Current sensor fault diagnosis and adaptive fault-tolerant control of PMSM drive system based on differential algebraic method

Abstract

As the key sensor of Electric Vehicle Permanent Magnet Synchronous Machine (PMSM) drive system, the current sensor usually occurs gain and offset fault, and the fault will directly affect the performance and stability of PMSM drive system. Therefore, the inverter nonlinearity dead-time compensation method is first investigated allowing for parasitic capacitor effect, and the proposed method are compared with the traditional dead-time compensation method, moreover, the technical advantages are all validated via experimental results, the fault diagnosis accuracy problem of current sensor caused by the inverter nonlinearity induced offset voltage between inverter reference and output voltage are cleverly solved. Then, the differential algebraic based fault diagnosis method and adaptive fault-tolerant control strategy are presented. An integrated solution of PMSM drive system is innovatively proposed integrated the proposed dead-time compensation method with proposed differential algebraic based fault diagnosis method and adaptive fault-tolerant control strategy together. At last, system simulation and dSPACE based experimental test are implemented to validate the feasibility and effectiveness of proposed integrated solution of PMSM drive system and the conclusions are shown.

Designing Robust Control for Permanent Magnet Synchronous Motor: Fuzzy Based and Multivariable Optimization Approach

“…A S the excellent performance characteristics of PMSM such as high efficiency, superior power density, high torque capability, and excellent controllability, PMSM systems are extensively applied in small and medium power drive fields, such as aerospace, robot, electric vehicle [1], [2]. From the point of view of control, the performance requirements of the PMSM system are generally characterized by the quick dynamic response and precise trajectory tracking (e.g., speed and accuracy).…”

Sliding Mode Observer-Based Current Sensor Fault Reconstruction and Unknown Load Disturbance Estimation for PMSM Driven System

“…An on-line software fault detection, localization and system reconfiguration method is proposed for PMSM based on the monitoring signals of “abc” currents, DC-link voltage and rotor speed/position in [ 7 ]. The current sensor fault diagnosis is presented for the PMSM drive system in [ 8 ] based on the differential algebraic method. However, the unknown load disturbance is not considered for the PMSM drive systems in [ 4 , 5 , 6 , 7 , 8 ].…”

“…The current sensor fault diagnosis is presented for the PMSM drive system in [ 8 ] based on the differential algebraic method. However, the unknown load disturbance is not considered for the PMSM drive systems in [ 4 , 5 , 6 , 7 , 8 ].…”

A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor

“…On the other hand, including much of calculus, the identifying algorithms in some works above are very complex [16,17,[21][22][23][24][25][26][27][28]30]. In this paper, a new open loop approach is proposed to identify initial rotor position of a PMSM with current type driver, which can work well even when a constant load torque is being applied, and the identifying algorithm is very simple and quick.…”

“…Most of these control methods are based on the VC and DTC strategies. The PMSM control system exhibits improved performance when combined with these alternative control methods mentioned above [12][13][14][15][16][17].…”