Enhanced Linear ADRC Strategy for HF Pulse Voltage Signal Injection-Based Sensorless IPMSM Drives

Wang, Gaolin; Liu, Ran; Zhao, Nannan; Ding, Dawei; Xu, Dianguo

doi:10.1109/tpel.2018.2814056

Cited by 164 publications

(54 citation statements)

References 30 publications

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“…Moreover, based on technical information from reputable manufacturers of industrial inverters [27][28][29], injection voltage levels up to 25% of the available voltage are considered acceptable in industry (i.e., up to 80 V, in this case). Extending the survey with references from scientific literature [9,19,23,[30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46], reveals that the injection level required for robust position estimation and sensorless control is widely variable, depending on many factors such as measurement noise, inverter and motor parameters, non-idealities and on the desired dynamics. For this reason, it is difficult to identify the minimum HF voltage which ensures robust sensorless operation, unless experiments on a specific system and application have been carried out.…”

Section: Resultsmentioning

confidence: 99%

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

et al. 2019

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An auto-tuning and self-adaptation procedure for High Frequency Injection (HFI) based position and speed estimation algorithms in Interior Permanent Magnet Synchronous Motor (IPMSM) drives is proposed in this paper. Analytical developments show that, using conventional approaches, the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point. On-line estimation and adaptation of the small signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme which does not rely on a priori knowledge of the machine parameters. On-line adaptation of Phase-Locked Loop (PLL) gains and of the injected voltage magnitude is also possible, leading to important advantages from the performance, loss and acoustic point of view. The theoretical basis of the method has been introduced first and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a commercial industrial drive and two Interior Permanent Magnet Synchronous Motors, namely a prototype and an off-the-shelf machine. Experimental tests demonstrate the feasibility and effectiveness of the proposal.

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Section: Resultsmentioning

confidence: 99%

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

et al. 2019

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“…Theorem 1. Considering multimotor system (8), integral sliding mode surface (23), and controller (25), the integral sliding mode surface S i can converge to be uniformly ultimately bounded in finite time and the synchronization error can stably converge to be uniformly ultimately bounded when ρ ≤ σ m ε/ k α + ε with ϵ and k a being two positive constants. Proof 1.…”

Section: Stability Analysismentioning

confidence: 99%

“…Compared to other control methods, active disturbance rejection control (ADRC) is a new-fashioned application algorithm and has acquired wide application in various fields, such as aerospace and vehicle manufacture [20][21][22][23]. There are some excellent merits of ADRC including error-based character, strong robustness for external disturbance and parametric variations, and superior response rate [24][25][26][27][28]. A nonlinear ADRC [24] is investigated for induction motors to guarantee the robust control and high performance by employing the ESO to observe the derivative signals and precise decoupling of the motor without accurate prior knowledge.…”

Section: Introductionmentioning

confidence: 99%

“…A nonlinear ADRC [24] is investigated for induction motors to guarantee the robust control and high performance by employing the ESO to observe the derivative signals and precise decoupling of the motor without accurate prior knowledge. An enhanced linear ADRC [25] is designed for an interior permanent magnet synchronous motor on the basis of a HF pulse voltage signal injection scheme. The cascaded ESO is proposed to ensure the timely and accurate estimation of the lumped disturbance.…”

Section: Introductionmentioning

confidence: 99%

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Speed Tracking and Synchronization of a Multimotor System Based on Fuzzy ADRC and Enhanced Adjacent Coupling Scheme

et al. 2018

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In this paper, a speed tracking and synchronization control approach is proposed for a multimotor system based on fuzzy active disturbance rejection control (FADRC) and enhanced adjacent coupling scheme. By employing fuzzy logic rules to adjust the coefficients of the extended state observer (ESO), FADRC is presented to guarantee the speed tracking performance and enhance the system robustness against external disturbance and parametric variations. Moreover, an enhanced adjacent coupling synchronization control strategy is proposed to simplify the structure of the speed synchronization controller through introducing coupling coefficients into the conventional adjacent coupling approach. Based on the proposed synchronization control scheme, an adaptive integral sliding mode control (AISMC) is investigated such that the chattering problem in conventional sliding mode control can be weakened by designing an adaptive estimation law of the control gain. Comparative simulations are carried out to prove the superiorities of the proposed method.

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“…However, because of the nonlinear, time-varying, strong coupling of PMSMs, it is difficult to achieve satisfactory motor performance by the use of the traditional PID control algorithm [5]. erefore, various advanced nonlinear controllers have been applied for the control of PMSMs, such as the backstepping controller [6,7], predictive controller [8,9], active disturbance rejection controller [10,11], fuzzy logic controller [12], and neural network controller [13].…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

Peng

Zhang

Ouyang

et al. 2019

Mathematical Problems in Engineering

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A novel sliding mode controller (SMC) with nonlinear fractional order PID sliding surface based on a novel extended state observer for the speed operation of a surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, a new smooth and derivable nonlinear function with improved continuity and derivative is designed to replace the traditional nonderivable nonlinear function of the nonlinear state error feedback control law. Then, a nonlinear fractional order PID sliding mode controller is proposed on the basis of the fractional order PID sliding surface with the combination of the novel nonlinear state error feedback control law to improve dynamic performance, static performance, and robustness of the system. Furthermore, a novel extended state observer is designed based on the new nonlinear function to achieve dynamic feedback compensation for external disturbances. Stability of the system is proved based on the Lyapunov stability theorem. The corresponding comparative simulation results demonstrate that the proposed composite control algorithm displays good stability, dynamic properties, and strong robustness against external disturbances.

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Enhanced Linear ADRC Strategy for HF Pulse Voltage Signal Injection-Based Sensorless IPMSM Drives

Cited by 164 publications

References 30 publications

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

Speed Tracking and Synchronization of a Multimotor System Based on Fuzzy ADRC and Enhanced Adjacent Coupling Scheme

A Sliding Mode Control with Nonlinear Fractional Order PID Sliding Surface for the Speed Operation of Surface‐Mounted PMSM Drives Based on an Extended State Observer

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