Li Shanzhi, Wang Haoping, Tian Yang, Aitouch Abdel, Klein John
LaFCAS, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
LaFCAS, School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
ISA Trans. 2016 Sep;64:431-439. doi: 10.1016/j.isatra.2016.06.003. Epub 2016 Jun 23.
This paper presents an intelligent proportional-integral sliding mode control (iPISMC) for direct power control of variable speed-constant frequency wind turbine system. This approach deals with optimal power production (in the maximum power point tracking sense) under several disturbance factors such as turbulent wind. This controller is made of two sub-components: (i) an intelligent proportional-integral module for online disturbance compensation and (ii) a sliding mode module for circumventing disturbance estimation errors. This iPISMC method has been tested on FAST/Simulink platform of a 5MW wind turbine system. The obtained results demonstrate that the proposed iPISMC method outperforms the classical PI and intelligent proportional-integral control (iPI) in terms of both active power and response time.
本文提出了一种用于变速恒频风力发电机组系统直接功率控制的智能比例积分滑模控制（iPISMC）方法。该方法可在诸如紊流风等多种干扰因素下实现最优功率生产（在最大功率点跟踪意义上）。该控制器由两个子组件组成：（i）用于在线干扰补偿的智能比例积分模块，以及（ii）用于规避干扰估计误差的滑模模块。这种iPISMC方法已在5兆瓦风力发电机组系统的FAST/Simulink平台上进行了测试。所得结果表明，所提出的iPISMC方法在有功功率和响应时间方面均优于传统的PI控制和智能比例积分控制（iPI）。
