@article{stevens_husain_2022, title={Automated Controller Design for the PMSM Using Dynamic Mode Decomposition}, volume={10}, ISSN={["2169-3536"]}, DOI={10.1109/ACCESS.2022.3156086}, abstractNote={This work presents a method to automatically generate a high performance controller for the permanent magnet synchronous motor (PMSM). The method consists of two components, a nominal system identification and a harmonic component identification. Both identification methods are based on dynamic mode decomposition (DMD). The nominal system identification is used to assign the feedback gaines by matching the desired closed-loop eigenvalues and eigenvectors. The harmonic system identification is used to generate vectors that are multiplied by a delay embedding of the current to predict harmonic components at the next time-step. The method is applied to two experimental test setups, one interior permanent magnet (IPM) and one surface mount permanent magnet (SPM) motor. It is shown that the automatically generated feedback controller is able to achieve a more precise transient response than the traditional rule-based PI controller. It is also shown the harmonic compensation method is able to reduce total demand distortion (TDD) on phase currents better than a traditional adaptive filter approach without the need for gain tuning. This work shows a novel approach to using DMD for the complete system identification of the PMSM, and lays the foundation for using DMD with delay embeddings to analyze and manipulate harmonic signals in a predictive way.}, journal={IEEE ACCESS}, author={Stevens, Adam and Husain, Iqbal}, year={2022}, pages={26101–26116} }
 @inproceedings{hollar_brain_nayak_stevens_patil_mittal_smith_2017, title={A New low cost, efficient, self-driving personal rapid transit system}, DOI={10.1109/ivs.2017.7995753}, abstractNote={The market demand for a low-cost transportation system that operates efficiently in a circulatory environment is significant. In this paper, we propose a solution, EcoPRT, a two person, electric, autonomous, low cost, adaptable system that solves the circulatory problem, being ideal for areas that are too far to walk but too short to drive. The key advantages of the proposed system are: narrow footprint, low weight, low cost, no delays en route, and adaptable installation. A pilot run of the vehicle is expected during the first part of 2017 on the campus of NC State University. To date an operating prototype and test track have been completed. An overview of the mechanical and electrical vehicle design is presented. Additionally, we discuss the major navigation and sensing subsystems including the development of a low-cost 3D LIDAR unit for navigation and collision avoidance. Further, three different solutions for vision-based navigation are compared qualitatively for effectiveness. In summary, a functional platform vehicle is presented on which we expect to further develop and refine an effective, low cost, automated transportation solution.}, booktitle={2017 28th ieee intelligent vehicles symposium (iv 2017)}, author={Hollar, S. and Brain, M. and Nayak, A. A. and Stevens, A. and Patil, N. and Mittal, H. and Smith, W. J.}, year={2017}, pages={412–417} }