Improved Numerical Simulation for a Novel Adaptive Control Using Fractional Order Derivatives

A novel control technique is investigated in the adaptive control of a typical paradigm, an approximately and partially modeled cart plus double pendulum system. In contrast to the traditional approaches that try to build up ”complete” and ”permanent” system models it develops ”temporal” and ”partial” ones that are valid only in the actual dynamic environment of the system, that is only within some ”spatio-temporal vicinity” of the actual observations. This technique was investigated for various physical systems via ”preliminary” simulations integrating by the simplest 1st order finite element approach for the time domain. In 2004 INRIA issued its SCILAB 3.0 and its improved numerical simulation tool ”Scicos” making it possible to generate ”professional”, ”convenient”, and accurate simulations. The basic principles of the adaptive control, the typical tools available in Scicos, and others developed by the authors, as well as the improved simulation results and conclusions are presented in the contribution.

Teaching accounting and management through business simulation

Everyday accounting and management teachers face the challenge of creating learning environments that motivate students. This chapter describes the Business Simulation (BS) experience that has taken place at the Polytechnic Institute of Porto, Institute of Accounting and Administration (IPP/ISCAP). The chapter presents students’ perceptions about the course and the teaching/learning approach. The results show that pedagogical methods used (competency-oriented), generic competencies (cooperation and group work), and interpersonal skills (organisational and communication skills) are relevant for future accounting professionals. In addition, positive remarks and possible constraints based on observation, staff meetings, and past research are reported. The chapter concludes with some recommendations from the project implementation

Simulation Environment for Multi-Robot Cooperative 3D Target Perception

4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014

Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.

Simulation of masonry out-of-plane failure modes by multi-body dynamics

The seismic assessment of the local failure modes in existing masonry buildings is currently based on the identification of the so-called local mechanisms, often associated with the out-of-plane wall behavior, whose stability is evaluated by static force-based approaches and, more recently, by some displacement-based proposals. Local mechanisms consist of kinematic chains of masonry portions, often regarded as rigid bodies, with geometric nonlinearity and concentrated nonlinearity in predefined contact regions (unilateral no-tension behavior, possible sliding with friction). In this work, the dynamic behavior of local mechanisms is simulated through multi-body dynamics, to obtain the nonlinear response with efficient time history analyses that directly take into account the characteristics of the ground motion. The amplification/filtering effects of the structure are considered within the input motion. The proposed approach is validated with experimental results of two full-scale shaking-table tests on stone masonry buildings: a sacco-stone masonry façade tested at Laboratório Nacional de Engenharia Civil and a two-storey double-leaf masonry building tested at European Centre for Training and Research in Earthquake Engineering (EUCENTRE).

Projeto de uma unidade de produção de biodiesel num reator ultrassónico pela via supercrítica

A concretização deste estágio na INCBIO teve como principal objetivo o projeto e dimensionamento de uma unidade de produção de biodiesel por transesterificação nãocatalítica num reator ultrassónico com condições supercríticas de pressão e temperatura. Com vista à concretização do trabalho, iniciou-se a realização do estudo do estado da arte relativo à produção de biodiesel, com particular enfoque na produção de biodiesel por via catalítica e por via supercrítica e na produção de biodiesel com uso de tecnologia ultrassónica. Conclui-se que nenhum estudo contempla a combinação simultânea da produção de biodiesel por via supercrítica através da tecnologia ultrassónica. Este estudo do estado da arte permitiu ainda definir as condições de temperatura, pressão e rácio mássico (250 °C, 95 bar e 1:1 respetivamente) a considerar no projeto da unidade de produção de biodiesel deste trabalho. Com base no estudo do estado da arte efetuado e com base nas características da matéria procedeu-se à definição do processo de produção de biodiesel. Para a definição do processo começou-se por elaborar o diagrama de blocos do processo (BFD) e o diagrama de fluxo do processo (PFD). Com base nos diagramas e na composição da matéria-prima, procedeu-se à quantificação dos reagentes (metanol) com base na estequiometria das reações envolvidas e ao cálculo do balanço de massa. O balanço de massa foi calculado com base na estequiometria das reações envolvidas e foi também calculado através do software de simulação ASPEN PLUS. Após o cálculo do balanço de massa elaborou-se o diagrama de tubulação e instrumentação (P&ID), que contém todos os equipamentos, válvulas, instrumentação e tubagens existentes na unidade. Após a definição do processo e cálculo do balanço de massa procedeu-se ao dimensionamento mecânico e cálculo hidráulico dos tanques, tubagem, bombas, permutador de calor, reator ultrassónico, válvulas de controlo e instrumentação de acordo com as normas ASME. Nesta fase do trabalho foram consultados diversos fornecedores possíveis para a compra de todo o material necessário. O dimensionamento mecânico e cálculo hidráulico efetuados permitiram, entre outras informações relevantes, obter as dimensões necessárias à construção do layout e à elaboração do desenho 3D. Com os resultados obtidos e desenhos elaborados, é possível avançar com a construção da unidade, pelo que pode-se inferir que o objetivo de projetar uma unidade de produção de biodiesel num reator ultrassónico com condições supercríticas foi alcançado. Por fim, efetuou-se uma análise económica detalhada que possibilita a comparação de uma unidade de produção de biodiesel por via catalítica (unidade de produção da INCBIO) com a unidade de produção de biodiesel num reator ultrassónico com condições supercríticas (unidade projetada neste trabalho). Por questões de confidencialidade, não foram revelados maior parte dos resultados da análise económica efetuada. No entanto, conclui-se que os custos de construção da unidade de produção de biodiesel num reator ultrassónico com condições supercríticas são mais baixos cerca de 35 a 40%, quando comparados com os custos de construção da unidade de produção de biodiesel por via catalítica, evidenciando assim que a combinação em simultâneo das condições supercríticas com a tecnologia ultrassónica possibilita a diminuição dos custos de produção.

Ontologies for the interoperability of multiagent electricity markets simulation platforms

Electricity markets worldwide are complex and dynamic environments with very particular characteristics. These are the result of electricity markets’ restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. The rising complexity and unpredictability in electricity markets has increased the need for the intervenient entities in foreseeing market behaviour. Market players and regulators are very interested in predicting the market’s behaviour. Market players need to understand the market behaviour and operation in order to maximize their profits, while market regulators need to test new rules and detect market inefficiencies before they are implemented. The growth of usage of simulation tools was driven by the need for understanding those mechanisms and how the involved players' interactions affect the markets' outcomes. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. Still, they have a common limitation: the lack of interoperability between the various systems to allow the exchange of information and knowledge, to test different market models and to allow market players from different systems to interact in common market environments. This dissertation proposes the development and implementation of ontologies for semantic interoperability between multi-agent simulation platforms in the scope of electricity markets. The added value provided to these platforms is given by enabling them sharing their knowledge and market models with other agent societies, which provides the means for an actual improvement in current electricity markets studies and development. The proposed ontologies are implemented in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) and tested through the interaction between MASCEM agents and agents from other multi-agent based simulators. The implementation of the proposed ontologies has also required a complete restructuring of MASCEM’s architecture and multi-agent model, which is also presented in this dissertation. The results achieved in the case studies allow identifying the advantages of the novel architecture of MASCEM, and most importantly, the added value of using the proposed ontologies. They facilitate the integration of independent multi-agent simulators, by providing a way for communications to be understood by heterogeneous agents from the various systems.