Abstract

To enhance the control performance of permanent magnet synchronous motors (PMSMs), a generalized predictive control (GPC)-based proportional integral feedforward (PIF) controller is proposed for the speed control system. In this new approach, firstly, based on the online identification of controlled model parameters, a simplified GPC law supplies the PIF controller with suitable control parameters according to the uncertainties in the operating conditions. Secondly, the speed reference curve for PMSMs is usually required to be continuous and continuously differentiable according to the general servo system design requirements, so the adaptation of the speed reference is discussed in details in this paper. Hence, the performance of the speed control system using a GPC-based PIF controller is improved for tracking some specified signals. The main motivation of this paper is the extension of GPC law to replace the traditional PI or PIF controllers in industrial applications. The efficacy and usefulness of the proposed controller are verified through experimental results.

Highlights

  • High-performance servo systems for permanent magnet synchronous motors (PMSMs) are essential in many applications such as precision engineering and industrial automation because of theirSensors 2013, 13 advantages of high efficiency, high power factor and high power density [1,2,3]

  • It is clear that the traditional proportional integral (PI) controller and traditional proportional integral feedforward (PIF) controller both lead to large speed errors and system overshoot in the control process

  • When 0 < t ≤ 3 s, it is clear that traditional PI controller and traditional PIF controller both lead to larger speed errors and system overshoot than those in test 2

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Summary

Introduction

High-performance servo systems for permanent magnet synchronous motors (PMSMs) are essential in many applications such as precision engineering and industrial automation because of their. In real industrial applications, this trajectory may cause a degradation of the closed-loop control performance, but increase the complexity of the GPC law for a PMSM system. Conventional GPC-based PID controllers use the future reference trajectory to obtain control performance as good as that of the GPC law, and have been designed to follow a step-type or a ramp-type reference command [18,22].

Speed Control System of PMSM
Discrete-Time Model and Controller
The design of Adaptive PIF Controller
The Identification of Model Parameters
Performance Prediction
Future Reference Trajectory
Optimal Control Parameters Calculating
Experiment
Test 1 without Applied Load
Test 2 with Applied Load Inertia
Test 3 with Applied Load Torque
Conclusions

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