A new mixed order reduction method using bonobo optimizer and stability equation

Priyajit Dash, M. L. Meena, Girish Parmar, Afzal Sikander
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Abstract

This paper proposes a mixed method of Order Reduction of High Order System (HOS) for both Multi-Input and Multi-Output (MIMO) and Single Input and Single Output (SISO) systems. The combination of a Conventional method of Order Reduction using the Stability Equation Method (SEM) and an optimization-based Order Reduction method using the Bonobo Optimizer Algorithm (BOA) have been utilized. Since an Order Reduction with the least amount of error is always preferred, Integral Square Error (ISE) has been taken into consideration as an Objective Function in this study. The Reduced Order Model (ROM) uses BOA to calculate the numerator coefficients and SEM to estimate the denominator coefficients. A comparison has been made between several performance indices using the well-known previous existing methods and the Proposed mixed method. Step response and Frequency response of the Proposed mixed method and existing methods comparison have been also made. It can be visible from the result that the proposed mixed method outperforms with Prior existing methods.

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利用波诺波优化器和稳定方程的新混合阶减法
本文针对多输入多输出(MIMO)和单输入单输出(SISO)系统提出了一种混合的高阶系统(HOS)阶次削减方法。该方法结合了使用稳定方程法(SEM)的传统阶次削减法和使用 Bonobo 优化算法(BOA)的基于优化的阶次削减法。由于误差最小的阶次缩减总是首选,因此本研究将积分平方误差(ISE)作为目标函数加以考虑。降序模型(ROM)使用 BOA 计算分子系数,使用 SEM 估算分母系数。通过使用著名的现有方法和拟议的混合方法,对几项性能指标进行了比较。此外,还比较了拟议混合方法和现有方法的阶跃响应和频率响应。从结果可以看出,拟议的混合方法优于先前的现有方法。
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