In this paper, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm is finally applied to the parameter identification ...

State estimators for induction motors are generally designed based on standard simplified models, assuming linear magnetic characteristics. Since they are actually nonlinear, especially for high power machines, the mentioned state estimators are likely not able to achieve the estimation accuracy they have been designed for. In this paper, a new state estimator is developed for a (uniform air-ga...

In this paper, a Luenberger-type boundary observer is presented for a class of distributed-parameter systems described by time-varying linear hyperbolic partial integro-differential equations. First, known limitations due to the minimum observation time for simple transport equations are restated for the considered class of systems. Then, the backstepping method is applied to determine the unkn...

This paper investigates the problem of the nonfragile observer design for discrete-time switched nonlinear systems with time delay. Based on the average dwell-time approach and linear matrix inequality (LMI) techniques, an exponential stability criterion for the discrete-time switched delay system with Lipschitz nonlinearity is derived. Based on several technical lemmas, the discrete-time obser...

This Paper describes the generalised structure of Force-Sensor-less Power assist control (FSPAC) which is an essential technology to design a feedback control system in a human friendly way. Paper clarifies regarding generalised structure of Force-Sensor-less power assist control using two force observer. The Force, which is used to assist the control system is estimated by using encoders inste...

This paper addresses a robust control approach for a class of input-output linearizable nonlinear systems with uncertainties and modeling errors considered as unknown inputs. As known, the exact feedback linearization method can be applied to control input-output linearizable nonlinear systems, if all the states are available and modeling errors are negligible. The mentioned two prerequisites d...

Brushless Direct Current (BLDC) motors are widely used for high performance control applications. Conventional PID controller only provides satisfactory performance for set-point regulation. In this paper, a discrete time optimal tracking control of BLDC motor is presented. Modeling of the BLDC motor is expressed in state equation. A discrete time full-order state observer is designed to observ...

We study how convergence of an observer whose state lives in a copy of the given system’s space can be established using a Riemannian metric. We show that the existence of an observer guaranteeing the property that a Riemannian distance between system and observer solutions is nonincreasing implies that the Lie derivative of the Riemannian metric along the system vector field is conditionally n...

This paper deals with Fault Detection Identification and Isolation (FDII) in actuators and system (component) applied to a Semi Continuous Stirred Tank Reactor(SCSTR). The proposed FDII is based on high gain observers, for detecting faults of actuators and system component. This algorithm has the advantage of detecting multiple faults simultaneously. The observer is constructed from a sub-model...

We are considering the problem of state estimation in induction motors. One key feature of this work is that the problem is dealt with based upon a model that accounts for the saturation effect of the magnetic circuit characteristic. Indeed, magnetic saturation cannot be ignored, especially when high power machines are considered. The above model is first based upon to analyse the machine obser...