For characteristics of nonlinearity and time-varying volatility of landing gear based on MR damper, a BP neural network PID controller with a momentum was designed on basis of established dynamic mathematical model. BP neural network would adjust three parameters of PID online in time. The controller was inputted the energy which was combined by the feedback of acceleration and displacement of the control system, which greatly reduced the computation time of controller and the control effect was more obvious. After compared with PID, the simulation and experiment have showed that BP neural network PID has a better effect. The arithmetic can be put into practice through experimental testing.
The sliding mode control problem is investigated for a class of nonlinear systems with the unmatched nonlinearity which satisfies a quadratic constraint. Based on Lyapunov stability theory, utilizing the singular value decomposition method, the sliding mode control is formulated to stabilize the considered systems. Meanwhile, the bounds on the nonlinear term which this type of systems can tolerate without going unstable are maximized. More importantly, an efficient sliding mode control law with tuned parameters is designed to guarantee the state variables to converge to the reference state in finite time and remain onto it in the subsequent time. Finally, simulation results are presented to illustrate the effectiveness of the control strategy.
4BSTR-lCT -This paper presents the use of an RTDS simulator for the verification of HVDC control and protection. For high accurate firing and high frequency requirement, a new approach for an Advanced Hybrid HVDC Red-Time Simulator using classical physical models for the converter section in combination with a complex fully digital AC and DC power system simulator implemented on RTDS is developed. The reilliz:ition rind performance verification of its interface are described in this paper. This hybrid simulator type h a been chosen for Chinese Tian-Gumg HVDC project tests. Based on the testing of HVDC control and protection, the detailed hybrid simulator setup is formulated. Compared with EMTDC research, the control and protection performance is verified and the results are also given.
The sliding mode control problem is investigated for a class of nonlinear systems with the unmatched nonlinearity which satisfies a quadratic constraint. Based on Lyapunov stability theory, utilizing the singular value decomposition method, the sliding mode control is formulated to stabilize the considered systems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.