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Robust design and operation of MSF water desalination process using loop-shaping control procedure

机译:采用回路成形控制程序的MSF海水淡化工艺的稳健设计和运行

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This paper presents a two-degree-of-freedom (2-DOF) robust (H-infinity) loop-shaping algorithm to control and stabilize a multi-stage flash (MSF) desalination plant under parametric uncertainties, external disturbances and measurement noises. In this paradigm, the general uncertainty model represented by coprime factor uncertainty (CFU) description is able to cover both unmodeled dynamics and physical parameter variations at all frequencies. By using 2-DOF H-infinity loop-shaping technique, the designers can shape the frequency response of the original model into the desired shape which satisfies both transient response and robustness against various uncertainties. Top brine temperature and recycle brine flow rate have been chosen to stand for MSF plant performance. The simulation results demonstrate that the achieved controller has high stability margin, excellent abilities of disturbances and noises attenuations. In fact, it can deal with approximately 60% of parameter variations, reject at least 84% of exogenous disturbances, and 80% of sensor noises. Note that most currently used controllers reported cannot cope with those high levels of plant uncertainties and disturbances. Thus, it is necessary to implement the advanced control schemes for effectively controlling MSF plants, ensuring high water quality and optimizing water monitoring system. Finally, this robust control method with reduced-order can help prevent machine faults, stabilize MSF plants, optimize energy usage, and lower water production costs, with overcoming various limitations of some conventional controllers.
机译:本文提出了一种两自由度(2-DOF)鲁棒(H-infinity)环路成形算法,以在参数不确定性,外部干扰和测量噪声下控制和稳定多级闪速(MSF)海水淡化厂。在这种范式中,以互素因数不确定性(CFU)描述表示的一般不确定性模型能够涵盖所有频率下的未建模动力学和物理参数变化。通过使用2自由度H无穷大环路整形技术,设计人员可以将原始模型的频率响应整形为所需的形状,该形状既满足瞬态响应又具有针对各种不确定性的鲁棒性。已选择最高盐水温度和循环盐水流速来代表MSF工厂的性能。仿真结果表明,所获得的控制器具有较高的稳定性裕度,优良的抗干扰能力和噪声衰减能力。实际上,它可以处理大约60%的参数变化,抑制至少84%的外部干扰以及80%的传感器噪声。请注意,据报道,大多数当前使用的控制器无法应对那些高水平的工厂不确定性和干扰。因此,有必要实施先进的控制方案,以有效地控制无国界医生的工厂,确保高水质并优化水监测系统。最后,这种功能强大的低阶控制方法可以克服一些常规控制器的各种限制,从而有助于防止机器故障,稳定MSF工厂,优化能源使用并降低水生产成本。

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