基于转矩观测器的垂直轴风力发电最大功率跟踪反演控制
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(1.南通大学机械工程学院,江苏 南通 226019;2.江苏大学电气信息工程学院,江苏 镇江 212013)

作者简介:

吴爱华(1978-),女,博士生,副教授,研究方向为风力发电技术;E-mail:wahmx@163.com
赵不贿(1957-),男,硕士,教授,博导,研究方向为混杂自控Petri网系统,风力发电技术,智能农业;E-mail:zhaobuhui@ujs.edu.cn
茅靖峰(1976-),男,博士,教授,研究方向为风力发电技术,电机及其控制。E-mail:mao.jf@163.com

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国家自然科学基金(61004053,61273151);江苏省自然学科基金(BK20141238);江苏省高校青蓝工程资助项目;江苏省高校研究生科研创新计划项目(CXLX13_681)


Back-stepping control for vertical axis wind power generation system maximum power point tracking based on torque observer
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(1.School of Mechanical Engineering, Nantong University, Nantong 226019, China;2. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

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    摘要:

    为了提高垂直轴永磁直驱风力发电系统控制的鲁棒性和自适应性,针对大范围风速扰动和系统参数不确定的特点,应用非线性干扰观测器(NDO)实现垂直轴风力机气动转矩的估计,再结合反演(Back-stepping)控制方法设计发电最大功率跟踪(MPPT)控制器。控制器采用基于最佳转速跟踪的MPPT策略,通过逐步选择虚拟控制量和构造李雅普诺夫函数,使每个被控子系统具有良好的渐近特性,进而得到整个系统在大扰动下的全局渐近控制律。利用Matlab/Simulink建立系统的仿真模型,通过与PID控制器的对比实验,验证了反演控制器设计的正确有效性。

    Abstract:

    For overcoming the disadvantages of wide range wind power perturbation and model parameter uncertainties, a novel maximum power point tracking (MPPT) controller for vertical axis wind power generation system is designed using back-stepping control method. The MPPT controller adopts wind turbine’s optimum rotational speed tracking algorithm, and the wind turbine’s dynamic aerodynamic torque is estimated by a nonlinear disturbance observer (NDO). According to the back-stepping controller design approach, virtual control signals and Lyapunov functions are constructed step by step. By employing Lyapunov stability theorem, back-stepping control law for each subsystem is worked out, thus, the global asymptotical stability for the overall system that all virtual control signals involved are guaranteed. The control system is simulated using Matlab/Simulink software, which is compared with conventional PID control method. The simulation results verify the correctness and effectiveness of the back-stepping controller. This work is supported by National Natural Science Foundation of China (No. 61004053 and No. 61273151), Natural Science Foundation of Jiangsu Province (No. BK20141238), Qing Lan Project of Jiangsu Province, and Graduate Student Scientific Research and Innovation Project of Jiangsu Province (No. CXLX13_681).

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吴爱华,赵不贿,茅靖峰,等.基于转矩观测器的垂直轴风力发电最大功率跟踪反演控制[J].电力系统保护与控制,2017,45(2):7-13.[WU Aihua, ZHAO Buhui, MAO Jingfeng, et al. Back-stepping control for vertical axis wind power generation system maximum power point tracking based on torque observer[J]. Power System Protection and Control,2017,V45(2):7-13]

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  • 收稿日期:2016-01-19
  • 最后修改日期:2016-03-20
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  • 在线发布日期: 2017-01-20
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