ENERGYMODELREDUCTION · Proper Model Generation of Dynamic Systems using an Energy Based Model Reduction
6РП — Действия „Мария Кюри“
- Период
- 2006-01-15 → 2008-01-14
- Финансиране от ЕС
- 80 000 €
- Участници
- 1
- Схема
- IRG
Линиите свързват координатора с партньорите.
Накратко на български
Движенията на ръцете при хора с разсеяна склероза се анализират чрез виртуален тест с поставяне на колчета в дупки. Тези данни помагат за създаването на модели, които да характеризират и оценят точно физическото състояние на пациентите.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Final Activity Report Summary - ENERGYMODELREDUCTION (Proper Model Generation of Dynamic Systems using an Energy Based Model Reduction)
The primary objective of the project was the development of a physical therapy system based on virtual reality for the functional rehabilitation of arms of people with multiple sclerosis (MS). Such a system would consist of symptom-related assessment procedures, such as motor coordination, fatigue, weakness, spasticity and tremor, and of force-therapy scenarios via a haptic interface device. The project results were implemented by means of a commercially available haptic interface device, through which a human could manipulate virtual objects, while gaining tactile and kinesthetic information. The goal of developing a complete rehabilitation system was not attainable given the duration and resources of the project; therefore we focused on the first component of the system that dealt with the characterisation and assessment of arm movement. At the beginning of this work, a focus group was organised in which practicing physiotherapists participated. During the event many new ideas were generated regarding potential haptic interface based exercises and applications and the nine hole peg-board test (NHPT) was selected. Based on the focus group outcome a haptic nine hole peg-board test (H-NHPT) was designed and developed. The H-NHPT was then tested and experiments were performed by people with MS at the Cyprus Institute of Neurology and Genetics. The motion data that was acquired by these experiments helped us to develop models for the arm motions during this exercise. These models provided spatial and temporal information of the movement, which were utilised to characterise and assess the arm motion. The models were necessary for the development of the physical therapy part, which was designed under funding from other sources beyond the project duration.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
The effectiveness of modelling and simulation, which has become a routine practice in science and engineering, is heavily dependent on the availability of comprehensive dynamic system models of appropriate fidelity. A simple model can generate results in short time but with poor accuracy; conversely, a complex model can generate accurate predictions but typically requires long computation times that cannot be tolerated for elaborate optimization studies. An accurate yet sufficiently complex dynamic model can generate responses in a short time by including only the important underlying physics based on the variables of interest. Such a model is termed a proper model" and is defined as the minimal complexity model of a dynamic system, with physically meaningful parameters, which accurately predicts dynamic system outputs.Proper models can be generated by an energy-based model reduction methodology that removes unnecessary complexity from models (linear or nonlinear) without altering the physical meaning of the remaining parameters and variables. Our previous work on such methodology developed the Model Order Reduction Algorithm (MORA), and introduced the Element Activity metric. MORA was originally implemented on automotive systems and produced very promising results in reducing the model complexity and computational cost. However, the methodology requires further developments to address the importance of complexity related with kinematic constraints and output/input-weighted simplifications and to increase computational efficiency. We propose to extend the methodology to overcome these shortcomings. The focus of this project is to aplly the methodology along with the developed extensions to other areas such as mechatronic systems, haptic devices, and fuel cells. At the completion of this work, the available reduction algorithm will be able to generate proper models for complicated systems, which can reduce the analysis and design time of new products."
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITY OF CYPRUS · NICOSIAКоординаторКипър
Връзки
Данни: CORDIS, © Европейски съюз