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This paper deals with a simple, robust and real-time technique for single and simultaneous insulated gate bipolar transistor (IGBT) open circuit fault diagnostic in sensorless vector controlled induction motor (IM) drives. A full sliding mode observer (SMO) is used for speed, flux and stator currents estimation and simultaneously open switch fault diagnostic. The proposed open switch fault detection...
This paper deals with the feasibility on FPGA implementation of a continuous-discrete time observer applied to an induction machine (IM). With only stator currents measurement which are weakly sampled, we can achieve not only a quit reconstruction of these last signals but also, an acceptable estimation of the mechanical speed, the rotor flux components and the load torque. By comparison with its...
This paper addresses the nonlinear control design problem for a state coupled two-tank liquid level system. For this system's dynamics, motivated by a desire to provide precise and economic liquid level control, a novel output feedback control scheme is developed. In the proposed approach, a model-based nonlinear generalized predictive controller combined with a high gain observer is designed for...
Our work focuses mainly on the optimal control issues for switched nonlinear systems. In fact, we are interested, especially, in studying some cases in which we obtain a pre-specified string of active subsystems. Besides, we suggest Genetic Algorithm approach in order to obtain the optimal switching instants. We intend mainly to reduce the cost function according to the previously-mentioned instants.
This paper deals with the design of a nonlinear sensorless controller for a quadruple tank process. So to provide an economic liquid level control, a novel output feedback control scheme is developed. In the proposed approach, a model-based Backstepping controller combined with a second order sliding mode observer is designed for the four-tank liquid levels system. In fact, only two sensors are used...
This work is devoted to the synthesis of an observer for induction motor. Indeed, most control laws require a precise knowledge on model at each sampling time. However, the inaccessibility of some states and large variations of some parameters such as the stator and the rotor resistances, during induction motor operating, represent major challenges for performances of this system. In this sense, a...
This paper focus on the implementation in Field Programmable Gate Arrays (FPGA) of high gain observer (HGO) applied to induction machine. We use the evaluated board Spartant3E with Xc3s500 FPGA for this purpose. The three phases supply and its corresponding pulse width modulation (PWM) are softly generated. Then, with only the both stator currents measurements, an estimation of rotor flux, mechanical...
In this paper, observers design for a class of nonlinear systems has been investigated. Over the last decades, tremendous research activities focus on observer design for nonlinear systems can be shown through the vast literature in this field. Also, waste water treatment process models have become a major tool to design control schemes. So, a model of waste water treatment plants was developed to...
A technique of nonlinear unknown input observer (UIO) is developed for a large class of MIMO nonlinear systems in order to simultaneously estimate the state variables as well as the unknown inputs. In fact, for every unknown input a high gain observer (HGO) is designed before putting the whole of observers on cascade to simultaneously estimate the non-measured states and the unknown inputs. The process...
This paper is about control of hydrographic process. A new output control scheme is developed, which combine a nonlinear backstepping control with an adaptive high gain observer. We consider the nonlinear MIMO class of systems, which include the model of our hydrographic process. The main objective is to automate the control of pumps for a successful and safe manner in order to keeps the levels of...
This paper addresses the estimation of non-measured states in waste water treatment process. Specifically, the extended Kalman filter has been investigated for this class of nonlinear systems. Of particular interest, it is shown that extended Kalman filter can be applied to estimate the states in our system and provide good estimations for the non-measurable states.
In this paper, we studied the optimal control problems for switched non linear systems; in particular we focus on problems in which a prespecified sequence of active subsystems is given and propose a discrete Particle Swarm Optimization approach to find the optimal switching instants. The objective is to minimize the performance criterion wish depend on these instants.
The aim of this paper is to design an unknown inputs observer for a class of MIMO nonlinear systems in order to simultaneously estimate the whole state as well as the unknown inputs. More specifically, to demonstrate its performances, the proposed observer is applied to a hydrographic four tank process, where the non measured levels and the unknown flow rates are instantaneously estimated.
This paper presents a robust high gain output feedback control for a class of a global uniformly observable and controllable hybrid dynamic system. The main topic is to switch between different controllers for every transients periods with the choice of various parameters to track a reference trajectory using the information available from the measurement of the output system. Theoretical analysis...
This paper introduces a new output feedback control scheme, which combines nonlinear backstepping control with an adaptive high gain observer. The advantage of this type of control lies in the simplicity of the control law algorithm by putting the considered system in a “Strict feedback Form” which is a class of systems uniformly observable and commandable. We consider nonlinear SISO class of systems...
In this paper, a methodology for identifying switching sequences and switching instants of switched linear systems (SLS) is derived. The identification problem of a SLS is a challenging and non-trivial problem. In fact, it involves interaction between binary, discrete and real-valued variables. A SLS switches many times over a finite time horizon and thus estimating the sequence of activated modes...
In this paper, optimal control problems for switched discrete systems are studied and compared to the same optimal problem for a continuous system; in particular we focus on problems in which a prespecified sequence of active subsystems is given and propose a metaheuristic approach to find the optimal switching instants. This approach is based on Particle swarm Algorithm. The objective is to minimize...
This work deals with the design of an unknown inputs observer for MIMO nonlinear hybrid systems. It consists in a switching between different observer to a simultaneous estimate of the unavailable states and inputs. A nonlinear reduced model of an alternating activated sludge process, which is decomposed on an aerobic phase and an anoxic phase, is presented. They are the results of a nitrification...
In this paper, we solve the problem of estimation of both states and critical parameters when a predictive control strategy is used for induction motor (IM). The unknown inputs observer (UIO) and an update technique are proposed as elegant and efficient solutions. Indeed, the rotor and stator resistance are recovered as unknown inputs. Moreover, the load torque is estimated on-line, as well as the...
The paper deals with the analysis of the rotor flux oriented control with space vector modulation technique for a five phase induction motor drive. The speed control using the rotor flux oriented control (RFOC) with or without speed sensor uses proportional integral controlled technique which make it possible to achieve satisfactory goals on the torque dynamics and flux. Simulated results on a five...
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