PMSM sliding mode FPGA-based control for torque ripple reduction

Jezernik, K.; Korelič, Jože; Horvat, Robert

doi:10.1109/tpel.2012.2222675

Cited by 129 publications

(50 citation statements)

References 26 publications

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“…Detailed information would be useful to machine designers in order to assist iterative geometry selection associated with practical machine design. Although there are many papers focusing on torque ripple reduction in synchronous machines, the majority of which suggest design changes [2][3][4][5][6], others concentrate on the drive and control aspect of reducing torque ripple [7][8][9]. The sources affecting torque ripple can be defined:…”

Section: Introductionmentioning

confidence: 99%

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

2014

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Section: Introductionmentioning

confidence: 99%

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

2014

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“…Unfortunately, this control method requires full knowledge of the motor parameters with a sufficient accuracy and the results under serious variations of the mechanical parameters are not shown. The SMC has achieved much popularity in the speed control of the PMSM drives because of its great properties such as robustness to external load disturbances and fast dynamic [6], [18]- [21]. However, its system dynamics are still subject to the parameter variations and chattering problem.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Jung

Leu

Duc

et al. 2015

IEEE Trans. Power Electron.

254

104

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Abstract-Thispaper proposes an adaptive proportionalintegralderivative (PID) speed control scheme for permanent magnet synchronous motor (PMSM) drives. The proposed controller consists of three control terms: a decoupling term, a PID term, and a supervisory term. The first control term is employed to compensate for the nonlinear factors, the second term is made to automatically adjust the control gains, and the third one is designed to guarantee the system stability. Different from the offline-tuning PID controllers, the proposed adaptive controller includes adaptive tuning laws to online adjust the control gains based on the gradient descent method. Thus, it can adaptively deal with any system parameter uncertainties in reality. The proposed scheme is not only simple and easy to implement, but also it guarantees an accurate and fast speed tracking. It is proven that the control system is asymptotically stable. To confirm the effectiveness of the proposed algorithm, the comparative experiments between the proposed adaptive PID controller and the conventional PID controller are performed on the PMSM drive. Finally, it is validated that the proposed design scheme accomplishes the superior control performance (faster transient response and smaller steady-state error) compared to the conventional PID method in the presence of parameter uncertainties.Index Terms-Adaptive control, parameter uncertainties, PID control, surface-mounted permanent magnet synchronous motor (SPMSM). I. INTRODUCTIONN recent years, the ac motors are extensively applied in home appliances as well as industrial applications such as electric vehicles, wind generation systems, industrial robots, air conditioners, washing machines, etc. There are two main categories of the ac motors: induction motors (IMs) and permanent magnet synchronous motors (PMSMs). Nowadays, the IMs are used in about 70% of industrial electric motors due The authors are with the Division of Electronics and Electrical Engineering, Dongguk University, Seoul 100-715, Korea (E-mail: tonducdo@dongguk.edu).to their simplicity, ruggedness, and low production costs [1]- [5]. Despite that, the PMSMs are gradually taking over the IMs owing to their high efficiency, low maintenance cost, and high power density. However, the PMSM system is not easy to control because it is a nonlinear multivariable system and its performance can be highly affected by parameters variations in the run time [6]- [9]. Therefore, researchers always desire to design a high-performance controller which has a simple algorithm, fast response, high accuracy, and robustness against the motor parameter and load torque variations.Traditionally, the proportional-integral-derivative (PID) controller is widely adopted to control the PMSM systems in industrial applications owing to its simplicity, clear functionality, and effectiveness [10]. However, a big problem of the traditional PID controller is its sensitivity to the system uncertainties. Thus, the control performance of the conventional PID method can be seriou...

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“…Although there are methods to make the states decoupled approximately such as setting the referenced direct axis current to zero, it is still difficult for the conventional linear control methods, including the proportional-integral (PI), to achieve a high-precision performance [1]. To enhance the control performance, more advanced control methods have been introduced to PMSM servo systems, e.g., adaptive control [2]- [6], [19], disturbance estimation based control [7], [8], sliding model control [9]- [11], finite-time control [17], predictive control [13], [14], fuzzy control [15], [18], [19], neural network control [1], [12], [15], [16], etc. These methods have improved the performance of PMSM servo systems from different aspects.…”

Section: Introductionmentioning

confidence: 99%

Speed Control for a PMSM Servo System Using Model Reference Adaptive Control and an Extended State Observer

Li¹,

Li²

2014

Journal of Power Electronics

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In this paper, the speed regulation problem of permanent synchronous motor (PMSM) systems under the vector control framework is studied. A model reference adaptive controller (MRAC) based on the Lyapunov stability theory is first designed. Since the standard MRAC method provides poor disturbance rejection performance in the case of strong disturbances, a composite control method which combines the MRAC method and the disturbance estimation method, called the MRAC+ESO method, is proposed. An extended state observer (ESO) is introduced to estimate the lumped disturbances. The obtained estimated value acts as a feedforward compensation term to the MRAC controller. A stability analysis of the composite control method is given. Simulation and experimental results are presented and compared to show the effectiveness of the proposed control method.

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PMSM sliding mode FPGA-based control for torque ripple reduction

Cited by 129 publications

References 26 publications

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

A Seminumerical Finite-Element Postprocessing Torque Ripple Analysis Technique for Synchronous Electric Machines Utilizing the Air-Gap Maxwell Stress Tensor

Adaptive PID Speed Control Design for Permanent Magnet Synchronous Motor Drives

Speed Control for a PMSM Servo System Using Model Reference Adaptive Control and an Extended State Observer

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