Active Fault Tolerance Control For Sensor Fault Problem in Wind Turbine Using SMO with LMI Approach

Nuralif Mardiyah (University of Muhamadiyah Malang)
Novendra Setyawan (University of Muhamadiyah Malang)
Bella Retno (University of Muhamadiyah Malang)
Zulfatman Has (University of Muhamadiyah Malang)

Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 5: EECSI 2018

In this paper, we start to investigate the sensor fault problem in a Wind Turbine model with Fault Tolerant Control (FTC). FTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online from sensors to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed Sliding Mode Observer (SMO) based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to maximize sensitivity fault. The second is a design output feedback control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults. Moreover, the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is FTC proved to solve the sensor fault problem in a Wind Turbine model. The simulation showed the effectiveness of this method to estimate the fault and stabilized the system faster to a steady condition.