Article
Automation & Control Systems
Xing Qi, Lassi Aarniovuori, Wenping Cao
Summary: With the rapid growth of interior permanent magnet synchronous machines in electric vehicle applications, a fast and efficient method is proposed in this article to generate torque tracking look-up tables. The method is based on machine learning regularization theory and uses L1/L2 regularization to establish a data-driven torque tracking model. Experimental results show that the proposed method can achieve the same accuracy as classical methods with reduced test points and testing time.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Guodong Feng, Chunyan Lai, Yu Han, Narayan C. Kar
Summary: This article proposes a novel online polynomial curve fitting technique for fast and accurate maximum torque per ampere (MTPA) angle detection for interior permanent magnet synchronous machines (IPMSMs). The proposed approach avoids the time-consuming search process and achieves fast detection speed by determining the polynomial parameters from a few test data.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Mohamad Alzayed, Hicham Chaoui
Summary: This paper presents a simplified sensorless dynamic direct voltage MTPA strategy for interior permanent magnet synchronous motors (IPMSMs) in electric vehicle applications, achieving high energy efficiency and maintaining it during transient periods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Xiaogang Liu, Yunhe Du
Summary: This research developed a feedback torque control method based on online parameter identification to improve the performance of interior permanent magnet synchronous motor (IPMSM) used in electric vehicles. By using the recursive least square algorithm, the stator resistance, rotor flux, and dq-axis inductance of the motor are identified simultaneously. The simulation and experimental results both demonstrate that this method has the features of high accuracy, high robustness, and short response time.
Article
Engineering, Mechanical
Vaclav Smidl, Antonin Glac, Zdenek Peroutka
Summary: This paper focuses on the problem of fast and accurate tracking of currents in general synchronous drive. With decreasing available voltage, which is common in high-speed and field weakening regimes, the problem becomes more complicated. The existing time-optimal controllers ignore certain parameters in the model, but we derive a solution considering all parameters and show how they affect the current trajectory. We propose a simplified feed-forward controller that has low computational cost and can be easily implemented in real-time, and validate it experimentally on a developed IPMSM drive prototype.
Article
Engineering, Electrical & Electronic
Guodong Feng, Chunyan Lai, Xiaojun Tan, Narayan C. Kar
Summary: This article introduces an efficient MTPSA control for IPMSMs, aiming to maximize the ratio of output torque to the square of stator current without requiring machine parameters. The proposed control utilizes a gradient descent algorithm to find the optimal MTPSA angle, based on available measurements.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Automation & Control Systems
Changwoo Lee, In Gwun Jang
Summary: In this article, a two-stage topology optimization method is proposed to simultaneously optimize the structural design and current phase angle of an interior permanent magnet synchronous motor (IPMSM), aiming to achieve maximum electromagnetic performance. Structural safety and manufacturability are also considered, and the validity of the proposed method is demonstrated through simulation and experimental results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Energy & Fuels
Chengxu Li, Wenjuan Zhang, Jian Gao, Shoudao Huang
Summary: In this paper, an improved maximum torque per ampere (MTPA) control method for high saturation interior permanent magnet synchronous motors (IPMSM) is proposed. The conventional models of flux linkage and torque are improved by analyzing the nonlinear variation of the permanent magnet (PM) flux linkage with dq-axis currents. An expression suitable for MTPA control of high saturated IPMSM is derived based on the improved models. The proposed parameter fitting models are incorporated into the MTPA optimization algorithm to obtain the MTPA curve, and simulations and experiments verify the effectiveness of the proposed method in enhancing the control accuracy of the MTPA angle.
Article
Automation & Control Systems
Mohamad Alzayed, Hicham Chaoui
Summary: This article presents a simplified dynamic direct voltage MTPA speed control method for IPMSMs to develop an energy efficiency strategy. By finding an exclusive pair of the motor voltage angle and amplitude, the MTPA trajectory tracking is achieved for each reference speed and/or torque condition, resulting in minimum current/power consumption and higher energy efficiency. Experimental outcomes and quantitative assessment verify that this simplified dynamic control strategy is a worthy approach, delivering higher efficiency for IPMSMs' drive in modern industrial applications as a substitution to current MTPA methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Andrea Cervone, Obrad Dordevic
Summary: This article presents a maximum torque per ampere strategy for a five-phase synchronous reluctance drive, which is developed based on general machine parameters and formalized as a constrained optimization problem. The optimal solution is found analytically using Lagrange's multipliers method and is based on the computation of the eigenvalues and eigenvectors of the inductance derivatives matrix. The proposed strategy is evaluated both numerically and experimentally, and it effectively reduces the machine rms currents for the same developed torque, showing its superiority over other current references control strategies. This approach can also be extended to machines with a different number of phases.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Faa-Jeng Lin, Yi-Hung Liao, Jyun-Ru Lin, Wei-Ting Lin
Summary: This study developed an IPMSM drive system with machine learning-based MTPA and FW control strategies, as well as an ACSM speed controller, to achieve high-performance control results.
Article
Automation & Control Systems
Yunhan Zhou, Jinghua Ji, Wenxiang Zhao, Shengdao Zhu, Huan Liu
Summary: In this article, a targeted step skewing of rotor segments scheme is proposed to reduce the modulated vibration in integral-slot interior permanent magnet synchronous machines (IPMSMs). The experimental results validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Wenlong Li, Guodong Feng, Ze Li, Jimi Tjong, Narayan C. Kar
Summary: This article explores the modeling and control strategy of a six-phase asymmetric interior permanent magnet motor based on a multireference frame under single open-phase fault. By introducing dual dq-axis frame and dual-direction rotating frame, the fault-tolerant operation and control schemes are successfully developed, demonstrating the effectiveness of the proposed approach through experiments in both steady and transient scenarios.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Aykut Bicak, Ayetul Gelen
Summary: In this paper, the model reference adaptive system (MRAS) method is used to observe speed in sensorless field-oriented control (FOC) with flux weakening (FW) and maximum torque per ampere (MTPA) operations for the interior permanent-magnet synchronous motor (IPMSM). A modified MRAS observer based on the sigmoid function and adaptive sliding mode coefficient is proposed, and sliding mode strategies are employed for the adaptation mechanism instead of the PI controller. The proposed modified MRAS is compared to conventional methods and examined for performance against the fast terminal sliding mode (FTSM).
Article
Energy & Fuels
Jianning Shi, Chaoying Xia
Summary: This paper proposes a feedback-linearization control method for the cup rotor permanent-magnet doubly fed machine, which successfully achieves the decoupling control of flux and torque and solves the load torque boundaries. The maximum torque per ampere (MTPA) control is introduced to minimize the stator current magnitude under a certain torque. Simulation results demonstrate the good performance of the feedback-linearization control method, verify the correctness of the load torque boundaries, and show the effectiveness and robustness of the proposed control methods.