Multivariable control of unstable systems by goal attainment method

Ravikumar, N.; ShekarBesta, Chandra; Chidambaram, M.

doi:10.1109/tima.2017.8064806

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…As addressed in Moradi (2014), the design specifications of a higher-order 4 × 4 system were attained with the PID controller designed with a differential algorithm. Various design methods for both centralized and decentralized controller design methods have been explored in Boyd et al (2016) and Ravikumar et al (2017). The controllers are designed by minimizing the sensitivity of the closed-loop system, as presented in Boyd et al (2016).…”

Section: Introductionmentioning

confidence: 99%

“…The controllers are designed by minimizing the sensitivity of the closed-loop system, as presented in Boyd et al (2016). Meanwhile, Ravikumar et al (2017) focuses on the design phase by considering the defined goals. The specifications of gain and phase margins are used in designing decentralized controllers as addressed in Hušek (2013) and Maghade and Patre (2012).…”

Section: Introductionmentioning

confidence: 99%

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A graphical tuning rule for higher-order systems with H∞ complementary sensitivity function framework

Govind,

Mahapatra,

Mahapatro

2024

Transactions of the Institute of Measurement and Control

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This paper presents a novel approach for designing a decentralized control law for higher-order systems using the [Formula: see text] complementary sensitivity function (CSF) framework. Higher-order systems often exhibit complex dynamics and interactions between the variables, and hence, sophisticated control strategies are required to attain the desired performance. The proposed method exploits the robustness properties of the [Formula: see text] CSF to achieve effective decentralized control for higher-order systems. The CSF approach focuses on shaping the sensitivity of the system to disturbances, thereby minimizing the impact on system performance. The decentralized nature of the control law allows for independent control of each subsystem, reducing the complexity associated with higher-order systems. Furthermore, the controller parameters are determined graphically by enforcing the [Formula: see text] robust criterion. The effectiveness of the proposed methodology is demonstrated through simulations on higher-order systems from various domains, including process control and other systems. Comparative evaluations against existing control methods highlight the superiority of the [Formula: see text] CSF-based decentralized control law in terms of robustness and performance.

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