrate the performance of output voltages in the self-excited induction generators.
    01/2009;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper analyzes digital sensorless control systems used to regulate and to suppress harmonics on the output voltages of a self-excited squirrel-cage induction generator in isolated systems under nonlinear loads. A normalized discrete model of the inverter operated as static VAr compensator and active power filter are presented considering its implementation in a DSP TMS320F2812. Furthermore, the voltage detection method and the robust deadbeat current control applied to three-wire systems are used. Simulation and experimental results are included to demonstrate the performance of output voltages in the self-excited induction generators.
    01/2009;
  • [Show abstract] [Hide abstract]
    ABSTRACT: With the latest advances in wireless communication, new monitoring and supervisory control tools have been designed for industrial systems, avoiding unexpected failures and greatly improving system reliability and maintainability. Usually supervisory control for electric systems applies wireless sensor networks (WSN). WSN comprises many sensor nodes each one containing a processing unit, one or more sensors, a power unit, and a radio for data communication. Nodes are power constrained, because they run on batteries, that in many cases cannot be easily replaced. This paper presents the application of Dynamic Power Management with Mode Switching (DPM-MS) technique into Intelligent Sensor Modules (ISMs). Preliminary results showed the potential for improving the battery lifetime by taking advantage of the battery recovery effect when a node transitions to a sleeping state, and mostly when transitions are scheduled after packet transmissions. Performance results show that DPM-MS can provide real battery power recovery without compromising the timeliness of the applications running on the sensor network.
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE; 12/2008
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper analyzes sensorless digital control systems used to regulate the output voltages of a self-excited squirrel-cage induction generator. Different mechanical sensorless synchronization methods are evaluated and their performances are compared under several load conditions, including unbalanced and nonlinear loads. The effect of frequency variations on the performance of the synchronization methods is also investigated. Simulation and experimental results are included to demonstrate the impact of distinct digital control systems on the output voltages distortion and unbalance.
    Power Electronics Specialists Conference, 2008. PESC 2008. IEEE; 07/2008
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: 1. Abstract Hall-effect sensors functioning is based on the tension developed in a conductor when this is submitted simultaneously to an electric current and a magnetic field perpendicular to the direction of the current flow. The tension developed is perpendicular to both variables. The Hall tension is a function of the current density, of the magnetic field strength and of the properties of the conductor (load density and mobility of the carriers). In control systems, hall-effect sensors are used to measure tension, current, displacement, etc. In this work, the variable to be monitored is tension. In the stage of specification of the controller(s), mathematical models are used to simulate the functioning of the plant, so that they meet the desired specifications. Thus, it is necessary that each component of the plant or subsystem possesses optimized representations, so that interferences among components are minimum. This work proposes a discrete model to simulate the interactions of the hall-effect sensor in control system. In order to obtain the input and output data, experiments were carried out using three distinct input signals (square wave, sine wave and PWM), with different frequencies, so as to obtain a general model. The technique used to set the parameters of the model proposed was the Memetic Algorithms. We used the black box model, in which the system content is inferred by processing experimental input and output data statistically. Based on the previous knowledge one has about the sensor model and the experimental input and output data, it is possible to recursively identify the plant. The problem of identification of systems is a matter of optimization, because it estimates the model parameters that minimize the difference between the prediction of the output and the input, at every instant. electric tensions. In this paper was proposed a discreet model to simulate the interactions of the Hall effect sensor in control systems. The structure of the sensor and the discreet models were analyzed used in the simulation of the sensor. To obtaining the input-output data experiments were done experiments with three signals of different input (square wave, sinusoidal wave and PWM), with different frequencies in the attempt of obtaining a general model. The technique used for the obtaining of the parameters of the proposed model was the Memetic Algorithm. The modelling black box was used. In this modelling the content of the system is inferred by statistic process, using experimental data of input-output. Starting from the theoretical knowledge of the sensor and of the experimental data of input-output, it was possible to identify recursively the plant and to obtain the optimal parameters of the sensor model. 4. Hall effect sensor The Hall effect was discovered in 1879 for Edwin Hall.This effect refers to the potential difference (Hall voltage) on the opposite sides of an electrical conductor through which an electric current is flowing, created by a magnetic field applied perpendicular to the current.
