Xiao-he Liu

The adaptive fuzzy sliding mode control of hypersonic vehicle

In this paper, the adaptive fuzzy sliding mode control is applied to the hypersonic vehicle. The detailed design procedure of the fuzzy sliding mode control system is presented. The adaptive fuzzy control is utilized to approach the uncertain functions of the hypersonic vehicle and the adaptive law is derived. According to the tracking errors, weighted parameters of the fuzzy system are adjusted on-line to enable the system to approximate the uncertain nonlinear functions effectively. In addition, a robust controller is employed to enhance the performance of the whole system. Simulations results show the proposed controller is robust in the present of the parametric uncertainty and have better dynamic and static performances.

Application of generalized predictive control in electric arc furnace based on T-S model

The generalized predictive control based on T-S fuzzy model is applied to electrode regulator systems of industrial arc furnace in this paper. T-S fuzzy model is constructed for electrode regulator system, and orthogonal least-squares method is used to identify the parameters of fuzzy ruler consequents. Local dynamic linearization is applied to the system at each sampling point. Then control action is gained using generalized predictive control. The results of simulation show that the proposed algorithm can restrain the disturbance of arc length effectively and improve the dynamic performance of the electrode regulator system. The robustness of the system is enhanced.

The robust adaptive control of arc furnace system based on backstepping method

Three-phase arc furnace system as a kind of typical nonlinear, three-phase strong coupling system which has complex and uncertain disturbance, traditional control method such as PID is hard to obtain the good control effect. Robust control is just brought out to deal with system uncertainty, whose research emphasis is to discuss the resistance of the systems certain characteristics or index to some disturbance. This article in view of the electric arc furnace systems nonlinear mathematical model, combining with the feedback linearization output tracking control, designed index robust adaptive control which based on Backstepping method. The simulation results show that: the design of the L2 index robust adaptive controller has better tracking performance and robustness than PID controller. It proves the correctness of the designed algorithm from the hardware point of view. Anti-jamming performance also meets the system control requirements.

Feedback linearization robust control of arc furnace electrode regulator system based on dSPACE simulation

The method of feedback linearization robust control based on dSPACE hardware-in-the-loop simulation for arc furnace electrode regulator system is discussed. With the linear feedback method of differential geometry dealing with non-linear part of electric arc furnace system, the robust controller was designed. Then the hardware-in-the-loop simulation system was built, and several simulations was done. Simulation results show that the feedback linearization robust control has shorter response time and smaller overshoot than the PID control.

Direct adaptive output-feedback fuzzy control of arc furnace

Arc furnace is the typical complex controlled system with three-phase strong coupling, high nonlinearity and uncertainty. The control requirement of arc furnace is also very strict. The direct adaptive output-feedback fuzzy control is presented. It is applied to electrode regulator systems of arc furnace, and the detailed design procedure of the adaptive output-feedback fuzzy control system is given. The state observer is designed to solve the immeasurable state. The adaptive fuzzy control is utilized to approach the uncertain term of output-feedback control. The adaptive law of the fuzzy rulers parameters is derived by Lyapunov function. The results of simulation show that this proposed control can restrain the external disturbances, and obtain much better dynamic and static characteristics.

L 2 Performance Index Robust Control of Arc Furnace Electrode Regulator System

Electric arc furnace electrode regulator system is a strong coupling and strong non-linear system. Nonlinear robust control problem lies in how to solve the HJI inequality, but there is no universal method to obtain the solution of HJI inequality. In this paper, it is given a new nonlinear robust controller design method which based on the exact state feedback linearization, linear robust control theory and L 2 interference suppression performance theory. Then it has made some simulations to prove the tracking control law and robust control law.

Application of indirect adaptive fuzzy control in are furnace

In this paper, the indirect adaptive fuzzy control is presented, and is applied to the electrode regulator systems of arc furnace, it is considered that the states are not available, then the state observer is designed. The adaptive fuzzy control is utilized to approach the uncertain function of plant, and the robust controller is added to the system in order to resist the external disturbances, and then the adaptive law was derived. The results of simulation show that this proposed control can restrain the external disturbances, and obtains much better dynamic and static characteristics.

The adaptive fuzzy control based on backstepping for satellite attitude control

In this paper, the adaptive fuzzy control basd on backstepping is applied to the attitude stabilization of the satellite, and the detailed design procedure of the backstepping control system is presented The adaptive fuzzy control is utilized to approximate the model of controlled object, and then the adaptive luw is derived Simulations results show the proposed control law can resist the perturbation effectively and have better dynamic and static performances.

The direct adaptive fuzzy control for satellite attitude control

In this paper, the direct adaptive fuzzy control is applied to the attitude stabilization control of the satellite. The detailed design procedure of the system is presented. The controller directly acts on the controlled system. The direct adaptive fuzzy controller is designed for the satellite and the parameter adaptive law is obtained. Simulations results show the proposed control law can resist the perturbation effectively and have better dynamic and static performances.

Direct adaptive fuzzy robust control of arc furnace

An adaptive fuzzy robust controller is designed to improve the electrode control of three-phase electric arc furnace electrode regulator system. The design process of robust fuzzy control system is proposed in detail. The impacts of tracking error and approximation error to parameter adaptive law are considered. The approximate error and external disturbances compensate controls are adopted. The simulation results show that this control algorithm has good dynamic response and stable-control accuracy, has a strong robustness for external disturbances and structural parameter uncertainty.