Research On Iterative Learning Control For Permanent Magnet Linear Synchronous Motors

In factory automation, especially in industries robots and machinetools, permanent magnet synchronous linear motors (PMSLM) have beenan attractive choice because of its high reliability, high actuates force, highefficiency and long move distance. Iterative Learning Control (ILC),which is well used in system with a naturally repetitive action, has becamea hotspot in intelligent control for the reason of its simple arithmetic, andeffective control. In this thesis, ILC algorithm is studied and used incontrolling PMSLM. Furthermore, the marriages of ILC and Sliding ModeControl(SMC),Radial Basis Function(RBF) are used to control PMSLM.First, based on the Simulink/Matlab, a general simulation model ofPMLSM controlled by SPWM vector current sluggish tracking isestablished with block diagram through particular analysis and research ofPMLSM and its vector control principles. Then the following three parts ofthe article are: Position control for PMLPM using ILC. The conventionalfeedback PID control is combined with feedforward ILC, the formal onestabilizes the PMLSM system, while the later enhances the trajectories tracking performance by capitalizing on the experience gained from therepeated execution of the same operations; Position control for PMLSMusing SMC plug ILC. SMC has the ability of stabilizing and faster thesystem. System can be better under the control of SMC plug ILC;Reference adjustment for PMLSM under the control of ILC and RBF. Thisnew scheme can progress the system. The simulation researches andresults which show at the end of each chapter, show the validity of thecontrol strategies that designed in this paper. At last, a summary of thethesis and a view of the future are given.