Kojabadi H M, Chang L, Boutot T. Development of a novel wind turbine simulator for wind energy conversion systems using an inverter-controlled induction motor [J]. IEEE Transactions on Energy Conversion, 2004, 19(3): 547-552.
[3]
Zhang Y, Ula S. Comparison and evaluation of three main types of wind turbines[C]. IEEE Transmission and Distribution Conference and Exposition, 2008: 1-6.
[4]
Jacobson S H, Yücesan E. Analyzing the performance of generalized hill climbing algorithms [J]. Journal of Heuristics, 2004, 10(4): 387-405.
[5]
李晓燕, 王志新. 风力机偏航控制策略及系统设计[J]. 微计算机信息, 2007, 23(25): 1-3. Li Xiaoyan, Wang Zhixin. Yaw Cnotrol strategy and system design for wind turbine[J]. Micro Computer Information, 2007, 23(25): 1-3.
[6]
王志新, 张华强. 风力发电技术与功率控制策略研究[J]. 自动化仪表, 2008, 29(11): 2-4. Wang Zhixin, Zhang Huaqiang. Research on wind enegy generation technology and power control strategy [J]. Automation Instrumentation, 2008, 29(11): 2-4.
[7]
顾露香, 乐秀璠, 杨虞琨, 等. KHC算法在风力发电机组偏航系统的运用[J]. 华电技术, 2011, 33(9): 92-94. Gu Luxiang, Le Xiufan, Yang Yukun, et al. Applica- tion of KHC algorithm in wind turbine yaw system[J]. Huadian Technology, 2011, 33(9): 92-94.
[8]
Piao H, Wang Z, Zhang H. Cooperative-PSO-based new learning algorithm for PID neural network and nonlinear control design[J]. The Mediterranean Journal of Measurement and Control, 2009, 5(2): 60-70.
[9]
Zhao L, Yang Y. PSO-based single multiplicative neuron model for time series prediction [J]. Expert Systems with Applications, 2009, 36(2): 2805-2812.
[10]
朴海国, 王志新. 基于CPSO的PID神经网络及偏航电机控制策略[J]. 电机与控制学报, 2010, 14(9): 55-62. Piao Haiguo, Wang Zhixin. Control strategy of CPSO- based PID neural network and a yaw motor[J]. Electric Machines and Control, 2010, 14(9): 55-62.
[11]
Narendra K S, Mukhopadhyay S. Adaptive control using neural networks and approximate models[J]. IEEE Transactions on Neural Networks, 1997, 8(3): 475-485.
[12]
李毅, 温正忠, 赵少刚, 等. 风力发电机偏航系统模糊控制的研究[J]. 现代机械, 2007(1): 29-30. Li Yi, Wen Zhengzhong, Zhao Shaogang, et al. Resarch on Fuzzy logic controlling of wind driven-generator yaw system[J]. Modern Machinery, 2007(1): 29-30.
[13]
李毅, 温正忠. 风力发电偏航系统的PID-Fuzzy分段复合控制研究[J]. 机械设计与制造, 2007(4): 54-55. Li Yi, Wen Zhengzhong. Study on PID-Fuzzy composite control for yaw system of wind driven-generator[J]. Machines Design and Manufacture, 2007(4): 54-55.
[14]
Chen F, Yang J. Fuzzy PID controller used in yaw system of wind turbine[C]. IEEE 3rd International Conference on Power Electronics Systems and Applica- tions, 2009: 1-4.
[15]
朴海国, 王志新. 风电机组偏航Fuzzy-PID合成控制系统仿真[J]. 电工技术学报, 2009, 24(3): 183-188. Piao Haiguo, Wang Zhixin. Simulation of fuzzy-PID synthesis yawing control system of wind turbine[J]. Transactions of China Electrotechnical Socity, 2009, 24(3): 183-188.
[16]
Chenghui Z, Pengju L, Jianping W, et al. Research on intelligent controller of wind-power yaw based on modulation of artificial neuro-endocrine-immunity system[J]. Procedia Engineering, 2011(15): 903-907.
[17]
Arabian Hoseynabadi H, Oraee H, Tavner P J. Failure modes and effects analysis(FMEA) for wind turbines [J]. International Journal of Electrical Power & Energy Systems, 2010, 32(7): 817-824.
[18]
王秋芬, 黄芳林. 基于Ansys的大型风电机组偏航连接系统计算方法研究[J]. 机械强度, 2011, 33(4): 607-612. Wang Qiufen, Huang Fanglin. Study on the calculation method of yawing connect system of large wind turbines based on Ansys[J]. Journal of Mechinal Strength, 2011, 33(4): 607-612.
[19]
Ling S, Yongjun G, Zuwen W, et al. Design of large- scale wind power yawing bearing test-bed control system[C]. IEEE International Conference on Fluid Power and Mechatronics (FPM), 2011: 319-323.
[20]
Denny E, O'Malley M. Wind generation, power system operation, and emissions reduction [J]. IEEE Transac- tions on Power Systems, 2006, 21(1): 341-347.