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MODEL PREDICTIVE CONTROL FOR A SYNCHRONOUS MACHINE WITH A PULSED, CONSTANT-POWER LOAD

机译:具有脉冲,恒功率负载的同步机的模型预测控制

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In this paper, the problem of controlling synchronous machines driving high pulsed, constant-power loads (CPLs) with fast ramp rates is investigated. Using a PI controller to provide offset-free tracking of the generator voltage in steady state, we design controllers using Model Predictive Control which act as a reference governor to ensure power quality constraints are met during transients. However, it is shown that a standard linear MPC algorithm creates a steady state offset due to model mismatch at off-nominal power levels resulting in loss of power quality. This problem is corrected by creating multiple linear models of the generator dynamics linearized around the nominal and high power operating points. We then demonstrate that a Hybrid Model Predictive Control algorithm (using the constrained picccwise affine prediction model) exhibits zero offset during the high power pulse. The Hybrid MPC algorithm also keeps the generator voltage within the required constraints. This approach has the benefit of correcting the model mismatch issue without using a computationally expensive nonlinear Model Predictive Control algorithm. Future work will focus on implementing and testing this hybrid MPC controller on a generator via explicit MPC techniques.
机译:本文研究了控制驱动高脉冲的同步机的问题,具有快速斜坡速率的驾驶高脉冲恒压(CPLS)。使用PI控制器在稳态上提供无偏移的发电机电压跟踪,我们设计使用模型预测控制的控制器,该控制器充当参考调速器,以确保在瞬态期间满足电力质量约束。然而,示出标准线性MPC算法由于在非称义功率水平处产生模型不匹配而产生稳态偏移,从而导致电能质量丢失。通过在围绕标称和高功率操作点围绕标称和高功率操作点线弹性的发电机动力学的多个线性模型来校正此问题。然后,我们证明了一种混合模型预测控制算法(使用受约束的PICCCOWE仿射模型)在高功率脉冲期间呈现零偏移。混合MPC算法还将发电机电压保持在所需的约束内。此方法具有纠正模型不匹配问题而不使用计算昂贵的非线性模型预测控制算法的益处。未来的工作将专注于通过显式MPC技术在发电机上实现和测试该混合MPC控制器。

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