Integral-augmented state feedback control of a surgical simulator for non-linear friction identification

Abstract

Integral-augmented state feedback control of a surgical simulator, which is intended to evaluate human haptic perception for low level of forces during angioplasty simulation, will be performed to accomplish different test functions of the system, like velocity control to be employed in parameter identification of frictional components of the drive mechanism. The emphasis will be directed to minimizing overall steady-state error of controlled output. System state equations will be established considering different aspects of the availability of building necessary control algorithms, like controllability and observability of the system states. Order reduction of the system differential equations will be applied to be able to create efficient control algorithms. Lastly, integral state augmentation is undertaken to obtain zero steady-state error. Simulation and real system responses will be compared and finally, control algorithm will be used to determine nonlinear friction parameters of the system.