In-Cheol Baik

Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding mode control technique

A digital signal processor (DSP)-based robust nonlinear speed control of a permanent magnet synchronous motor (PMSM) is presented. A quasi-linearized and decoupled model including the influence of parameter variations and speed measurement error on the input-output feedback linearization of a PMSM is derived. Based on this model, a boundary layer integral sliding mode controller is designed and compared to a feedback linearization-based controller that uses proportional plus derivative (PD) controller in the outer loop. To show the validity of the proposed control scheme, DSP-based experimental works are carried out and compared with the conventional control scheme.

A current control for a permanent magnet synchronous motor with a simple disturbance estimation scheme

A current control technique for a permanent magnet synchronous motor (PMSM) with a simple disturbance estimation scheme is proposed. Among the various current control schemes for a PMSM drive, predictive control is known to give a superior performance. This scheme, however, requires the full knowledge of motor parameters. To overcome such a limitation, the disturbances caused by the parameter variations will be estimated by using disturbance observer theory and used for the calculation of the reference voltages by feedforward control. Thus, the control performance can be significantly improved with a relatively simple control algorithm. The proposed control scheme is implemented on a PMSM using DSP TMS320C30 and the effectiveness is verified through the comparative experiments.

Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique

A robust current control technique of a permanent magnet synchronous motor with an adaptive parameter estimation is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated simultaneously. The adaptive laws are derived by Popovs hyperstability theory and the positivity concept. The robustness of the proposed current control scheme is compared with that of the conventional scheme through computer simulation. This adaptive parameter estimation scheme can be applied to the drive systems without a shaft sensor.

Robust nonlinear speed control of PM synchronous motor using boundary layer integral sliding control with sliding load torque observer

An improved nonlinear speed control of a permanent magnet synchronous motor (PMSM) is presented. A quasi-linearized and decoupled model including the influence of parameter variations and speed measurement error on the nonlinear speed control of a PMSM is derived. Based on this model, a boundary layer integral sliding mode (BLISM) controller to improve the robustness and performance of the nonlinear speed control of a PMSM if designed and compared with the conventional controller. A sliding load torque observer to improve the performance of the control is designed and its performance is compared with the asymptotic load torque observer in the conventional control scheme. By employing the proposed control scheme, both the transient and steady state responses are greatly improved under the parameter variations and speed measurement error.

DSP-based robust nonlinear speed control of PM synchronous motor

A DSP-based nonlinear speed control of a permanent magnet synchronous motor (PMSM), which is robust to unknown parameter variations and speed measurement error, is presented. The model reference adaptive system (MRAS)based adaptation mechanisms for the estimation of slowly varying parameters are derived using the MIT rule. For the disturbances or quickly varying parameters, a quasi-linearized and decoupled model including the influence of parameter variations and speed measurement error on the nonlinear speed control of a PMSM is derived. Based on this model, a boundary layer integral sliding mode controller to improve the robustness and performance of a PMSM drive is designed and compared with the conventional controller. To show the validity of the proposed control scheme, simulations and experimental works are carried out and compared with the conventional control scheme.

An improved digital current control of a PM synchronous motor with a simple feedforward disturbance compensation scheme

An improved digital current control technique of a permanent magnet (PM) synchronous motor with a simple feedforward disturbance compensation scheme is presented. Among the various current control schemes for an inverter-fed PM synchronous motor drive, the predictive control is known to give a superior performance. This scheme, however, requires the full knowledge of machine parameters and operating conditions, and cannot give a satisfactory response under the parameter mismatch. To overcome such a limitation, the disturbances caused by the parameter variations are estimated by using a disturbance observer theory and used for the computation of the reference voltages by a feedforward control. Thus, the steady state control performance can be significantly improved with a relatively simple control algorithm, while retaining the good characteristics of the predictive control. The proposed control scheme is implemented on a PM synchronous motor using the software of DSP TMS320C30 and the effectiveness is verified through the comparative simulations and experiments.