Identification of the flexible actuator of a colonoscope

In recent years, much has been studied on the colonoscope because it is a very important tool for diagnosing colon cancer which is the second leading cause of cancer in the developed countries. During the course of colonoscopy, the colonoscope need to be inserted to the tortuous colon of patients. This is a procedure often painful for the patient and complex for the surgeon. In order to solve this problem, a new flexible actuator of a colonoscope capable of avoiding the injury to the patients has been developed for autonomous colonoscope in our lab. In this paper we mainly deal with the modeling and parameter identification of our flexible actuator in order to design a controller that can automatically detect the contact between the surgical instruments and the intestine. First a mathematical model of the actuator was deduced and linearised from previous research, then a direct identification approach was studied for the continuous-time system, using continuous-time ARX (CARX) model and the Levenberg Marquardt (L-M) algorithm. Finally, the experiment setup and the identification of the parameters of the actuator are described and the results are compared with the data obtained from classical frequency response method. Experimentation has proved the continuous-time method to be very effective for our system identification.

[1]  Rik Pintelon,et al.  Identification of Linear Systems: A Practical Guideline to Accurate Modeling , 1991 .

[2]  Heinz Unbehauen,et al.  Identification of Continuous-Time Systems: A Tutorial , 1997 .

[3]  J. F. Bonnans Optimisation numérique : aspects théoriques et pratiques , 1997 .

[4]  Arianna Menciassi,et al.  Robotics for surgery , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[5]  Guillaume Thomann,et al.  The design of a new type of micro robot for the intestinal inspection , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Rolf Isermann,et al.  Parameter-Adaptive PID-Control Based on Continuous-Time Process Models , 1990 .

[7]  Maurice Betemps,et al.  Design and control of a pneumatic microrobot for in-pipe inspection of nuclear pipes , 2001 .

[8]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[9]  Maria Chiara Carrozza,et al.  A microrobotic system for colonoscopy , 1997, Proceedings of International Conference on Robotics and Automation.

[10]  Peter Young,et al.  Parameter estimation for continuous-time models - A survey , 1979, Autom..

[11]  Rolf Isermann,et al.  Fault diagnosis of machines via parameter estimation and knowledge processing - Tutorial paper , 1991, Autom..

[12]  Leland B. Jackson FIR Filter Design Techniques , 1996 .

[13]  H. Unbehauen,et al.  Identification of continuous systems , 1987 .

[14]  Vijayan K. Asari,et al.  Design of a vision-guided microrobotic colonoscopy system , 2000, Adv. Robotics.

[15]  Kyoung-Dae Kim,et al.  A locomotive mechanism for a robotic colonoscope , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  A. Jutard,et al.  Compliance adjustment of a metal bellows actuator by control law parameters , 2001 .