风力机变桨距自抗扰控制技术的研究

发布时间：2018-05-04 19:28

本文选题：风电机组 + 变桨距控制　；参考：《中北大学》2017年硕士论文

【摘要】：目前,风力发电技术日趋成熟,变桨距控制系统在大中型风电机组中得到了广泛应用。然而,由于风能的随机性以及风力机变桨距系统的复杂非线性,风速变化会导致风电机组输出功率产生波动而无法稳定于额定功率处,如何获得较高的风能捕获率以及平稳的输出功率是风电技术的研究重点之一。论文首先介绍了变桨距技术的工作原理,对风电变桨距系统的各个组成部分进行数学建模和Matlab仿真,并基于系统的非线性特性以及具有未知扰动的特点,设计了风力机变桨距自抗扰控制器(Active Disturbance Rejection Control Technique,ADRC)。其次,针对ADRC参数多且难以整定的缺点,论文采用混沌粒子群算法对其进行优化,实现ADRC参数的自寻优整定。再次,在ADRC中,当外界扰动过大时扩展状态观测器的估计能力会有所降低,论文将可以通过系统辨识得到的已知扰动部分前馈补偿于ESO中以减少其需要估计的扰动。另外,文中采用fhan函数实现了微分跟踪器及非线性反馈控制律两部分的无参数整定。最后,通过将文中提出的两种优化ADRC与传统ADRC进行仿真比较,验证了设计的可行性及有效性。本文提出的基于混沌粒子群优化算法的ADRC与基于模型补偿的ADRC算法简单,可实现性强,利用优化的ADRC对变桨距系统进行控制,可以有效提高风电机组输出功率的效率以及稳定性。
[Abstract]:At present, wind power generation technology is becoming more and more mature, variable pitch control system has been widely used in large and medium-sized wind turbines. However, because of the randomness of wind energy and the complexity and nonlinearity of wind turbine pitch system, the variation of wind speed will lead to the fluctuation of output power of wind turbine, which can not be stabilized at the rated power. How to obtain high wind energy capture rate and steady output power is one of the key points in wind power technology. This paper first introduces the working principle of variable pitch technology, and carries on mathematical modeling and Matlab simulation of each component of wind power variable pitch system, and based on the nonlinear characteristics of the system and the characteristics of unknown disturbance. An active Disturbance Rejection Control technique controller for wind turbine pitch rejection is designed. Secondly, aiming at the disadvantage that ADRC parameters are many and difficult to adjust, chaotic particle swarm optimization algorithm is used to optimize ADRC parameters. Thirdly, in ADRC, when the external disturbance is too large, the estimation ability of the extended state observer will be reduced, and the known disturbance partial feedforward can be compensated by the system identification in ESO to reduce the disturbance that needs to be estimated. In addition, the fhan function is used to realize the parameterless tuning of the differential tracker and the nonlinear feedback control law. Finally, the feasibility and effectiveness of the design are verified by comparing the two optimized ADRC proposed in this paper with the traditional ADRC. The proposed ADRC algorithm based on chaotic particle swarm optimization and ADRC algorithm based on model compensation are simple and realizable. The optimized ADRC is used to control the variable pitch system. It can effectively improve the efficiency and stability of wind turbine output power.
【学位授予单位】：中北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273;TM315

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