Backstepping control of two-mass system using induction motor drive fed by voltage source inverter with ideal control performance of stator current

Abstract

<p>This paper describes the design and the simulation of a non-linear controller for two-mass system using induction motor basing on the backstepping method. The aim is to control the speed actual value of load motor matching with the speed reference load motor, moreover, electrical drive’s respone ensuring the “fast, accurate and small overshoot” and reducing the resonance oscillations for two-mass system using induction motor fed by voltage source inveter with ideally control performance of stator current. Backstepping controller uses the non-linear equations of an induction motor and the linear dynamical equations of two-mass system, the Lyapunov analysis and the errors between the real and the desired values. The controller has been implemented in both simulation and hardware-in-the-loop (HIL) real-time experiments using Typhoon HIL 402 system, when the drive system operates at a stable speed (rotor flux is constant) and greater than rated speed (field weakening area). The simulation and HIL results presented the correctness and effectiveness of the controller is proposed; furthermore, compared to PI method to see the response of the system clearly.</p>

Experiment-based Comparative Analysis of Nonlinear Speed Control Methods for Induction Motors

“…In practice there is always a deviation between the calculated and the actual values of the parameters. In addition, they also depend on the load torque, the moment of inertia, and coefficients of the mechanical structure connecting the motor such as damping coefficient d and shaft-stiffness c [12] and [13]. This affects the stability and control quality of the IM drive system.…”

“…It has been shown that when operating in a wide range, the performance of the system degrades with the use of PI control [9][10][11]. Along with the strong development of hardware, nonlinear controllers [12,13] have been applied successfully in electrical drive systems.…”

“…Firstly, we used a flatness-based control by selecting proper system outputs. Because of the order reduction of the differential equations it is relatively easy to set the trajectory of speed and magnetic flux only in the form of a secondorder system with the time constant chosen from the current initial conditions [13][14][15][17][18][19][20]. Secondly, a control design was developed using backstepping control [16,[21][22][23].…”

“…The control methods were analyzed based on criteria for evaluating the quality of electric drives, i.e. torque ripple, speed overshoot and setting time, and robustness [12][13][14], which were verified via a set of experiments.…”

Optimal backstepping control of quadrotor UAV using gravitational search optimization algorithm

“…The backstepping control system is a non-linear control method based on the theorem of Lyapunov. Due to its recursive design and systematic methodology, the backstepping control design methods got many attention [19][20][21][22][23]. Unlike the feedback linearization technique with issues such as the precise model requirement, the backstepping strategy provides a choice of design instruments to accommodate nonlinearities.…”