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SERVO MODEL PREDICTIVE CONTROL FOR OFFSET-FREE SETPOINT TRACKING

机译:零偏移设定点跟踪的SERVO模型预测控制

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摘要

Offset-free tracking to setpoint signal generated by arbitrary unstable dynamics, such as constant, ramp, sinusoidal and periodic signals, is often required in practical control applications. It is usually achieved in Model Predictive Control (MPC) via the disturbance estimation approach. In this paper, an alternative based on the internal model principle, which is common in linear servo controller design, is adopted for MPC design. Therefore the proposed servo MPC can be interpreted as a hybrid of servo control and MPC. Two variants, depending on the availability of future setpoint information, are presented. Compared to the disturbance estimation approach, it provides a compact and straightforward controller design; offset-free tracking can be achieved even if the future setpoint trajectory is not known to the controller. Simulation studies validate the offset-free tracking property of the proposed MPC algorithm.
机译:在实际控制应用中,经常需要对由任意不稳定动力学产生的设定值信号进行无偏移跟踪,例如恒定,斜坡,正弦和周期信号。通常通过干扰估计方法在模型预测控制(MPC)中实现。本文在线性伺服控制器设计中采用了一种基于内部模型原理的替代方法。因此,提出的伺服MPC可以解释为伺服控制和MPC的混合。根据未来设定值信息的可用性,提供了两种变体。与干扰估计方法相比,它提供了紧凑而直接的控制器设计。即使控制器不知道将来的设定点轨迹,也可以实现无偏移跟踪。仿真研究验证了提出的MPC算法的无偏移跟踪特性。

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