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Design of an FLC technique to Study the Influence of Muscle Model on FES-cycling Performance

تصميم تقنية تحكم تعتمد على المنطق العائم من أجل دراسة أثر نموذج العضلة في أداء قيادة الدراجة عن طريق الإثارة الكهربائية الوظيفية

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 Publication date 2011
and research's language is العربية
 Created by Shamra Editor




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Abstract In this paper, three different muscle models have been investigated. The first model (Ferrarin’s muscle model) is a transfer function between electrical stimulation and the resultant knee torque. The other two muscle models are physiological based (Riener’s muscle model and Virtual Muscle). Riener’s muscle is modelled in this paper by using Matlab/Simulink, while Virtual Muscle model has been built using Virtual Muscle software (Virtual Muscle 4.0.1). A quadriceps is modelled using each of the three models. The three models are tested in terms of their responses to activation and then they are implemented in a fuzzy logic control (FLC) strategy which aims to control the cycling cadence. The performance of the three models during control has been discussed and evaluated. It appears that the type of the muscle model has an influence on the control performance.


Artificial intelligence review:
Research summary
في هذا البحث، تم دراسة ثلاثة نماذج للعضلات الهيكلية وهي نموذج Ferrarin، ونموذج Riener، ونموذج Virtual Muscle. تم استخدام هذه النماذج لمحاكاة استجابة العضلات للإثارة الكهربائية الوظيفية (FES) والتحكم في سرعة دوران مسنن الدراجة. تم تصميم استراتيجية تحكم تعتمد على المنطق العائم للتحكم في سرعة دوران الدراجة باستخدام هذه النماذج. أظهرت النتائج أن نوع نموذج العضلة يؤثر بشكل كبير على أداء التحكم. تم بناء نموذج الجسم البشري والدراجة باستخدام برنامج Visual Nastran، وتم استخدام برنامج Matlab/Simulink لتصميم نظام التحكم. أظهرت الدراسة أن نموذج Riener قدم أداءً أفضل مقارنة بالنماذج الأخرى، حيث قلل من الخطأ في سرعة دوران المسنن وأعطى قيادة أكثر انسيابية للدراجة. كما أظهرت النتائج أن زمن إثارة العضلات يختلف بحسب نوع النموذج المستخدم.
Critical review
دراسة نقدية: على الرغم من الجهود الكبيرة المبذولة في هذا البحث لتطوير نماذج العضلات واستخدامها في التحكم بالإثارة الكهربائية الوظيفية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، لم يتم التطرق بشكل كافٍ إلى تأثير العوامل البيئية والفيزيولوجية الأخرى على أداء العضلات والنماذج المستخدمة. ثانياً، كان من الممكن توسيع نطاق الدراسة لتشمل المزيد من النماذج والتحقق من دقتها في ظروف مختلفة. ثالثاً، على الرغم من أن البحث أظهر أن نموذج Riener هو الأفضل، إلا أن هناك حاجة لمزيد من الدراسات لتأكيد هذه النتائج في تطبيقات واقعية. وأخيراً، كان من الممكن تقديم تحليل أكثر تفصيلاً للبيانات والنتائج لتوضيح الفروقات بين النماذج بشكل أفضل.
Questions related to the research
  1. ما هي النماذج الثلاثة للعضلات التي تم دراستها في البحث؟

    النماذج الثلاثة هي نموذج Ferrarin، ونموذج Riener، ونموذج Virtual Muscle.

  2. ما الهدف من استخدام تقنية التحكم بالمنطق العائم في هذا البحث؟

    الهدف هو التحكم في سرعة دوران مسنن الدراجة باستخدام الإثارة الكهربائية الوظيفية للعضلات.

  3. ما هو البرنامج المستخدم لبناء نموذج الجسم البشري والدراجة؟

    تم استخدام برنامج Visual Nastran لبناء نموذج الجسم البشري والدراجة.

  4. أي نموذج من النماذج الثلاثة أظهر أفضل أداء في الدراسة؟

    نموذج Riener أظهر أفضل أداء في الدراسة، حيث قلل من الخطأ في سرعة دوران المسنن وأعطى قيادة أكثر انسيابية للدراجة.


References used
F. Huxley, “Muscle structure and theories of contraction”, Progress in Biophysics and chemistry, vol. 7, pp 257-318, 1957
V. Hill, “The heat of shortening and the dynamic constants of muscle”. Proceedings of the Royal Society of London, B 126 (843), pp. 136-195, 1938
Y. C. Fung, “Biomechanics, mechanical properties of living tissues”, Springer-verlag, New York, 1981
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