Fuzzy Sliding Mode Speed Controller for PM Synchronous Motors With a Load Torque Observer

Leu, Viet Quoc; Choi, Han Ho; Jung, Jin‐Woo

doi:10.1109/tpel.2011.2161488

Cited by 175 publications

(94 citation statements)

References 22 publications

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“…The common control engineering knowledge given in [18,19] implies that transient performances can be improved if the P and I gains are big and the D gain is small when the error is big, thus reflecting on this knowledge we try to modify the conventional PID controller (2). The proposed fuzzy PID control input v is determined by a set of fuzzy rules of the following form…”

Section: Fuzzy Pid Control Lawmentioning

confidence: 99%

“…Considering these facts, a fuzzy PID control design method for a buck converter is proposed. The PID parameters are determined based on the common control engineering knowledge that transient performances can be improved if the P and I gains are big and the D gain is small at the beginning [18,19]. Unlike the previous fuzzy control design methods [8][9][10][11][12][13], the global stability of the proposed control system can be guaranteed.…”

Section: Introductionmentioning

confidence: 99%

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Simple Fuzzy PID Controllers for DC-DC Converters

Seo¹,

Choi²

2012

Journal of Electrical Engineering and Technology

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-A fuzzy PID controller design method is proposed for precise robust control of DC-DC buck converters. The PID parameters are determined reflecting on the common control engineering knowledge that transient performances can be improved if the P and I gains are big and the D gain is small at the beginning. Different from the previous fuzzy control design methods, the proposed method requires no defuzzification module and the global stability of the proposed fuzzy control system can be guaranteed. The proposed fuzzy PID controller is implemented by using a low-cost 8-bit microcontroller, and simulation and experimental results are given to demonstrate the effectiveness of the proposed method

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Section: Fuzzy Pid Control Lawmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simple Fuzzy PID Controllers for DC-DC Converters

Seo¹,

Choi²

2012

Journal of Electrical Engineering and Technology

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“…This strategy can reduce prediction errors and improve the performance of drive control system. In [24], the authors designed a fuzzy sliding mode speed controller with a load torque observer, which can effectively mitigate chattering and guarantee robust speed control of a PMSM under model parameter and load torque variations. References [25,26] utilize full-order observers to against stator resistance and inductance variations for the sensorless motor drive.…”

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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“…However, the stability of the system is not mathematically proven. In the sliding mode control of PMSMs, both an integral sliding surface [14] and a differential sliding surface [15] are used to improve the system performance. By introducing a boundary layer strategy [16], the chattering phenomenon can be reduced at the expense of the robustness against parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

Jung¹,

Dang²,

Vu³

et al. 2015

Journal of Power Electronics

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This paper presents a nonlinear sliding mode control (SMC) scheme with a variable damping ratio for interior permanent magnet synchronous motors (IPMSMs). First, a nonlinear sliding surface whose parameters change continuously with time is designed. Actually, the proposed SMC has the ability to reduce the settling time without an overshoot by giving a low damping ratio at the initial time and a high damping ratio as the output reaches the desired setpoint. At the same time, it enables a fast convergence in finite time and eliminates the singularity problem with the upper bound of an uncertain term, which cannot be measured in practice, by using a simple adaptation law. To improve the efficiency of a system in the constant torque region, the control system incorporates the maximum torque per ampere (MTPA) algorithm. The stability of the nonlinear sliding surface is guaranteed by Lyapunov stability theory. Moreover, a simple sliding mode observer is used to estimate the load torque and system uncertainties. The effectiveness of the proposed nonlinear SMC scheme is verified using comparative experimental results of the linear SMC scheme when the speed reference and load torque change under system uncertainties. From these experimental results, the proposed nonlinear SMC method reveals a faster transient response, smaller steady-state speed error, and less sensitivity to system uncertainties than the linear SMC method.

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Fuzzy Sliding Mode Speed Controller for PM Synchronous Motors With a Load Torque Observer

Cited by 175 publications

References 22 publications

Simple Fuzzy PID Controllers for DC-DC Converters

Simple Fuzzy PID Controllers for DC-DC Converters

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

A Nonlinear Sliding Mode Controller for IPMSM Drives with an Adaptive Gain Tuning Rule

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