Design of Fault Tolerant Control of Wind Turbine Speed Control Based on Bias Fault Estimation with Estimation l0 Norm Constraint
Putri Yeni Aisyah (a*), Katherin Indriawati (b)
a) Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
*putriyeniaisyah[at]gmail.com
b)Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
Abstract
Wind energy has several advantages including unlimited energy production, can be used as an alternative step to save fossil energy and not cause pollution. The availability of the wind power plant (PLTB) system on onshore reaches 98%, but the required maintenance costs are still very high in the installed Wind Turbine Generator (WTG) system. Whereas, the availability of PLTB on offshore is reduced up to 60% due to the main cause is damage to several components in the WTG system. This study proposes the use of the bias fault estimation method of the WTG system component on a fault tolerant control (FTC) strategy. The advantage of this scheme is that the estimation of bias can be used as a reference to schedule maintenance of the WTG system. Bias estimation method is built using l0 norm constraint optimization. This estimation method has a simple structure because it only uses a single observer. Optimization formulation with l0 norm constraints is derived by applying a compressed sensing technique so that estimation of bias fault can be used to estimate all actuator and sensor components by a single observer. It answers the problem of observability in the case of using a single observer to estimate several errors with limited measurement variables (less than the number of errors estimated).The single observer model used is able to handle the nonlinearity of the wind turbine generator system, so that it can produce state and error estimates properly. The FTC system produces Settling Time and the Maximum Overshoot value is smaller than the conventional control system
Keywords: Compressed sensing, Bias Fault Estimation, Fault Tolerant Control, Wind Turbine Generator
Topic: International Symposium of Engineering, Technology, and Health Sciences