Continuous Control Set Model Predictive Controller for PMSM Driven Solar PV Water Pumping System

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2019-06-10 DOI:10.1109/EEEIC.2019.8783591

Mohd. Kashif, Shadab Murshid, Bhim Singh

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引用次数: 4

Abstract

A continuous-control set model predictive control (C-MPC) for speed control of permanent magnet synchronous motor (PMSM) fed by a solar photovoltaic (PV) array driving water pump is implemented in this paper. The controller improves the dynamic performance and reduces the steady-state errors. The maximum power point operation of solar PV array is performed using perturb and observe maximum power tracking (MPPT) algorithm. The PMSM is operated by estimating the rotor angular position using back-emf based position sensing method. This eliminates the need of mechanical position sensor. The performance of C-MPC in PMSM drive-system under variable solar insolation, is obtained at starting, steady-state and during dynamics on MATLAB/Simulink platform. A laboratory prototype of the PMSM drive system is developed to validate the performance of the controller.

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永磁同步电机驱动的太阳能光伏水泵系统连续控制集模型预测控制器

针对太阳能光伏发电(PV)阵列驱动水泵驱动的永磁同步电动机的速度控制问题，提出了一种连续控制集模型预测控制方法。该控制器提高了系统的动态性能，减小了系统的稳态误差。采用摄动和观测最大功率跟踪(MPPT)算法对太阳能光伏阵列进行最大功率点运行。永磁同步电机采用基于反电动势的位置传感方法对转子角位置进行估计。这就消除了对机械位置传感器的需要。在MATLAB/Simulink平台上对变日照条件下永磁同步电机驱动系统中C-MPC的启动、稳态和动态性能进行了分析。建立了永磁同步电机驱动系统的实验室样机，验证了控制器的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

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