Fault Detection Algorithm for Thread Fastening by Robotic Manipulator

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

optimal balancing of a robotic manipulator using genetic algorithm method

optimal balancing is a new approach based on optimal control a which modes, controls and the amount of equilibrium scale are calculated simultaneously. this approach has a significant effect on increasing performance of industrial robots which causes maximum decreasing of energy consumption. despite many applications of robotics such as welding and gluing, the path is predefined , but other unk...

متن کامل

On a Moving Base Robotic Manipulator Dynamics

There are many occasions where the base of a robotic manipulator is attached to a moving platform, such as on a moving ship, terrain or space shuttle. In this paper a dynamic model of a robotic manipulator mounted on a moving base is derived using both Newton-Euler and Lagrange-Euler methods. The presented models are simulated for a Mitsubishi PA10-6CE robotic manipulator characteristics mounte...

متن کامل

Robust Algorithm for Calibration of Robotic Manipulator Model

The paper focuses on the robust identification of geometrical and elastostatic parameters of robotic manipulator. The main attention is paid to the efficiency improvement of the identification algorithm. To increase the identification accuracy, it is proposed to apply the weighted least square technique that employs a new algorithm for assigning of the weighting coefficients. The latter allows ...

متن کامل

Nonlinear Analytical Redundancy for Robotic Fault Detection

In this paper we discuss the application of our recently de-veloped nonlinear analytical redundancy (NLAR) fault detection techniqueto a two-degree of freedom robot manipulator. NLAR extends the tradi-tional linear AR technique to derive the maximum possible number of in-dependent model-based fault detection tests into the continuous nonlineardomain. The ability to handle no...

متن کامل

Fault Detection and Isolation in Robotic Manipulator via Hybrid Neural Networks

Fault diagnosis systems are important for industrial robots, especially those operated in remote and hazardous environment. Faults in robotic manipulator can cause economic and serious damages. So the Robots need the ability to independently as well as effectively detect and tolerate internal failures in order to continue performing their tasks without the need for immediate human intervention....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of the Robotics Society of Japan

سال: 2012

ISSN: 0289-1824,1884-7145

DOI: 10.7210/jrsj.30.804