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Optimization methodology for control parameter of PI based on chaos prediction of electric powertrain

机译:基于动力总成混沌预测的PI控制参数优化方法

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The electric powertrain is a nonlinear dynamic system, when electric vehicles (EVs) drive under torque control mode, unexpected oscillation of direct-axis current id and quadrature-axis currents iq of PMSM may occur in case of an unreasonable control parameter of PI regulator is set. Thus it influences effective and stable output torque of electric powertrain. The objective of this paper is to optimize the control parameter of PI regulator to improve the precision and stability of output torque of electric powertrain under torque control mode. To achieve the goal, nonlinear dynamic model of electric powertrain under torque control mode was established. Then we predicted the instability domain of control parameter of PI to instruct the optimization. Finally experimental platform was set up to operate the optimization. The optimization results were given to improve the precision and stability of output torque of electric powertrain. The results show that the output torque of PMSM continues to oscillate under EV start-up working condition and limited local oscillation occurs under low speed cruise condition. The electric powertrain cannot perform precise and stable torque control. The control parameter of PI was optimized from kp = 0.1 to kp = 0.18. The electric powertrain perform more stable torque control with more effective output torque after optimization.
机译:电动动力总成是一个非线性动力学系统,当电动汽车(EV)在转矩控制模式下行驶时,直轴电流i d 和正交轴电流i q PMSM。因此,它影响了动力总成的有效和稳定的输出扭矩。本文的目的是优化PI调节器的控制参数,以提高在扭矩控制模式下电动动力总成输出扭矩的精度和稳定性。为了达到该目的,建立了转矩控制模式下的动力总成非线性动力学模型。然后,我们预测了PI控制参数的不稳定性域,以指导优化。最后建立了实验平台进行优化。给出了优化结果,以提高动力总成输出转矩的精度和稳定性。结果表明,在电动汽车起步工作条件下,永磁同步电动机的输出转矩继续振荡,在低速巡航条件下,局限性局部振荡发生。电动动力总成无法执行精确而稳定的扭矩控制。 PI的控制参数从k p = 0.1最佳到k p = 0.18。优化后,电动动力总成可以执行更稳定的扭矩控制,并且输出扭矩更有效。

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