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Shubham Khandelwal - IEEE Xplore Author Profile

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This paper presents a generalized formulation of a decoupling scheme for n × n multivariable processes. The proposed K-Adj dynamic decoupling builds on deriving the decoupler based on the adjoint of the process transfer function matrix. The decoupler is designed such that it contains lesser dynamics yet ensures a performance close to the ideal decoupling. The proposed scheme always ensures the rea...Show More
Designing fixed order controllers for multivariable systems is one of the most important and challenging problems in process industries. Simple control design techniques, which are applicable to a wide range of small and large scale processes, must be developed. With this motivation, a decoupling control design method well suited for large scale systems is proposed in this manuscript. The proposed...Show More
Encountering multivariable systems in process industries is quite common. Along with effectiveness and robustness, simplicity and easy scalability are the utmost requirements expected in a control system design. In this regard, we propose the Detuning Iterative Continuous Cycling (DICC) method for decentralized PI control of multi-input multi-output (MIMO) processes. The proposed DICC design utili...Show More
A centralized PI control design methodology with easy applicability to small as well as large scale MIMO processes is proposed in this manuscript. The gain and phase margin tuning rule is deployed here to design the diagonal (D) PI controllers for the simple effective transfer function models (approximated for effective open-loop transfer functions). While accounting for the input-output coupling,...Show More
Controlling MIMO processes in the face of multivariable interactions is one of the most challenging problems in process industries. While the interactions on one hand limits the direct applicability of SISO control design techniques, the complicated effective open-loop transfer functions on the other hand poses challenges in the PI controller tuning. In this paper, simplified decoupling based cont...Show More
With the benefits of suppressing the interaction effects in a multivariable system, the decoupling control brings in several other challenges and difficulties. For TITO processes, the decoupling control remains simple and has been demonstrated in the earlier works. But as the dimensionality of the system increases, the complexities in the decoupling control blows up differently for various decoupl...Show More
This paper presents an optimization based detuning parameter design method for tuning decentralized PI controllers for a multivariable process. The interactions, existing between the process input-output variables, make the control of MIMO processes a challenging problem. In this work, the MIMO control design problem is formulated into an optimization framework and the differential evolution appro...Show More
Most of the modern industries have multivariable processes wherein interactions exist. As the process outputs and inputs are coupled, designing controller for MIMO processes is a challenging task. The effective open-loop transfer functions (EOTFs) between the paired process input-output variables have complex high order dynamics. While many of the decoupling control methods uses effective transfer...Show More
With continuous depletion of conventional sources of energy, Wind Energy Conversion Systems (WECSs) are turning out to be one of the major players with immense potential to meet the future energy demands. These WECSs are quickly becoming primary source of energy in coastal regions, islands, where they operate in autonomous mode. In this paper, a control strategy for controlled power extraction fro...Show More
Most industrial processes being MIMO have multivariable interactions, which makes controller design a challenging task. As one input can potentially affect all outputs, a controller action in one loop could destabilize other loops. In this paper we explore the possibility of designing a decentralized PI controller for a multivariable process using SISO tuning rules. The objective is to identify if...Show More