Simplified architecture of a neurofuzzy controller applied on industrial systems for fluid flow control

This work presents a simplified architecture of a neurofuzzy controller for general purpose applications that tries to minimize the processing used in the several stages of hazy modeling of systems. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in a private way. The simplified architecture allows a fast and easy configuration of the neurofuzzy controller and the structuring rules that define the control actions is automatic. Th controller's Limits and performance are standardized and the control actions are previously calculated. For application, the industrial systems of fluid flow control will be considered.

FROM FACTORY-FLOOR TO UNIVERSITY

The interaction between industry and university is often discussed. Industry participants feel they do not have enough time to spend with academics because of tight deadlines to achieve your goals. The other hand, professors and his students do not have availability and resources for responding quickly to industry activities. Both sides recognize the associated problems and feel the consequences of various forms. One way to reduce the distance between them is to provide industrial labs that resemble the factory floor at the university. Thus not only students may work on a real technological base, but also the industry's problems can be brought to the university laboratory. To ensure that relevant industrial problems will be studied, the industry needs help in the formulation of the problem being researched. The graduate program of Automation and Control Engineering from UNESP Sorocaba is aimed at training human resources with skills in automation and control activities related to the development of automatic control processes, integrating electronic commands, intelligent manufacturing and industrial robotics. In order to achieve its objectives, one of the pillars of the university consists of a wide range of modern equipments and software for industrial automation, which allows the circuit assembly from most primitive until configuration and programming of a complex system of integrated manufacturing. This paper describes industrial automation equipments and laboratory structure offered to students of Control and Automation Engineering graduate program at UNESP Sorocaba as alternative to close technologies and real problems on the job until academic world. The strategic is to do students understand theory and operations in robotic and industrial automation by means to manipulating real production systems locate at university

IEEE 1451-based multi-interface module (I2M) for industrial processes automation

This paper describes the implementation of a multi-interface module (I2M) for automation of industrial processes, based on the IEEE1451 standard. Process automation with I2M can communicate through either wires or using wireless communication, without any hardware or software changes. We used FPGA resources to implement the I2M functions FPGA, with a NIOS II processor and ZigBee communication system (IEEE802.15), as well as RS232 serial standard. Part of the project was done in the SOPC Builder environment, which gave the designer flexibility and speed to implement the NIOS II-based microprocessor system. To test the I2M implementation, a didactic Industrial Hydraulic Module (MHI-01) was used to simulate two industrial processes to be controlled by the system proposed.

Advances and Developments in Strategies to Improve Strains of Saccharomyces cerevisiae and Processes to Obtain the Lignocellulosic Ethanol-A Review

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modelos de paisagem e susceptibilidade magnética na identificação e caracterização do solo

O conhecimento detalhado do solo e de seus atributos, ao longo da paisagem, é uma demanda permanente dos sistemas urbanos e agroindustriais, para o planejamento sustentável de uso e ocupação. O presente trabalho objetivou estudar o potencial de modelos de paisagem e susceptibilidade magnética na identificação e caracterização de latossolos, em Guariba (SP). Foram coletadas 514 amostras de solo, em 110,0 ha, às profundidades de 0,0-0,20 m e 0,60-0,80 m. Foram identificados diferentes compartimentos de paisagem, com base no modelo de superfície geomórfica e segmento de vertente. em cada compartimento de paisagem, foram abertas trincheiras, para classificação do solo. As amostras foram analisadas quanto à granulometria e atributos químicos, pH (água, CaCl2 e KCl), matéria orgânica, P extraível, K+, Ca2+, Mg2+ e H+ + Al3+. Também foram determinados os teores de SiO2, Al2O3, Fe2O3 e óxidos de Fe livres (Fe d) e pouco cristalizados (Fe o), nas amostras das trincheiras, além da susceptibilidade magnética (SM). Solos taxonomicamente iguais, porém em diferentes compartimentos da paisagem, apresentaram valores distintos, para os atributos estudados, indicando que os modelos de paisagem e a susceptibilidade magnética podem ser viáveis, como técnica de campo, para auxiliar no detalhamento da variação dos atributos do solo. A susceptibilidade magnética demonstrou ter potencial para delimitação das superfícies geomórficas mapeadas no campo, o que indica o seu potencial de uso, na identificação e caracterização de áreas mais homogêneas.

Energy balance optimization of sugarcane crop residual biomass

This work presents a mathematical model for helping mills choose sugarcane varieties for planting. It maximizes crop residual biomass energy balance by considering the difference between generated and consumed energy in the process of transferring this biomass from the field to the processing center; it takes into account enterprise demand restrictions and cane planting area. For this full zero-one linear programming techniques were proposed. The model is viable for choosing sugarcane varieties that would benefit sugarcane production and industrial systems, by reducing crop residue and increasing final energy production. (c) 2006 Published by Elsevier Ltd.

