Adaptive Position Control of Permanent Magnet Synchronous Motor Drives using Neural Networks
نویسندگان
چکیده
A method is presented for position control of a permanent magnet synchronous motor (PMSM). First a linear descretized state-space model of a PMSM with unknown parameters is identified; the identified model is then controlled using state feedback with integrator techniques. The simulation results of a typical motor are obtained and the influence of pole placement, noise and load variations is studied. Finally, simulation results are confirmed with experimental results.
منابع مشابه
Design and Implementation of a High-Precision Position Controller for Permanent Magnet Synchronous Motor Based on a New Gain Scheduling Approach
The direct drive permanent magnet synchronous motor (DD-PMSM) is a suitable choice for high-precision position control applications. Among various control methods of this motor, the vector control approaches especially the field oriented control has a high-performance in the industrial drives. In this method, the components of stator current are controlled independently and as a result, the tor...
متن کاملPerformance Improvement of Direct Torque Controlled Interior Permanent Magnet Synchronous Motor Drives Using Artificial Intelligence
The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...
متن کاملAdaptive and intelligent control of permanent magnet synchronous motor (PMSM) using a combination of fuzzy logic and gray wolf algorithm under fault condition
Nowadays, permanent magnet synchronous motors have been widely used in industry due to the elimination of excitation losses, longer life and higher efficiency. Errors in engine and drive systems are unavoidable during operation. Therefore, a suitable scenario should be considered for when these systems fail. If the necessary predictions and control algorithms are not considered for the error co...
متن کاملAdaptive Voltage-based Control of Direct-drive Robots Driven by Permanent Magnet Synchronous Motors
Tracking control of the direct-drive robot manipulators in high-speed is a challenging problem. The Coriolis and centrifugal torques become dominant in the high-speed motion control. The dynamical model of the robotic system including the robot manipulator and actuators is highly nonlinear, heavily coupled, uncertain and computationally extensive in non-companion form. In order to overcome thes...
متن کاملPosition Control Improvement of Permanent Magnet Motor Using Model Predictive Control
Fast and accurate transient response is the main requirement in electric machine position control. Conventional cascade control structure has sluggish response due to the limitation of inner control loop bandwidth. In this paper, in order to decrease the Permanent Magnet Synchronous Motor (PMSM) transient response time it can be used reference model using feed-forward signals. In this structure...
متن کامل