Chiheb Ben Regaya

DSP-based adaptive backstepping using the tracking errors for high-performance sensorless speed control of induction motor drive.

This paper presents a modified structure of the backstepping nonlinear control of the induction motor (IM) fitted with an adaptive backstepping speed observer. The control design is based on the backstepping technique complemented by the introduction of integral tracking errors action to improve its robustness. Unlike other research performed on backstepping control with integral action, the control law developed in this paper does not propose the increase of the number of system state so as not increase the complexity of differential equations resolution. The digital simulation and experimental results show the effectiveness of the proposed control compared to the conventional PI control. The results analysis shows the characteristic robustness of the adaptive control to disturbances of the load, the speed variation and low speed.

Real time PI-backstepping induction machine drive with efficiency optimization

This paper describes a robust and efficient speed control of a three phase induction machine (IM) subjected to load disturbances. First, a Multiple-Input Multiple-Output (MIMO) PI-Backstepping controller is proposed for a robust and highly accurate tracking of the mechanical speed and rotor flux. Asymptotic stability of the control scheme is proven by Lyapunov Stability Theory. Second, an active online optimization algorithm is used to optimize the efficiency of the drive system. The efficiency improvement approach consists of adjusting the rotor flux with respect to the load torque in order to minimize total losses in the IM. A dSPACE DS1104 R&D board is used to implement the proposed solution. The experimental results released on 3kW squirrel cage IM, show that the reference speed as well as the rotor flux are rapidly achieved with a fast transient response and without overshoot. A good load disturbances rejection response and IM parameters variation are fairly handled. The improvement of drive system efficiency reaches up to 180% at light load.

Speed sensorless indirect field-oriented of induction motor using two type of adaptive observer

In this paper, the indirect vector control speed sensorless is presented, two adaptive mechanisms have been proposed to estimate the rotor speed. The first adaptive observer based on sliding mode, a study was made to present the steps needed to design a sliding mode observer. The second has been developed from the backstepping technique to design an observer for the rotor speed. Finally, tests show the robust performance of the control law obtained by these two types of adaptive observers.

A quasi linear parameter varying approach to robust control of an Induction machine

The Induction Machine employing vector control is an unbeatable solution in high performance economical industrial servo drive applications. We present in this paper a high performance and robust controller applied to the induction motor. The proposed solution is based on a quasi Parameter Varying Approach framework to overcome the high non-linearity of dynamic model in rotating d,q frame. The LPV framework has been widely and successfully applied to robust nonlinear control to provide stability under model uncertainties. The numerical simulation results obtained show benefits of proposed solution in electrical drive systems.

Discrete-time adaptive backstepping control: Application to pumping station:

This article proposes an application of a discrete-time adaptive backstepping control strategy for a hydraulic process pumping station. The proposed solution leads to improved control system performances in terms of pressure and flow tracking in transient and standstill operation and improvement of pressure response time. The proposed design methodology is based on accurate model for pumping station, which is developed in previous works using fuzzy-C means algorithm. The control law design is based on discrete-time adaptive backstepping control, which is developed in the sense of Lyapunov stability theory using sign function, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, simulation and experimental tests are made and analyzed. Compared to the conventional proportional–integral approach, the results show that the discrete-time adaptive backstepping control allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

An improved Fuzzy Logic control of irrigation station

This paper presents a control design for the irrigation station by sprinkling. The proposed method is applied in order to solve the problem of managing water sources and distributions systems. This paper presents the synthesis of a Fuzzy Logic control applied to the station of irrigation by sprinkling, this method has the advantage of stability conditions of the proposed controller. After presentation of mathematical model of our station, simulation results illustrate the performance of the control strategy.

Fuzzy Supervisor Approach Design Based-Switching Controller for Pumping Station: Experimental Validation

This paper proposes a discrete-time switching controller strategy for a hydraulic process pumping station. The proposed solution leads to improving control system performances with two tests: combination of Fuzzy-PD and PI controllers and Fuzzy-PID and PI controllers. The proposed design methodology is based on accurate model for pumping station (PS), which is developed in previous works using Fuzzy-C Means (FCM) algorithm. The control law design is based on switching control; a fuzzy supervisor manages the switching from one to another and regulates the rate of participation of each order, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, experimental tests are made and analyzed. Compared to the conventional PI and fuzzy logic (FL) approaches, the results show that the switching controller allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

Adaptive discrete-time backstepping control of irrigation station

This paper presents a control design for the irrigation station by sprinkling. The proposed method is applied in order to solve the problem of managing water sources and distributions systems. This paper presents the synthesis of a Backstepping control applied to the station of irrigation by sprinkling, Based on Lyapunov function, this method has the advantage of Stability conditions of the proposed controller. After presentation of mathematical model of our station, simulation results illustrate the performance of the control strategy.