The aim of this study is to determine the electromagnetic field spatial distribution and longitudinal end effect characteristics short primary linear induction motor (SPLIM) in launch. First, accordance model assumption SPLIM one-dimensional theory, analytical expression whole-region magnetic flux density air-gap derived using boundary conditions line with actual physical meaning. Second, finit...

With the rapid development of network communication technology and computer technology, control system has been applied in many different fields. Networked AC induction motor is controlled by a to realize data transmission. This paper mainly studies nonlinear based on system. In order solve problem motor, this adopts method linear resolve coupling, combined with characteristics Internet, establ...

The sensorless model predictive force control (SMPFC) is a strong method for controlling the drives of three-phase 4(6)-switch inverter linear induction motors. This kind of inverter can be employed for fault tolerant control in order to solve the problem of open/short circuit in 6-switch inverters (B6). This paper proposed a method for the SMPFC of a linear induction motor (LIM) with a 4-switc...

The application of the 3 phase induction motor is increasingly developing, this has led to research on speed regulation motors also growing, because use in industry and especially hybrid vehicles being developed. However, there are several disadvantages an motor, one which non-linear parameter characteristics, rotor resistance, varies value for different operating conditions, so that it cannot ...

in this work, we present a new strategy of direct adaptive control denoted: Extended minimal controller synthesis (EMCS). This algorithm is designed for an induction motor, which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The main motivation of the EMCS control is to enhance the robustness of the MRAC algorithms, i.e. the rejection of bou...

Abstract: Generalized predictive control (GPC) is nowadays, widely ,spread in control theory as well as in the industrial world. Generalized predictive control (GPC) belong to this family has been demonstrated as a powerful controlling process plants, In this work a polynomial approach of generalized predictive control is proposed whose aim to find optimal values for the tuning control and appl...