Research On Networked Linear Switched Reluctance Motor Motion Control System

With the rapid development of technology and the complexity of production,the initial control system and network technology combined,resulting in a networked control system(Networked Control System,NCS).NCS is a type of closed-loop feedback control system,in which the communication network is employed to transmit information and control signals(sensors,controllers,actuators,etc.)between components(reference input,plant output,control input,etc.).NCS has many advantages,such as resource sharing,simple structure,low cost,simple installation,and less maintenance,which make NCS applications in a broad range of areas such as aerospace,transportation,industrial field,telemedicine and robot.However,there are still many problems in NCS,such as time delays,packet dropouts,packet reordering and limited bandwidth,which makes NCS modeling,analysis and design becomes very complex.In this paper,the linear switched reluctance motor is used as the controlled object to combine NCS with the linear switched reluctance motor motion control system to establish a networked linear switched reluctance motor motion control system to study the time delays and other issues.The main contents of this paper are as follows:Firstly,the basic problems in the NCS are investigated.Secondly,the mathematical model of linear switched reluctance motor is established.Finally,the status quo of domestic and foreign research on networked linear switched reluctance motor motion control system is summarized.Aiming at the positioning control for the networked linear switched reluctance motor with networked-induced sensor-to-controller time delays.The motor parameters are obtained by online system identification method.The LSRM over communication network is modeled as a Markov time-delay system.The stability conditions and the positioning controller design method for the LSRM are obtained by using Lyapunov theory and inequality technique.The experimental tests are presented to verify the effectiveness and practicability of the proposed positioning control method for the networked LSRM.Focusing on the H? state feedback control method for networked control systems and its application to the discrete-time direct-drive linear motion control system over a communication network with external disturbances and network-induced random time delay.The unavoidable networked-induced random delay is modeled by a Markov chain with the uncertain transition probability.To tackle the external disturbances in the LSRM,an H? control strategy is designed by using Lyapunov stability theory and linear matrix inequalities technique.A mode-dependent state feedback H? controller is designed for the close-loop discrete-time direct-drive linear motion control system over a network.The experimental tests on the networked LSRM system are presented to verify the effectiveness and practicability of the proposed H? control method.Investigating the collaborative tracking control for dual linear switched reluctance motors over a communication network with random time delays.Considering the spatio-temporal constraint relationship of the dual LSRMs,the collaborative tracking control scheme is proposed based on the networked motion control method.The stability conditions and the controller design method for the networked dual LSRMs are obtained by using Lyapunov theory and delay systems approach.The experimental tests on networked LSRMs system are present to validate the effectiveness of the proposed method.