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Design of State Estimation Based Model Predictive Controller for a Two Tank Interacting System

机译:基于状态估计的两个坦克交互系统模型预测控制器的设计

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Model Predictive Control (MPC) schemes are now widely used in process industries for the control of key unit operations. In this paper, a state estimation based model predictive controller for nonlinear system has been proposed. The model predictive controller is designed by considering a state space model and an extended Kalman filter to predict the future behaviour of the system. The efficacy of the proposed MPC scheme has been demonstrated by conducting simulation studies on a two tank interacting system, a MIMO system.The analysis of the extensive dynamic simulation studies revealed that, the MPC scheme formulated produces satisfactory performance for servo operation.
机译:模型预测控制(MPC)计划现在广泛用于控制关键单元操作的过程行业。本文提出了一种基于状态估计的非线性系统模型预测控制器。模型预测控制器是通过考虑状态空间模型和扩展卡尔曼滤波器来设计以预测系统的未来行为。通过对两个罐交互系统进行模拟研究,拟议的MPC方案的效果证明了一种用于两个坦克交互系统,MIMO系统。广泛的动态仿真研究的分析显示,制定的MPC方案为伺服操作产生了令人满意的性能。

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