Neuroadaptive Robust Speed Control for PMSM Servo Drives with Rotor Failure

Omar Aguilar-Mejía,Hertwin Minor-Popocatl,Prudencio Fidel Pacheco-García,Ruben Tapia-Olvera

doi:10.3390/app112311090

Abstract

In this paper, a neuroadaptive robust trajectory tracking controller is utilized to reduce speed ripples of permanent magnet synchronous machine (PMSM) servo drive under the presence of a fracture or fissure in the rotor and external disturbances. The dynamics equations of PMSM servo drive with the presence of a fracture and unknown frictions are described in detail. Due to inherent nonlinearities in PMSM dynamic model, in addition to internal and external disturbances; a traditional PI controller with fixed parameters cannot correctly regulate the PMSM performance under these scenarios. Hence, a neuroadaptive robust controller (NRC) based on a category of on-line trained artificial neural network is used for this purpose to enhance the robustness and adaptive abilities of traditional PI controller. In this paper, the moth-flame optimization algorithm provides the optimal weight parameters of NRC and three PI controllers (off-line) for a PMSM servo drive. The performance of the NRC is evaluated in the presence of a fracture, unknown frictions, and load disturbances, likewise the result outcomes are contrasted with a traditional optimized PID controller and an optimal linear state feedback method.

Highlights

The Permanent Magnet Synchronous Motors (PMSM), have extraordinary efficiency, excellent performance, wide speed range, fast response, great accuracy compact construction, and higher torque per volume ratio
The set of transient responses delivered by the first iteration of the moth-flame optimization algorithm (MFOA), which comply with the parameters established in the algorithm, to find the most optimal parameters of the neuroadaptive robust speed control for PMSM servo drives with rotor failure, are shown in Figure 4 in different colors
Neuroadaptive robust speed control for PMSM servo drives with rotor failure was presented

Summary

Introduction

The Permanent Magnet Synchronous Motors (PMSM), have extraordinary efficiency, excellent performance, wide speed range, fast response, great accuracy compact construction, and higher torque per volume ratio. A detailed analysis of the PMSM modeling with the presence of a fracture in the rotor is carried out, and the procedure to obtain a precise, robust and stable control scheme under different operating conditions, contributing to obtain a more precise mathematical description of the dynamic behavior of the PMSM. Sci. 2021, 11, 11090 trajectory tracking controller for a PMSM with the presence of fissure in the rotor shaft, abrupt changes of load torque disturbance, and unknown frictions; (b) a novel approach is used to simultaneously for adjust multiple parameters of a PMSM control scheme; (c) with the methodology used, the behavior of an adaptive controller with self-tuning capacity is obtained in a practical approach; and (d) with the most optimal search of the PIBSNN parameters, the algorithm learns online, avoiding the use of additional stages for its training.

Dynamic PMSM Model with Presence of Rotor Fissure

Control Strategy

CCoonnvveennttiioonnaall PPII CCoonnttrroller

Overview of Moth-Flame Optimization Algorithm

Findings

Conclusions