FPGA Implementation of Sensorless Sliding Mode Observer With a Novel Rotation Direction Detection for PMSM Drives

Ma, Zeyu; Zhang, Xin

doi:10.1109/access.2018.2871730

Cited by 51 publications

(26 citation statements)

References 22 publications

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“…Eventually, it does not work normally and the measured value deviates from the actual value. According to practical applications, there are mainly three types of sensor faults in PMSM drive systems: stuck, constant gain and constant deviation [27]. Suppose that the output of each type of sensor is z(t), z(t) ∈ {i a ,i b ,i c ,ω}, if it fails at moment t f , the measured output of the sensor after the three types of fault can be expressed as:…”

Section: Sensor Fault Descriptionmentioning

confidence: 99%

Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Zhu

Tan

et al. 2019

Energies

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Due to the use of multiple observers and controllers in multi-sensor fault-tolerant control of PMSM drive systems, the algorithm is complex and the system control performance is affected. In view of this, the paper studies multi-sensor fault diagnosis and active fault-tolerant control strategies based on a composite sliding mode observer. With the mathematical model of PMSM built, a design method of the composite sliding mode observer is proposed. A single observer is used to observe and estimate various state variables in the system in real time, which simplifies the implementation of observer-related algorithms. In order to improve the diagnostic accuracy of different types of sensors under different faults, a method for determining fault thresholds is proposed through global search for the maximum residual value. Based on this, a fault diagnosis and active fault-tolerant control strategy is proposed to realize fast switching and reconstruction of feedback signals of closed-loop control systems under different faults of multiple sensors, thus restoring the system performance. Finally, the effectiveness of the proposed algorithm and control strategy is verified by simulation experiments

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Section: Sensor Fault Descriptionmentioning

confidence: 99%

Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Zhu

Tan

et al. 2019

Energies

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“…Such SMOs have recently been applied to estimate the position, flux, current, and speed errors of switched reluctance motors [25]. Ma et al [26] used an SM approach to detect the direction of rotation of PMSMs, using actual stator current as the error trajectory. Alternatively, in this study we propose an SMO for estimating the IM speed without using an online estimation of the IM parameters.…”

Section: Introductionmentioning

confidence: 99%

Integral Super Twisting Sliding Mode Based Sensorless Predictive Torque Control of Induction Motor

et al. 2020

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In the direct torque control (DTC) of induction motor (IM) drive systems utilizing model predictive torque control (MPTC) in the inner loop and classical proportional integral (PI) control in the outer loop is prone to weaknesses, such as uncertainties, external disturbances, parameter variations, and nonlinear dynamics. A high-performance control system for speed and torque is required to guarantee a smooth and robust control architecture that can withstand such unpredictable effects. In this study, we propose an integral super twisting sliding mode control (ISTSMC) to address the shortcomings of the classical PI used in the outer loop of DTC drive systems. A sliding mode speed observer is also designed and utilized to overcome problems associated with mechanical sensors. The robustness of the proposed control strategy and fast dynamic speed response are compared favorably with a benchmark PI controller and conventional sliding mode control (SMC). The ability of the proposed system to regulate both speed and torque was evaluated through simulations, under various fault perturbations, parameter variations, and load disturbances, conducted in MATLAB/ Simulink. Various performance indices were used to demonstrate the superior performance of the proposed strategy compared to a benchmark PI system and conventional SMC-based MPTC approaches.

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“…The development of digital calculators such as DSP and FPGA improves the numerical PMSM control drives. These modern platforms allow developing nonlinear controls that improve the performance of the systems with different noise and uncertainties i.e., robust control [1], direct torque control [2], intelligent control [3], …, adaptive control [4] and sliding mode control (SMC) [5]. This last method is applied in many control fields [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Sliding Mode Speed Control of Permanent Magnet Synchronous Motor Using NPC Converter

Ettalabi¹,

Bouzi²,

Bossoufi³

et al. 2020

International Journal of Engineering Research and Technology

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These days, the researches on permanent magnetic synchronous motors (PMSMs) as mechanical power sources have obtained more and more attention. the popular strategies applied to control the machine speed presents higher standards for torque response speed and accuracy of the PMSMs control system. To follow the reference motor speed as quick as possible, a sliding mode (SM) motor speed controller that can decouple q-axis and d-axis currents is proposed Moreover, To mitigate the well-known chattering phenomenon caused by the discontinuous term in a steady state of the conventional sliding mode control, a Fuzzy logic algorithm is introduced. The proposed Fuzzy-SMC performance is tested in simulation using MATLAB/Simulink environment. To eliminate the chattering phenomenon a combination of the command in sliding mode and the fuzzy logic is adopted. The proposed method also can guarantee the robust control of PMSMs under model parameters (resistance, inductance) and load torque variations. Based on the obtained results, it is clear that a fuzzy sliding mode controller can perform better than the conventional PI controller in terms of rising time, overshoot, settling time, and steady-state error. The effectiveness of the combined Fuzzy-SM Controller also can guarantee the robust control of PMSMs and shows that this command did not depend on machine parameters (resistance, inductance) comparing to other existing commands and the chattering effect is reduced using this proposed method.

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FPGA Implementation of Sensorless Sliding Mode Observer With a Novel Rotation Direction Detection for PMSM Drives

Cited by 51 publications

References 22 publications

Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Integral Super Twisting Sliding Mode Based Sensorless Predictive Torque Control of Induction Motor

Fuzzy-Sliding Mode Speed Control of Permanent Magnet Synchronous Motor Using NPC Converter

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