Adaptive neuro-fuzzy friction compensator in servo hydraulic system

Adaptive Friction Compensation: Modular Design with Passive Identifier

“…Along the solutions of (11), (12), and (13), we have 17) which proves that the equilibrium z; ϵ z ; ; kc À Á ¼ 0 is globally uniformly stable. From the LaSalle-Yoshizawa theorem, it further follows that all the solutions converge to manifold ẑ¼ ϵ z ¼ 0 as t → ∞.…”

“…Due to recent advances in intelligent control, research in friction compensation using intelligent control schemes has appeared in the literature [10][11][12][13][14]. Suraneni et al [10] proposed an adaptive tracking control scheme based on a dynamic fuzzy logic system.…”

“…Due to recent advances in intelligent control, research in friction compensation using intelligent control schemes has appeared in the literature . Suraneni et al .…”

“…The proposed control utilized a PD control structure and an adaptive estimate of the friction force using neural network approximations. A control algorithm based on two neuro‐fuzzy controllers for a hydraulic servo system such that the precompensator neuro‐fuzzy controller is combined with a fuzzy controller was developed in . An adaptive control scheme that uses a high‐order neural network with only a scalar weight can be found in and was developed to approximate unknown nonlinearities and diminish the computational costs dramatically.…”

Two Layer Fuzzy Generalized Maxwell-Slip Compensator in Direct Drive Servo Hydraulic System

“…If the model is slipping: (7) whichFis the elementary frictionforce, is the elementary spring constant, and v isthe velocity:Many researches on servo control had been proposed new control algorithm to eliminated an nonlinearities friction effect in servo system [5][6][7][8].They attempt to compensate with many different models, without resorting to high gain control loops, inherently require a suitable friction model to predict and to compensate for the friction. Cao [9]designed a nonlinear sliding mode fuzzy compensator.…”