Design of a fuzzy controller with simplified architecture

This work presents the design of a fuzzy controller with simplified architecture. This architecture tries to minimize the time processing used in? the several stages of hazy modeling of systems and processes. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in private way. Therefore, the simplified architecture allows a fast and easy configuration of the fuzzy controller.All rules that define the control actions are determined by inference procedures and the defuzzification is made automatically using a simplified algorithm. The fuzzy controller operation is standardized and the control actions are previously calculated For general-purpose application? ann results, the industrial systems of fluid pow cona ol will be considered.

Infecção por Leptospira spp. e Neospora caninum, em rebanho bovino leiteiro: avaliação dos aspectos produtivos e reprodutivos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Guidelines for the integration of certifiable management systems in industrial companies

Organizations often operate in turbulent environments characterized by intense competitiveness, constant technological progress, new market requirements, and scarce natural resources. This scenario imposes the constant need for change in the operation and companies' management. The integration of certifiable management systems is an effective alternative in this sense. The objective of the present study is to propose guidelines for the integration of the ISO 9001 Quality Management System (QMS), ISO 14001 Environmental Management System (EMS) and OHSAS 18001 Occupational Health and Safety Management System (OHSMS) in industrial companies. These guidelines were developed based on a theoretical framework and on the results from fourteen case studies performed in Brazilian industrial companies. The proposed guidelines were divided into three phases: A) integration planning, b) integration development, and c) integration control and improvement.

Leveraging wireless devices for networked control systems in industrial applications

Networked control systems (NCSs) are distributed control system in which sensors, actuators and controllers are physically separated and connected through communication networks. NCS represent the evolution of networked control architectures providing greater modularity and control decentralization, ease maintenance and diagnosis and lower cost of implementation. A recent trend in this research topic is the development of NCS using wireless networks(WNCS)which enable interoperability between existing wiredand wireless systems. This paper presents the feasibility analysis of using serial to wireless converter as a wireless sensor link in NCS. In order to support this investigation, relevant performance metrics for wireless control applications such as jitter, time delay and messages lost are highlighted and calculated to evaluate the wireless converter capabilities. In addition the control performance of an implemented motor control system using the converter is analyzed. Experimental results led to the conclusion that serial ZigBee device isrecommended against the Bluetooth as it provided better metrics for control applications. However, bothdevices can be used to implement WNCS providing transmission rates and closed control loop times which are acceptable for NCS applications.Moreoverthe use of thewireless device delay in the PID controller discretization can improve the control performance of the system.

Best practices for the implantation of ISO 14001 norms: a study of change management in two industrial companies in the Midwest region of the state of São Paulo - Brazil

Among the difficulties found in the implementation of ISO 14001 systems, resistance to change can always be found. It is mainly a consequence of the hurry to change, loss of focus, concentration of decision making at the level of top management, arbitrary imposition of objectives and results, faulty communication, and the absence of motivational and financial incentive for change.Therefore, the main objective of this paper is to present best practices with respect to the management of organizational change due to the implementation of ISO 14001 norms in two industrial companies in the Midwest region of the State of São Paulo - Brazil. (C) 2008 Elsevier Ltd. All rights reserved.

A novel HPF voltage source rectifier for variable speed refrigeration systems

A novel single-phase voltage source rectifier capable to achieve High-Power-Factor (HPF) for variable speed refrigeration system application, is proposed in this paper. The proposed system is composed by a single-phase high-power-factor boost rectifier, with two cells in interleave connection, operating in critical conduction mode, and employing a soft-switching technique, controlled by a Field Programmable Gate Array (FPGA), associated with a conventional three-phase IGBT bridge inverter (VSI - Voltage Source Inverter), controlled by a Digital Signal Processor (DSP). The soft-switching technique for the input stage is based on zero-current-switching (ZCS) cells. The rectifier's features include the reduction in the input current ripple, the reduction in the output voltage ripple, the use of low stress devices, low volume for the EMI input filter, high input power factor (PF), and low total harmonic distortion (THD) in the input current, in compliance with the EEC61000-3-2 standards. The digital controller for the output stage has been developed using a conventional voltage-frequency control (scalar V/f control), and a simplified stator oriented Vector control, in order to verify the feasibility and performance of the proposed digital controls for continuous temperature control applied at a refrigerator prototype.

Variable-Structure Control Design of Switched Systems With an Application to a DC-DC Power Converter

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function

In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function and the Backpropagation algorithm, as an algorithm to train the network. This methodology allows you to make the prediction at various points in power system, considering different types of consumers (residential, commercial, industrial) of the electric grid, is applied to the problem short-term electric load forecasting (24 hours ahead). We use a database (Centralised Dataset - CDS) provided by the Electricity Commission de New Zealand to this work.

Produtividade e qualidade industrial do arroz de terras altas em função da disponibilidade hídrica e adubação

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)