Artificial Time Delay based Adaptive Robust Fault Tolerant Control for RLV During Re-entry Phase

Sarkar, Rajasree; Mukherjee, Joyjit; Patil, Deepak U.; Kar, Indra Narayan

doi:10.1109/med48518.2020.9182892

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Moreover, the method is easy to implement and gives a relatively fast rate (Garg et al, 2010). The PSM technique has been extensively used for many applications such as spacecraft attitude control problem (Kang and Bedrossian, 2007), regulation of robotic manipulator (Liu and Li, 2014), motion planning for autonomous vehicle (Gong et al, 2009), reusable launch vehicle (Sarkar et al, 2020), military and industrial applications (Banerjee et al, 2020;Gong et al, 2007), disease control (Banerjee et al, 2019;Salik et al, 2020) among others. However, the implementation of PSM for the regulation and time-energy minimization problem of the AMB system has not been explored previously.…”

Section: Introductionmentioning

confidence: 99%

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

Saha

Banerjee

Amrr

et al. 2021

Transactions of the Institute of Measurement and Control

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Active magnetic bearings (AMB) are used to suspend the rotor freely inside the stator to avoid any physical contact between them. Thus, it helps in significantly reducing the wear and tear that may cause a system breakdown. With the advancement of power electronics and the implementation of advanced control techniques, the use of AMB in industrial applications has increased. This paper proposes an optimal control strategy for the five degree of freedom (DOF) AMB system. The time-energy consumption of input is minimized by the application of a relatively new optimal control method called the pseudospectral method (PSM). Since the AMB is a nonlinear system, therefore the implementation of classical optimal control strategies becomes challenging. Thus, the PSM first transforms the optimal control problem at non-uniform nodes and converts it into a nonlinear programming problem, which is relatively easier to tackle. The PSM, as demonstrated in this paper, is able to find optimal solutions using relatively fewer grid points which in turn reduces the computational time and converges to the solution faster. The simulation analysis for the AMB system using two different types of PSM, that is, Legendre PSM and the Chebyshev PSM illustrates the optimal performance of the proposed strategy.

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Section: Introductionmentioning

confidence: 99%

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

Saha

Banerjee

Amrr

et al. 2021

Transactions of the Institute of Measurement and Control

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“…The effectiveness of this method, along with its simple structure has resulted in TDC being extensively used for a wide variety of applications. Some of these areas where TDC has been used for the last two decades include robot manipula-tors [30], synchronous motors [31], wheeled mobile robots [32], biped robot [33], shape memory alloys [34], unmanned aerial vehicle [35], missile-target engagements [36], reusable launch vehicles [37,38] and spacecraft attitude control [39] among others. Further, studies have been conducted which show that TDC demonstrates better performance capabilities when compared to certain adaptive sliding mode controllers [40] and PID control [41].…”

Section: Introductionmentioning

confidence: 99%

Communication constrained robust guidance strategy using quantized artificial time delay based control with input saturation

Banerjee

Amrr

Sarkar

et al. 2021

IET Control Theory & Appl

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This work proposes the use of a logarithmic quantizer to minimize the computational load on the onboard processor of missiles. The quantizer output discretizes the continuous guidance command to a finite set of predefined discrete levels. This in turn puts an end to the need for installing a powerful state of the art modern processor onboard a missile, while enabling designers to install a comparatively cost efficient and compact processor. To include robustness properties, the proposed guidance strategy adopts the artificial time‐delayed control (TDC) philosophy. The use of TDC methodology eliminates the conservative assumptions of a priori knowledge about uncertainty bounds as required by most state‐of‐the‐art robust control schemes. Thus, the proposed guidance law is able to achieve interception even in the presence of uncertainties while significantly reducing control updates due to the use of input quantizer. Input saturation is also considered for the proposed quantized time‐delay control (QTDC) based guidance strategy. The Uniformly Ultimately Bounded (UUB) convergence of the closed‐loop system states is demonstrated through the Lyapunov theory. Simulation studies involving various engagement scenarios and a comparative performance study of the QTDC guidance scheme with the conventional periodic time‐triggered TDC technique are provided to highlight the efficacy of the proposed approach. In this work, a quantized input time delay based control is used to significantly reduce the control updates while designing an efficient robust control strategy. A sense of time‐energy efficiency is introduced for the overall system and input saturation is also considered.

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Time-Delayed Control for Planar Snake Robots

Mukherjee

Kar

Mukherjee

2021

Adaptive Robust Control for Planar Snake Robots

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Artificial Time Delay based Adaptive Robust Fault Tolerant Control for RLV During Re-entry Phase

Cited by 4 publications

References 14 publications

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

Communication constrained robust guidance strategy using quantized artificial time delay based control with input saturation

Time-Delayed Control for Planar Snake Robots

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