Second Order System Performance Analysis based on Additional Actuating Signal Control Strategy

B. Datta, Arnab Das, Achintya Das
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Abstract

In the present paper, a AAS based Control strategy has been implemented as an adaptive control technique. The transfer function representing the dynamics of a plant was obtained. The system was modeled in Simulink and simulated without being compensated. The output response in terms of concentration to unit step input revealed that a compensator was needed to get better transient characteristics performance. In order to achieve the desired response from the Control System, in excess of the normal Actuating Signal, an introduction of an compensating signal is proposed. This signal, which may be called the Additional Actuating Signal (AAS), helps in controlling output in the control system, in the systems working environment. A Model Reference Adaptive Controller (MRAC) was designed along with AAS, based on the MIT rule and incorporated with the plant. The Simulink model of the MRAC control for the plant is developed. The simulation results obtained showed that the modified controller provided meticulous and improved tracking error for the range of gain selected, with gain adjusted from 6 to 48 providing the most effective and meticulous tracking error performance.
基于附加作动信号控制策略的二阶系统性能分析
本文提出了一种基于AAS的自适应控制策略。得到了代表植物动力学的传递函数。在Simulink中对系统进行了建模,并进行了无补偿仿真。对单位阶跃输入浓度的输出响应表明,需要一个补偿器来获得更好的瞬态特性。为了从控制系统获得期望的响应,在正常驱动信号之外,提出了一个补偿信号的引入。该信号可称为附加致动信号(AAS),有助于控制系统在系统工作环境中的输出。在AAS的基础上,基于MIT规则设计了模型参考自适应控制器(MRAC),并与被控对象相结合。建立了该装置MRAC控制的Simulink模型。仿真结果表明,改进后的控制器在选择的增益范围内提供了细致和改进的跟踪误差,增益从6调整到48提供了最有效和细致的跟踪误差性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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