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In this paper, a discrete-time Linear Parameter-Varying (LPV) system identification method using artificial neural network is described. In particular, neural network is transformed to obtain LPV model of the non-linear system. Moreover, a novel robust fault diagnosis scheme is developed, which is based on an observer within H∞ framework for a class of non-linear systems. The effectiveness of the...
The algorithm of the interval observer design for a class of nonlinear systems with parametric uncertainty is considered. It is shown that the observer allows to derive an interval that contains the actual value of the state at a given time. The main condition of such a device construction deals with a cooperativity of the interval estimation error dynamics. The question of the selecting the individual...
This paper proposes a discrete-time sliding mode current observer (DSMCO) that relies only on the measure of the voltage between a distribution static compensator (DSTATCOM) and a self-excited induction generator (SEIG). Thus, the proposed observer reduces the overall cost of the voltage regulator system, however, the current sensor's cost is significant. The proposed algorithm is also adaptive, because...
This paper proposes a discrete-time super twisting sliding mode control (DSTSMC) based on state predictive observer for voltage regulation of a distribution static converter reactive (DSTATCOM) plan with na isolated self-excited induction generator (SEIG). The state predictive observer estimates the state variables of the system one step ahead, so that the discrete-time sliding mode controller generates...
The paper proposes an implementation of a motion sensorless control system in a very wide speed range — from zero speed operation, based on direct and quadrature inductance components of the stator flux linkage for the interior permanent magnet synchronous motor-IPMSM, without signal injection. The proposed observer is developed using the Lyapunov design, resulting a scheme with a full observer for...
This paper proposes a new high-bandwidth speed sensorless field orientated control system for interior permanent magnet synchronous motor drives for wide speed range operation, including standstill. The sliding mode observer is used for joint stator flux and rotor speed estimation at all speeds. At low speeds, the flux vector estimate of the observer is enhanced by the fundamental PWM excitation technique...
The paper deals with the problem of decentralized fault detection, isolation and recovery for teams of networked robots. The proposed strategy is a combination of distributed and local approaches that allow the robots to deal with both recoverable and unrecoverable faults. A local adaptive fault observer is used to locally compensate recoverable faults, while a distributed fault detection and isolation...
The observer presented in this paper, which was based on the use of three minimalistic bio-inspired Visual Motion Sensors (VMS) detecting Optic Flow (OF) cues, states was intended as a backup solution in the case of Inertial Measurement Unit (IMU) failure. Contrary to most previous Guidance Navigation and Control (GNC) solutions for planetary landing, which have involved a sensor suite including an...
Controlling an induction machine has been a difficult task since its invention, especially at low speed operation and during highly dynamic regimes, where the required torque/speed changes constantly. This paper aims to present the validation and implementation of a deadbeat direct torque and flux control scheme (DB-DTFC) for induction machines on a multilevel platform consisting on an FPGA, a real...
State-space current control enables high dynamic performance of a three-phase grid-connected converter equipped with an LCL filter. In this paper, observer-based state-space control is designed using complex-valued modeling and direct pole placement in the discrete-time domain and in grid-voltage coordinates. The proposed observer reduces the number of measurements in control, and retained connection...
A comparison of two passivity-based control strategies — with and without an integral control action — is proposed in this paper for the tracking control of a hydrostatic transmission, which is commercially used in working machines. An unknown leakage volume flow and a resulting load torque are taken into account as lumped disturbances. These disturbances and two unmeasurable state variables — the...
In this paper, a nonlinear control approach based on a control-oriented model of an engine cooling system for vehicles is presented. An electrically driven coolant pump and a servo-controlled bypass valve act as control inputs. Due to physical limitations regarding the volume flow provided by the coolant pump as well as the opening section of the servo-controlled bypass valve, a constrained control...
Based on a decentralised control structure, two fast nonlinear model predictive control (FNMPC) algorithms — a gradient-based FNMPC and a Newton-Raphson-based FNMPC — are investigated and compared for the tracking control of the motor angular velocity of a hydrostatic drive train, which is commercially used in working machines. A flatness-based approach is employed for the tracking control of the...
The typical motion of a combustion engine, such as the four-stroke Otto engine, is characterized by a periodic variation of its torque over the rotation angle of the driven shaft. This torque variation leads to the effect of time-varying accelerations and angular velocities. Modeling approaches for combustion engines that can be used for the implementation of control strategies for corresponding engine...
This paper presents methods for improving the accuracy of vector-based position measurements through the decoupling of multiple non-ideal sensor properties using model reference adaptive system (MRAS) techniques. The non-ideal sensor properties considered are: signal scaling errors (amplitude imbalance on the vector components), signal offsets, imperfect orthogonality (quadrature error) between sensor...
This paper proposes an encoderless finite state predictive torque control (FS-PTC). In FS-PTC, stator flux and torque are predicted using a finite number of inverter switching states to select an optimal voltage vector to be applied to the motor by actuating a predefined cost function. Up to now, extended Kalman filter (EKF), a promising state observer for encoderless control system, has not been...
In the context of the electricity production, the solar energy is appropriate and endless. At present the technologies of solar concentration are the one which present most possibilities for commercial use. Thus, it is necessary not only to design processes of conversion of energy, but it is also important to assure an availability of these equipment by the conception of fault detection and isolation...
A novel combined sliding mode adaptive observer for flux and speed estimation of direct thrust controlled surface mounted Linear Permanent Magnet Synchronous Motor (LPMSM) without using position sensors is proposed. The observer comprises a linear state observer combined with a novel nonlinear sliding mode component. The sliding mode component is improved by using two boundary layers which reduce...
In this paper, a state-feedback linear-quadratic regulator (LQR) is proposed for event-based control of a linear system. An interesting property of LQRs is that an optimal response of the system can be obtained in accordance to some specifications, like the actuator limits. An integral action is also added in order to not only restrict the study to null stabilization but also to tracking. The idea...
In this paper, attacks/faults detection and isolation in the Smart Grid system are studied. First, a mathematical model of the power grid system is derived. Then, detection and isolation of attacks/faults using Generalized Observer Scheme (GOS) implementing Kalman Filter are discussed. The attack assessment is performed using χ2-detector. Even though, GOS is effective in isolating attacks/faults on...
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