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   Hybrid Concepts of the Control and Anti-Control of Flexible Joint Manipulator  
نویسنده Zamani Pedram Maysam ,Aliyari Shoorehdeli Mahdi ,Farivar Faezeh ,Rostami Kandroodid Mojtaba
منبع international journal of robotics - 2011 - دوره : 2 - شماره : 1 - صفحه:35 -44
فایل تمام متن
چکیده    This paper presents a Gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. The adaptation laws of designed controller are obtained based on sliding mode control methodology without calculating the Jacobian of the flexible joint system. Also in this study, the anti-control is applied to reduce the deflection angle of flexible joint system. To achieve this goal, the chaos dynamic must be created in the flexible joint system. So, the flexible joint system has been synchronized to chaotic gyroscope system. In this study, control and anti-control concepts are applied to achieve the high quality performance of flexible joint system. It is tried to design a controller which is capable to satisfy the control and anti- control aims. The performances of the proposed control are examined in terms of input tracking capability, level of vibration reduction and time response specifications. Finally, the efficacy of the proposed method is validated through experimentation on QUANSER's flexible-joint manipulator.
کلیدواژه Gaussian RBF neural network ,Sliding mode control ,Switching surface ,Anti- control ,Chaos ,Synchronization ,Flexible Joint ,Chaotic Gyroscope
آدرس k.n.toosi university of technology, k.n.toosi university of technology, islamic azad university, university of tehran
پست الکترونیکی m.rostami.k@ece.ut.ac.ir.

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