حل مساله سینماتیک مستقیم ربات های کابلی نامقید با استفاده از شبکه عصبی به منظور استفاده همزمان در الگوریتم های کنترلی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد، آزمایشگاه تعامل انسان و ربات، دانشکده علوم و فنون نوین، دانشگاه تهران، تهران، ایران

2 دانشگاه تهران-دانشکده برق و کامپیوتر

3 استادیار، آزمایشگاه تعامل انسان و ربات، دانشکده مهندسی برق و کامپیوتر، دانشگاه تهران، تهران

چکیده

در این مقاله به بحث، بررسی و توسعه الگوریتم طراحی مسیر برای مأموریت تعقیب هدف متحرک پرواز گروهی هواپیماهای بدون سرنشین پرداخته می شود. مطابق با الزامات هواپیمای بدونسرنشین بال ثابت، برای تعقیب هدف متحرک و همچنین مأموریت دوری از موانع در محیطهای پیچیده، الگوریتم جدیدی از ترکیب الگوریتم میدان برداری لیاپانوف با الگوریتم میدان پتانسیل بهبود یافته ارائه می شود. الگوریتم دینامیکی جدید ارائه شده از مزایای الگوریتم پتانسیل بهبود یافته برای دوری از موانع و همچنین از قابلیت الگوریتم میدان برداری لیاپانوف برای تعقیب اهداف متحرک استفاده می نماید. از مزایای این الگوریتم، درلحظه یا برخط بودن و پویایی آن برای تعقیب هدف متحرک و در عین حال دوری از موانع و همچنین قابلیت محاسباتی سریع می باشد که سبب می شود الگوریتم در محیطهای پیچیده به خوبی عمل نماید. در ادامه الگوریتم ارائه شده برای پرواز گروهی هواپیماهای بدون سرنشین طراحی می شود. نتایج ارائه شده به خوبی بیانگر آن است که الگوریتم ترکیبی ارائه شده، قابلیت پیاده سازی در محیطهای پیچیده را دارا می باشد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Solving the Forward Kinematic Problem of Under-Constrained Cable Driven Robots for Online Control Purposes

نویسندگان [English]

  • Ali Aflakiyan 1
  • Nima Karbasizadeh 1
  • Mahdi Tale Masouleh 2
  • Ahmad Kalhor 3
1 Human and Robot Interaction Laboratory, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
2 University of Tehran, School of Electrical and Computer Engineering
3 School of Electrical and Computer Engineering, Human and Robot Interaction Laboratory, University of Tehran, Tehran, Iran
چکیده [English]

In this paper, a method is proposed which allows computing the position of the endeffector based on neural networks approach by taking into account external forces applied to the endeffector. As in under-constrained robots kinematics and statics are intrinsically coupled together, and they simultaneously should be considered, the forward kinematic problem of the robot can be made equivalent to an optimization problem. Solving the optimization problem is time consuming and not suitable for practical purposes. Therefore, in order to solve the forward kinematic problem a SimMechanics model based on the robot geometry and dynamic is designed and presented. By means of this method, the forward kinematic problem is solved offline and is used for online purpose. Moreover, an analysis of workspace is performed which reveals that the solution of the forward kinematic problem of the underconstrained cable robots can be calculated uniquely. By resorting to a neural network method, a position control is performed and the proposed method is validated. The comparison of the operated and desired path is shown for a helical trajectory. Maximum error in the assumed workspace is 0.4 percent. Finally, the proposed method was implemented experimentally and the results confirm the efficiency of the foregoing method.

کلیدواژه‌ها [English]

  • Cable Driven Parallel Robots
  • Under-Constrained Robots
  • Forward kinematic problem
  • neural networks
  • Control
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