Earticle

초록

영어

Robotic surgery, computer-assisted surgery, and robotically-assisted surgery are terms for technological developments that use robotic systems to aid in surgical procedures. Robotically-assisted surgery was developed to overcome the limitations of minimally-invasive surgery and to enhance the capabilities of surgeons performing open surgery. In the case of robotically-assisted minimally-invasive surgery, instead of directly moving the instruments, the surgeon uses one of two methods to control the instruments; either a direct telemanipulator or through computer control. A telemanipulator is a remote manipulator that allows the surgeon to perform the normal movements associated with the surgery whilst the robotic arms carry out those movements using end-effectors and manipulators to perform the actual surgery on the patient. In computer-controlled systems the surgeon uses a computer to control the robotic arms and its end-effectors, though these systems can also still use telemanipulators for their input. One advantage of using the computerised method is that the surgeon does not have to be present, but can be anywhere in the world, leading to the possibility for remote surgery. The multi degrees of freedom actuator is an important joint, which has attracted worldwide developing interests for its medical, industry and aerospace applications. This paper addresses the problem of trajectory tracking of three dimensions joint in the presence of model uncertainties and external disturbances. An adaptive fuzzy sliding mode controller (AFLSMC) is proposed to steer a three dimension joint along a desired trajectory precisely. First, the dynamics model of a three dimension joint is formulated and the trajectory tracking problem is described. Second, a sliding mode controller (SMC) is designed to track a time-varying trajectory. The fuzzy logic system (FLS) is employed to approximate the uncertain model of the three dimension joint, with the tracking error and its derivatives and the commanded trajectory and its derivatives as FLS inputs and the approximation of the uncertain model as FLS output. And a fuzzy logic system is also adopted to attenuate the chattering results from the SMC. The control gains are tuned synchronously with the sliding surface according to fuzzy rules, with switching sliding surface as fuzzy logic inputs and control gains as fuzzy logic outputs. The stability and convergence of the closed-loop controller is proven using the Lyapunov stability theorem. Finally, the effectiveness and robustness of the proposed controller are demonstrated via simulation results. Contrasting simulation results indicate that the AFLSMC attenuates the chattering effectively and has better performance against the SMC.

목차

Abstract
 1. Introduction
 2. Theory
  2.1. Spherical Motor
  2.2. Sliding Mode Controller
  2.3. Fuzzy Logic Theory
 3. Propopsed Methodology
  3.1. Design Fuzzy Adaptive Technique
 4. Results and Discussion
 5. Conclusion
 Acknowledgment
 References

키워드

저자

• Mohammad Reza Avazpour [ Intelligent System and Robotic Lab, Iranian Institute of Advance Science and Technology (IRAN SSP), Shiraz/Iran ]
• Farzin Piltan [ Intelligent System and Robotic Lab, Iranian Institute of Advance Science and Technology (IRAN SSP), Shiraz/Iran ]
• Hooton Ghiasi [ Intelligent System and Robotic Lab, Iranian Institute of Advance Science and Technology (IRAN SSP), Shiraz/Iran ]
• Mohammad Hadi Mazloom [ Intelligent System and Robotic Lab, Iranian Institute of Advance Science and Technology (IRAN SSP), Shiraz/Iran ]
• Amirzubir Sahamijoo [ Intelligent System and Robotic Lab, Iranian Institute of Advance Science and Technology (IRAN SSP), Shiraz/Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605