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LPV model-based temperature control of thermoelectric device

机译:基于LPV模型的热电装置温度控制

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摘要

A linear parameter varying (LPV) model for a class of nonlinear thermoelectric (TE) system is presented, which provides a relatively simple modeling process and high model accuracy. Identified model parameters are applied to design the adaptive Smith PID controller, which simplifies the computation of the control process owing to the low order of LPV models and the Smith structure. Further more, a multiple reference models (MRM) structure is proposed to design the controller for a class of nonlinear systems with the LPV models like the TE system, introducing a reference model observer (RMO) to generate an appropriate reference model (RM) for the different set-points in order to solve the global tracking problems of the nonlinear systems. The simulation and experimental results show that the proposed model is able to demonstrate the nonlinearity of the TE systems in a wide input domain. The proposed adaptive PID method can also deal with the nonlinear dynamic of the TE systems for the set-point tracking over a large temperature range with improved temperature tracking performances, which reduce the overshoot and improve the transient time.
机译:提出了用于一类非线性热电(TE)系统的线性参数变化(LPV)模型,该模型提供了相对简单的建模过程和较高的模型精度。使用确定的模型参数来设计自适应Smith PID控制器,由于LPV模型的低阶和Smith结构,简化了控制过程的计算。此外,提出了一种多参考模型(MRM)结构,以使用LPV模型(如TE系统)设计用于一类非线性系统的控制器,并引入了参考模型观察器(RMO)来生成适当的参考模型(RM)。不同的设定点,以解决非线性系统的全局跟踪问题。仿真和实验结果表明,所提出的模型能够在较宽的输入域内证明TE系统的非线性。所提出的自适应PID方法还可以处理TE系统的非线性动态,以在较大温度范围内跟踪设定点,并改善温度跟踪性能,从而减少过冲并改善瞬态时间。

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