This paper presents an observer based dynamic fuzzy logic system （DFLS） scheme for a class of unknown single-input single-output （SISO） nonlinear dynamic systems with external disturbances. The proposed approach d...This paper presents an observer based dynamic fuzzy logic system （DFLS） scheme for a class of unknown single-input single-output （SISO） nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H∞ sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms.展开更多
An adaptive sliding mode controller with a disturbance observer(ASMC-DO)is proposed for the control of a single-input and single-output(SISO)servo system which has uncertain parameters,nonlinear friction,disturbance a...An adaptive sliding mode controller with a disturbance observer(ASMC-DO)is proposed for the control of a single-input and single-output(SISO)servo system which has uncertain parameters,nonlinear friction,disturbance and input saturation.It is difficult to choose the suitable value of the parameters.The newly designed adaptive method is used to reduce the effects of system time-varying parameters,such as the moment of inertia and the damp coefficient.The robustness of object is improved.A DO is selected to approximate the compound disturbance and to render the estimate error convergent in finite time.The stability and the convergence of the closed-loop system are proved by using the Lyapunov theory.Experimental results show that the proposed ASMC-DO can better satisfy the influence of variable parameters and external disturbance to the control precision of the SISO servo system than other two controllers.The effectiveness of the proposed controller is showed.The control input stability and robust performances of is reduced.the input saturation system are enhanced and the chattering is reduced.展开更多
文摘This paper presents an observer based dynamic fuzzy logic system （DFLS） scheme for a class of unknown single-input single-output （SISO） nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H∞ sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms.
基金the National Natural Science Foundation of China(No.11472137)the Natural Science Foundation of Jiangsu Province(No.BK20140773)
文摘An adaptive sliding mode controller with a disturbance observer(ASMC-DO)is proposed for the control of a single-input and single-output(SISO)servo system which has uncertain parameters,nonlinear friction,disturbance and input saturation.It is difficult to choose the suitable value of the parameters.The newly designed adaptive method is used to reduce the effects of system time-varying parameters,such as the moment of inertia and the damp coefficient.The robustness of object is improved.A DO is selected to approximate the compound disturbance and to render the estimate error convergent in finite time.The stability and the convergence of the closed-loop system are proved by using the Lyapunov theory.Experimental results show that the proposed ASMC-DO can better satisfy the influence of variable parameters and external disturbance to the control precision of the SISO servo system than other two controllers.The effectiveness of the proposed controller is showed.The control input stability and robust performances of is reduced.the input saturation system are enhanced and the chattering is reduced.
