Abstract
In this paper, a sliding mode observer (SMO) for the speed-sensorless direct torque vector control of linear induction motor(LIM) is proposed, considering the influence of dynamic end effects. The proposed SMO estimate the motor speed, the rotor flux, the angular position of the rotor flux, and the speed dependent parameter w, only by using the measured stator voltages and stator currents. The nonlinear sliding mode technique guarantees very good performance for different situations of motor speed. The proposed SMO does not use complicated observer gains and robust to the parameter variation over the full-speed range. Moreover, the convergence of SMO is proven by using the Lyapunov theory. Furthermore, LIM Drive state observability is presented with detailed analysis. The performance of the proposed SMO is verified by hardware-in-the-loop test (HIL) system. Furthermore, a comparative study with and Luenberger observer(LO) and model reference adaptive system(MRAS) is presented.
Highlights
Linear induction motor is a kind of transmission device, which can convert electrical energy directly into linear motion of mechanical power
1) A method based on the nonlinear dynamical system state observability theory is applied to LIM drive state observability analysis, together with conditions allowing reliable motor speed estimation
The feasibility and effectiveness of the proposed sliding mode observer (SMO) technique for LIM system has been validated with Hardware-in-theloop (HIL) test
Summary
Linear induction motor is a kind of transmission device, which can convert electrical energy directly into linear motion of mechanical power. It should be remarked that if the LIM’s model is very close to the actual system, the designed observer will be very efficient On this basis, Ducan [9] introduced end effect factor Q to describe equivalent T-model of LIM, and the state space equation of LIM is proposed by Pucci [8]. Second-order sliding-mode MRAS observer-based sensorless vector control of linear induction motor drives was proposed by [34], [35]. All of these methods are based on linearized models and are sensitive to perturbations and modeling errors. A modified sliding mode observer is presented for speedsensorless linear induction motor drive systems, considering the influence of dynamic end effects. LIM’s STATE SPACE EQUATION From the voltage equation (6-7) and flux equation (8-9) above, the state space equation of LIM can be obtained as follows [8]
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