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机构地区:[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001
出 处:《计算机仿真》2013年第9期135-139,共5页Computer Simulation
摘 要:研究超低速直驱式永磁同步潮流发电系统的建模及控制系统优化设计问题。由于潮流流速较慢,潮流发电中用到的永磁同步发电机转动惯量比较大,且电机转速相对较低,使得潮流发电系统动态响应较慢,传统PI控制较难兼顾系统动态特性及稳态性能。为提高发电控制系统的性能,提出了采用专家控制及单神经元控制相结合的智能PI控制算法控制永磁同步发电机转子转速的策略。首先建立了直驱永磁同步潮流发电系统的非线性模型并在单位功率因数控制模式额定运行点对其进行线性化,在对线性化模型进行详细分析的基础上设计了智能PI控制器。最后在MATLAB中对潮流发电系统进行了仿真,对比了传统PI控制及智能PI控制下潮流发电系统的输出波形。仿真结果显示,提出的控制策略能够有效提高系统的动态和稳态性能。The paper has researched the modeling and optimal control strategy of the ultra-low speed direct-driven permanent magnet synchronous tidal generation system.Owing to the low speed of tidal-current velocity,the inertia of permanent magnet synchronous generator (PMSG) is always very large,and the rated speed of rotor is very low,which leads to a poor dynamic characteristic of generation system,and also it is more difficult to design the traditional PI controller given consideration to both dynamic and steady performance.So an intelligent PI control strategy based on the expert control and single neuron was proposed to control the speed of PMSG.Firstly,the nonlinear model of tidal generation system was established,and linearized at the rated operating point of the unit power factor control mode.Then the intelligent PI controller was designed based on the analysis of system linearized model.Finally,the simulation was conducted with MATLAB.The paper compared the outputs of tidal generation system controlled by traditional PI controller with the intelligent PI controller.And the simulation results have verified that the dynamic and steady performances of generation system were all improved effectively.
分 类 号:TM743[电气工程—电力系统及自动化]
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