A Method of Parameter Identification Based on Least Squares for Torpedo Propulsion Motor
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摘要: 鱼雷推进电机在运行过程中, 由环境温度改变引起的电机参数 (包括电阻、电感、风阻系数等) 变化会对控制性能造成不确定的影响。本文以电机的微分方程为基础, 直接构造基于最小二乘法的目标函数, 从而得到电机参数。该方法原理简单、运算量小、实时性高、适用范围广, 特别是无需特定的激励源, 只需采用脉宽调制激励源就可以得到理想的辨识效果, 避免了伪随机序列激励对系统运行造成的影响。Abstract: The torpedo propulsion motor′s parameters, such as resistor, inductor, and viscous coefficient, vary with the ambient temperature, which usually leads to structure change and uncertain influence on the control system. In this paper, an objective function based on least squares is established by making use of the differential equations of propulsion motor to obtain the motor′s parameters. This method only adopts the excitation source of pulse width modulation to achieve ideal parameter identification without needing specific excitation (such as M sequence), which can preserve the system operation from the interference of pseudo-random sequence. And this method has the features of simple principle, small amount of calculation, high real-time performance, and wide application.
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[1] Cong S, Li G D, Feng X Y. Parameters Identification of Nonlinear DC Motor Model Using Compound Evolution Algorithms[C]//Proceedings of the World Congress on Engineering 2010 Vol I, WCE 2010, June 30-July 2, 2010, London, U.K. [2] Stephan J, Bodson M, Chiasson John, Real-Time Esti- mation of the Parameters and Fluxes of Induction Mo- tors[J]. IEEE Transactions on Industrial Application, 1994, 30(3):746-759. [3] 王振永, 王然冉. 电机的数学模型和参数辨识[M]. 北京: 机械工业出版社, 1991. [4] 方崇智, 萧德云. 过程辨识[M]. 北京: 清华大学出版社, 1988. [5] Chiasson J N. Modeling and High-performance Control of Electric Machines[M]. New Jersey: John Wiley & Sons, 2005.
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