Sensorless Model Predictive Direct Current Control Using Novel Second-Order PLL Observer for PMSM Drive Systems

Preindl, Matthias; Schaltz, Erik

doi:10.1109/tie.2010.2100331

Cited by 127 publications

(51 citation statements)

References 16 publications

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“…Let L 0 be the solution of the following ARE 0 * (12) and L(x) = L 0 + ΔL(x). Therefore, a state-dependent optimal gain matrix K(x) can be represented as the sum of a constant matrix K 0 and an incremental matrix ΔK(x),  x…”

Section: Theoremmentioning

confidence: 99%

“…Consequently, it is quite challenging to precisely and quickly control the PMSMs with the nonlinear dynamic model. Recently, to cope with the limitations of the linear control methods, many researchers have proposed various nonlinear control techniques such as adaptive control [3]- [5], fault-tolerant control [6], robust control [7], intelligent control [8], sliding mode control [9], direct torque control [10]- [11], model predictive control [12], and fuzzy control [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SDRE-Based Near Optimal Control System Design for PM Synchronous Motor

Duc

Choi

Jung

2012

IEEE Trans. Ind. Electron.

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Abstract-This paper presents a nonlinear optimal speed controller based on a state-dependent Riccati equation (SDRE) for permanent magnet synchronous motor (PMSM). An SDREbased near optimal load torque observer is also proposed to provide the load torque information for the controller. In both designs, the stability is analytically proven and Taylor series method is used to find an approximate solution because the SDRE cannot be directly solved. The SDRE-based optimal controller and observer can ensure better control performance such as no overshoot and fast transient response in speed tracking than the linear conventional controllers such as LQ regulator and PI controller even under the variations of the model parameters and load torque. The proposed SDRE-based control strategy is implemented on a PMSM testbed using TMS320F28335 DSP. The simulation and experimental results are given to prove the feasibility of the proposed control scheme.

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Section: Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SDRE-Based Near Optimal Control System Design for PM Synchronous Motor

Duc

Choi

Jung

2012

IEEE Trans. Ind. Electron.

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show abstract

“…In 1964, Luenberger proposed state observer design theoretical for linear systems, has received extensive discussion [27][28][29]. Reference [30] has proposed a special angle and speed state observer to modify the model predictive direct current control strategy in order to obtain high dynamics. A model-based robust controller is used in [31] to estimate the load torque, and analyzed the convergence of the observer estimation error, the simulation and experimental results are presented to verify that the proposed methodology achieves a better robust performance.…”

Section: Introductionmentioning

confidence: 99%

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Wang¹,

Fu²,

Yang³

et al. 2017

Journal of Electrical Engineering and Technology

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-In this paper, an improved predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) control system is proposed, on account of the standard PFC method cannot provides a satisfying disturbance rejection performance in the case of strong disturbances. The PFC-based method is first introduced in the control design of speed loop, since the good tracking and robustness properties of the PFC heavily depend on the accuracy of the internal model of the plant. However, in orthodox design of prediction model based control method, disturbances are not considered in the prediction model as well as the control design. A minimumorder observer (MOO) is introduced to estimate the disturbances, which structure is simple and can be realized at a low computational load. This paper adopted the MOO to observe the load torque, and the observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC strategy with torque compensation, called the PFC+MOO method, is presented. The validity of the proposed method was tested via simulation and experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

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“…Predictive control is one method widely used in PMSM digital controller, just like model predictive control in [1] [2] and adaptive predictive control in [3], which is to predict the trend of motor states and give the optimum control amounts with the sampling values at current time so as to adjust the states accurately and in time. It is also effective for stator current control with higher performance of dynamic responding and tracking than the traditional hysteresis control and the digital PI control.…”

Section: Introductionmentioning

confidence: 99%

Current Dynamically Predicting Control of PMSM Targeting the Current Vectors

Sun¹,

Jing²,

Dong³

et al. 2015

Journal of Electrical Engineering and Technology

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-This paper present a current predicting control method for PMSM (permanent magnet synchronous motor) to improve the tracking performance of stator current, which regards the current vector as the control target. Solving the model state equation in the static frame (α-β frame), the dynamic change of current vector will be gained as three independent terms. These change terms, which contain the prediction of current vector, are discretized and simplified by Taylor series expansion and used to get the voltage vector as the predictive control quantity. SVPWM will transform the control voltage to the switching signal of inverter, which is newly deduced for the current vector. Simulation and experiment results are given to testy and verify the performance of this method.

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Sensorless Model Predictive Direct Current Control Using Novel Second-Order PLL Observer for PMSM Drive Systems

Cited by 127 publications

References 16 publications

SDRE-Based Near Optimal Control System Design for PM Synchronous Motor

SDRE-Based Near Optimal Control System Design for PM Synchronous Motor

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Current Dynamically Predicting Control of PMSM Targeting the Current Vectors

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