    01/2008;
  • [Show abstract] [Hide abstract]
    ABSTRACT: A Wireless Sensor Network (WSN) is a power constrained system, because nodes run on limited power batteries. When a node switches between modes (i.e., transmit, receive, and sleep), there are also changes related to the transition process. Although the switching energy is considered negligible most of the time, it is strongly dependent on the technology (e.g., the radio) deployed on the nodes. Most of the time, the switching energy is neglected to simplify the simulation process. To better understand energy consumption in a WSN, it is necessary to adopt a more realistic battery model. Network simulators usually employ the linear discharge model. This model is simple, but far from reality, leading to wrong conclusions like, for example, that switching energy necessarily implies on energy consumption. Getting a more accurate measure for the energy consumption of a sensor network may lead to better estimates for the network lifetime. To better understand the impact of a more realistic battery model on the simulation of a WSN, we compare the results for blind flooding using the standard battery model (i.e., linear model) to the results obtained using the Rakhmatov-Vrudhula battery model which captures the non-linear battery behavior.
    Seventh International Conference on Networking (ICN 2008), 13-18 April 2008, Cancun, Mexico; 01/2008
  • 01/2008;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Condition monitoring and diagnosis of industrial systems avoids unexpected failures and greatly improves system reliability and maintainability. Advances in wireless communication, microelectronics, digital electronics and highly integrated electronics in addition to the increasingly need for more efficient controlled electric systems, makes the development of monitoring and supervisory control tools object of study of many researchers. This paper proposes a digital system for energy usage evaluation, condition monitoring, diagnosis and supervisory control for electric systems applying wireless sensor networks (WSNs) connected to a wired infrastructure. The system is based on two hardware topologies responsible for the signal acquisition, processing and transmission: Intelligent Sensors Modules (ISMs) and Remote Data Acquisition Units (RDAUs). The gateway function of the wired network is carried out by Remote Servers (RSs) based on the AMD-Soekris NET4521 architecture, responsible for receiving the data collected and transmitting it to the Supervisory Controller (SCs) based on a PC Pentium IV architecture. The basic characteristics of the presented system are: (a) easy implementation, (b) low cost implementation, (c) easy implementation of redundant routines (security), and (d) portability/versatility.
    Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on; 11/2007
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this work, the state observer problem of multivariable systems, using optimal discrete-time complete order state observer applied to high performance Asynchronous Machine drive systems is considered. Due to the computational time to discretize the model, the procedure is carried off-line, resulting in a discrete model with only algebraic relations. The feedback matrix (gains) is also calculated off-line, using an optimal control law. The gains are calculated for some machine frequencies, resulting in some matrix gains operating in scheduled form (gain scheduling). Note that multiple gain matrix solutions exist. This variety can be used to provide robust properties for the closed loop system and should make the system insensitive to perturbations.
    01/2006;
  • [Show abstract] [Hide abstract]
    ABSTRACT: The development, which took place in the digital electronics and telecommunications fields, among others, in addition to the necessity of a more effective control upon the electrical systems, more specifically, the energy substations, turned the development of supervisory control tools the main study object of many researchers. A project was presented to the Electrical Sector Technological Development and Research Program, aiming the development of a Substations Automation System. This on going project, supported by CEEE - Electrical Energy State Company, Rio Grande do Sul State, Brazil, exists since 2002. We present what has already been concluded in terms of data acquisition and transmission. Future works are going to present the Person-Machine Interface development, security procedures implementation as well as the actuation system and the realized tests including the whole system.
    Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on; 09/2003
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper discusses, by estimation, to obtain the nuclei characteristic parameters of MEMS micro-rotors. Mass, damping, and elasticity coefficient are obtained by ARX model and the estimators batch: LS and IV. The results motivate to apply other models available in discrete parametric system identification.