Metody řízení střídavých regulovaných pohonů s odolností vůči poruchám snímačů veličin

Abstract

This dissertation focuses on the design and implementation of control methods for AC electric drives with an induction motor that are tolerant to sensor faults (Sensor Fault-Tolerant Control - SFTC). Sensor faults can lead to control degradation, complete control failure, or instability. The work is specifically focused on faults of current and speed sensors.

The dissertation first reviews the state of the art in SFTC and analyzes existing methods for fault detection, isolation, and compensation. Subsequently, three active SFTC algorithms are proposed for Direct Field-Oriented Control of induction drives with two current sensors. The algorithms employ different approaches to fault detection, including an improved TDO combined with speed residuals, comparison of current vectors, and the use of rotor flux estimators supplemented with current and speed residuals. Compensation is achieved by replacing faulty measured quantities with estimated values obtained from a current estimator and a modified CB-MRAS.

The proposed methods were validated through extensive simulation tests in MATLAB Simulink and subsequently implemented on a microcontroller-based control system using the DSC TMS320F28379D. The functionality of the algorithms was experimentally verified on a laboratory testbed with an induction motor under various simulated sensor faults. The results demonstrate that the proposed SFTC algorithms significantly increase the robustness of controlled drives without requiring changes to the control structure.