14 research outputs found

    Dynamic flux observation on variable parameters in field oriented control for induction machine drives

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    Controlled position of induction machine without mechanical sensor has reached a very high stage of development a good dynamic performance response. However, the accuracy of the rotor position and torque need high estimation technical flux behavior in control drives. This paper deals with an improvement dynamic rotor flux observation for induction machine drives based on real parameters variation in field oriented control strategy. However, the control flux permitting the minimization power loss energy. This work presents the implementation of real flux control behavior in real time for induction machine based on digital signal processing. The Dspace DS1104 controller board is used in the implementation. The main technical control vector is applied under practical currents, voltages, position tracking measurements. All advantages of the controlmodels are illustrated by simulation and experimental results for induction machine (3 kW/380V) drive

    Novel loss optimization in induction machines with optimum rotor flux control

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    This paper focus on seeking optimum rotor flux which optimizes total energy control under practical constraints of currents, voltages and speed measurements. Improved flux optimization method is an important criteria to evaluate losses in indirect field oriented control for induction machine drives. The practical usefulness of our control models are evaluated and confirmed through experiments using an induction machine (1.5kW/380V). Simulation and experimental investigation tests are provided to evaluate the consistency and performance of the proposed control mode

    Improvement approach on rotor time constant adaptation with optimum flux in IFOC for induction machines drives

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    Induction machine models used for steady-state and transient analysis require machine parameters that are usually considered design parameters or data. The knowledge of induction machine parameters is very important for Indirect Field Oriented Control (IFOC). A mismatched set of parameters will degrade the response of speed and torque control. This paper presents an improvement approach on rotor time constant adaptation in IFOC for Induction Machines (IM). Our approach tends to improve the estimation accuracy of the fundamental model for flux estimation. Based on the reduced order of the IM model, the rotor fluxes and rotor time constant are estimated using only the stator currents and voltages. This reduced order model offers many advantages for real time identification parameters of the I
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