In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification,...In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of a triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.展开更多
This paper presents the development of a classical and intelligent control approaches applied to a flexible single-link manipulator robot and compared in terms of input tracking and vibration suppression. Lagrange＇s ...This paper presents the development of a classical and intelligent control approaches applied to a flexible single-link manipulator robot and compared in terms of input tracking and vibration suppression. Lagrange＇s equations and finite elements method are combined to compute dynamic model of a flexible link manipulator with one rigid joint. Next, dynamics are itemized to explain flexible link behavior. Then a fuzzy supervisory controller is developed and introduced in the high level of the closed-loop of the flexible manipulator. A generalized predictive controller is then developed and introduced in the flexible system closed-loop to minimize end-point residual vibrations. Simulation results obtained are compared to a GPC （generalized predictive controller） in terms of end-point vibration suppression, input tracking and disturbance rejection. A conclusion encloses the paper.展开更多
In this paper, a novel adaptive fuzzy control scheme is presented . The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification...In this paper, a novel adaptive fuzzy control scheme is presented . The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.展开更多
文摘In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of a triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.
文摘This paper presents the development of a classical and intelligent control approaches applied to a flexible single-link manipulator robot and compared in terms of input tracking and vibration suppression. Lagrange＇s equations and finite elements method are combined to compute dynamic model of a flexible link manipulator with one rigid joint. Next, dynamics are itemized to explain flexible link behavior. Then a fuzzy supervisory controller is developed and introduced in the high level of the closed-loop of the flexible manipulator. A generalized predictive controller is then developed and introduced in the flexible system closed-loop to minimize end-point residual vibrations. Simulation results obtained are compared to a GPC （generalized predictive controller） in terms of end-point vibration suppression, input tracking and disturbance rejection. A conclusion encloses the paper.
文摘In this paper, a novel adaptive fuzzy control scheme is presented . The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.
