Current sensor fault diagnosis and fault‐tolerant control for single‐phase PWM rectifier based on a hybrid model‐based and data‐driven method

Abstract

In this study, a hybrid model‐based and data‐driven method is proposed for the current sensor fault diagnosis used in single‐phase pulse width modulation (PWM) rectifier. According to the principle of model‐based methods, the proposed diagnostic method is based on signal prediction and residual generation. Differently, instead of a mathematical model, the signal prediction model is developed based on a data‐driven method. Non‐linear autoregressive exogenous learning model, randomised learning technique, and extreme learning machine are utilised to generate the data‐driven prediction model. Once the fault is detected, fault‐tolerant control is activated by substituting the predicted signal for the information of faulty sensors. The offline test shows that the proposed method is able to predict the sensor signal accurately with the root mean square error of 4.276 × 10−5. In addition, hardware‐in‐the‐loop tests are conducted to verify the feasibility and reliability of the proposed method in the real‐time application.

A Fault-Tolerant Soft Sensor Algorithm Based on Long Short-Term Memory Network for Uneven Batch Process

“…In addition, the evaluation thresholds and weighting factors depend on manual assignment. A hybrid model-based and data-driven approach is proposed to diagnose current sensor faults in single-phase pulse-width modulated rectifiers [28]. Most of these methods utilize control feedback loops or redundant backups to correct sensor failures.…”

Fault diagnosis for multiple current sensors in grid‐connected inverter based on average modulation voltage

“…Part A mainly analyzes the composition of the actual current under the multi-current sensor offset faults, and this part establishes the average modulation voltage model on the basis of Part A. (18) can be obtained after discretization of (1), where T s is the sampling period, and i x (g), E x (g), u x (g) are the actual currents the grid voltage and the inverter output phase voltage at g, respectively.…”

“…In [17], Concordia transform is used to transform the three‐phase current into αβ ‐axis, and the slopes of current trajectories are selected as the fault features. In [18], it uses the data‐based method to generate the system model, which effectively solves the shortcoming of the difficult parameter determination in the model‐based diagnosis method, and also has the ability to quickly locate faults. These methods do not need an accurate mathematical model of the system.…”

Reliable current control for single‐phase pulse width modulation rectifiers based on H∞ loop shaping controller

“…In [4], DC bus voltage sensor fault‐tolerant control for single‐phase PWM rectifier is addressed using a reconfigurable control to substitute for the faulty measured values. In [5], a hybrid model‐based and data‐driven method is discussed for sensor fault diagnosis and tolerant control. However, these methods are complex by containing two steps to achieve fault tolerant control; fault diagnosis unit which consists of observer and the fault‐tolerant controller.…”