Prof. Dr. Santosh Kumar Choudhary
Manipal Institute of Technology, Manipal, India
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Academic Career Length
12Years (2015-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications19 October 2016 in International Journal of Modelling and Simulation
Journal Article
Santosh Kumar ChoudharyIn this article, optimal feedback control of the twin rotor multiple input–multiple output (MIMO) system is investigated. The twin rotor MIMO system is a benchmark aero-dynamical laboratory model having strongly nonlinear characteristics and unstable coupling dynamics which make the control of such system for either posture stabilization or trajectory tracking a challenging task. This article first briefs the mathematical model of the twin rotor MIMO system and then illustrates the basic idea and technical formulation for controller design. The paper briefly explains the mixed sensitivity design method for feedback control of the twin rotor multiple input–multiple output system laboratory model. This approach has been considered in order to assure high control performance of the system. The simulation results show that the investigated controller has both static and dynamic performance, therefore the stability and the quick control effect can be obtained simultaneously for the twin rotor MIMO system.
10 October 2016 in International Journal of Intelligent Unmanned Systems
Journal Article
Santosh Kumar ChoudharyPurpose: The purpose of this paper is to investigate an optimal control solution with prescribed degree of stability for the position and tracking control problem of the twin rotor multiple input-multiple output (MIMO) system (TRMS). The twin rotor MIMO system is a benchmark aerodynamical laboratory model having strongly non-linear characteristics and unstable coupling dynamics which make the control of such system for either posture stabilization or trajectory tracking a challenging task. Design/methodology/approach: This paper first describes the dynamical model of twin rotor MIMO system (TRMS) and then it adopts linear-quadratic regulator (LQR)-based optimal control technique with prescribed degree of stability to achieve the desired trajectory or posture stabilization of TRMS. Findings: The simulation results show that the investigated controller has both static and dynamic performance; therefore, the stability and the quick control effect can be obtained simultaneously for the twin rotor MIMO system. Originality/value: The articles on LQR optimal controllers for TRMS can also be found in many literatures, but the prescribed degree of stability concept was not discussed in any of the paper. In this work, new LQR with the prescribed degree of stability concept is applied to provide an optimal control solution for the position and tracking control problem of TRMS.
2 October 2015 in International Journal of Modelling and Simulation
Journal Article
Santosh Kumar ChoudharyThis article studies the linear quadratic regulator (LQR)-based optimal control law for chaotic dynamical system. First, we show a systematic and effective framework for modelling of chaotic system by considering the dynamics of bouncing ball on sinusoidally oscillating surface and explore the similarity between dynamics of the standard chaotic map and bouncing ball dynamics. Then we investigated the discrete LQR optimal control technique to the control of chaotic system. The investigated design method is conceptually simple and computationally efficient. The effectiveness of the design method is demonstrated by simulation results.
19 June 2015 in International Journal of Dynamics and Control
Journal Article
Santosh Kumar Choudhary1 January 2020 in International Journal of Modelling, Identification and Control
Journal Article
KRKaushik Raj
Kaushik Raj
Santosh Kumar ChoudharyVMVenkatesan Muthukumar
Venkatesan Muthukumar
In this paper, a robust finite-time sliding mode control (SMC) of the twin rotor MIMO system (TRMS) is discussed. This helicopter laboratory model is highly nonlinear in characteristics and coupling dynamics between main and tail rotors. The main purpose of this paper is to investigate finite-time SMC for pitch and yaw angles of TRMS, either for posture stabilisation or trajectory tracking. Moreover, these angles are used commonly to determine the hovering posture of a helicopter. The paper first briefs the dynamical model of TRMS and then it adopts a finite-time SMC technique to achieve the desired trajectory or posture stabilisation. Numerical simulation results are demonstrated and verify the effectiveness of the control technique.
1 April 2019
Conference Paper
Santosh Kumar ChoudharyThis paper investigates negative imaginary system theory based control solution for the position and attitude control problem of 3 degrees of freedom (DOF) helicopter system. The 3 DOF helicopter is a benchmark laboratory model and it demonstrates open-loop unstable dynamics. Moreover, this systems also faces uncertainty because of coupling between its roll angle and travel rate. The control of such complex aero-dynamical system has been a challenging task for the control community. The article adopts a newly developed negative imaginary feedback control concept. The main objective of the paper is to apply negative imaginary theory based positive feedback control scheme to obtain the desired attitude (elevation angle, roll angle) and position (travel rate) as the outputs of the helicopter systems. The robust properties of the feedback system are demonstrated and simulation results of the paper show that stability and tracking property can be accomplished at the same time.
About Me
Santosh Kumar Choudhary is currently an Assistant Professor at the Manipal Institute of Technology, a constituent unit of Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India—an Institute of Eminence declared by the Government of India. He received a PhD degree in Systems Modeling & Control from Manipal Academy of Higher Education and holds an M.Tech degree in Astronomy & Space Engineering from the Manipal Institute of Technology, MAHE, Manipal, Karnataka. Prior to this, he graduated with a B.Sc (Hons) and an M.Sc in Mathematics from A.N. College, Patna, Bihar.
He is an applied mathematician/engineering researcher actively involved in research work related to mathematical modeling and control of dynamical systems, with an emphasis on aerospace dynamic systems. His areas of research in Applied Mathematics include Control & Optimization, Dynamical Systems, Orbital Mechanics, H∞ Control theory, Optimal Control, Scientific Computing, Modeling & Simulation, and MATLAB Programming.
He has expertise in MATLAB/SIMULINK, MATHEMATICA, MAPLE, and C/C++, frequently utilizing them in his research for numerical simulations and computing. He is also a certified Python programmer.
Furthermore, he is a member of the Institution of Engineers (India), the Indian Society of Technical Education (ISTE), and the Indian Society of Systems for Science and Engineering (ISSE).
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