BITS Faculty Publications

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Subject: search.filters.subject.Robust control

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    Design, Fabrication, DSP Implementation and Comparison of Simulated Performance of a Linear Induction Motor for PI and Hα Control Schemes
    (Maglev, 2004-10) Mukherjee, Bijoy Krishna
    From conveyors to the high-speed MAGLEV vehicles, from knitting machines to the sophisticated robotic systems, Linear Induction Motors (LIMs) have got a wide range of applications. They have got all the potential to replace the age-old belt-pulley driven systems completely in the coming years. In the present work, a flat, single sided, short primary LIM, which can be used as a linear propulsion system, has been designed and the same has been fabricated. Thereafter PI controllers are designed to implement the field oriented control scheme for use in variable speed drives. The whole system is simulated in the SIMULINK environment of MATLAB and the simulation results are shown. Since the PI controllers cannot handle model uncertainties and parameter variation effects, a robust controller has also been designed. Implementation of the whole scheme is to be done using a DSP in TMS320LF2407A platform. Dry run of the programs has already been done. The inverter is under construction.
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    A fractional order fuzzy PID controller for binary distillation column control
    (Elsevier, 2015-12) Mishra, Puneet
    Expert and intelligent control schemes have recently emerged out as a promising solution with robustness which can efficiently deal with the nonlinearities, along with various types of modelling uncertainties, present in different real world systems e.g. binary distillation column. This paper is an attempt to propose an intelligent control system which takes the form of a fractional order fuzzy proportional–integral–derivative (FOFPID) controller which is investigated as a solution to deal with the complex dynamic nature of the distillation column. The FOFPID controller is an extension of an existing formula based self tuning fuzzy proportional integral controller structure, which varies its gains at run time in accordance with the instantaneous error and rate of change of error. The FOFPID controller is a Takagi–Sugeno (TS) model based fuzzy adaptive controller comprising of non-integer order of integration and differentiation operators used in the controller. It has been observed that inclusion of non-integer order of the integration and differentiation operators made the controller scheme more robust. For the performance evaluation of the proposed scheme, the performance of FOFPID controller is compared with that of its integer order counterpart, a fuzzy proportional–integral–derivative (FPID) controller. The parameters of both the controllers were optimized for minimum integral of absolute error (IAE) using a bio-inspired global optimization algorithm, genetic algorithm (GA). Intensive LabVIEWۛ simulation studies were performed which included setpoint tracking with and without uncertainties, disturbance rejection, and noise suppression investigations. For testing the parameter uncertainty handling capability of the proposed controller, uncertain and time varying relative volatility and uncertain tray hydraulic constant were applied. Also, for the disturbance rejection studies, intensive simulations were conducted, which included two most common causes of disturbance i.e. variation in feed composition and variation in feed flow rate. All the simulation investigations clearly suggested that FOFPID controller provided superior performance over FPID controller for each case study i.e. setpoint tracking, disturbance rejection, noise suppression and parameter uncertainties.
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    Robust Controller Synthesis for Frequency Regulation in Islanded Microgrid
    (IEEE, 2017) Mathur, Hitesh Datt; Bhanot, Surekha
    Frequency regulation in MG using conventional PID controllers becomes more challenging in the presence of stochastic load and uncertainty in system parameters caused by dynamic perturbation. So, there is a need for a robust controller with acceptable performance and stability for regulating the frequency in MG. The dynamic perturbations include changes in inertia constant and damping coefficient of the power system, which directly affect the frequency of the MG. In this paper, structured H∞ synthesis has been done for robust frequency control in islanded MG. The sources used in MG for compensating the load demand are fuel cell, diesel engine generator and micro-turbine. The robustness and performance of H∞ based controller is validated in the presence of parametric uncertainty and load disturbance caused by stochastic nature of load. The synthesized H∞ based controller is tested for robust stability and performance against ± 50% perturbation of inertia constant and damping coefficient of power system. Simulation results of complete system is also validated with hardware using dSPACE 1104 and control desk
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    Forecast-based modeling and robust frequency control of standalone microgrids considering high penetration of renewable sources
    (Wiley, 2020-12) Bhanot, Surekha; Mathur, Hitesh Datt; Mukherjee, Bijoy Krishna
    This article proposes forecast-based modeling and robust frequency control strat-egy in isolated microgrids (MGs) to improve its stability. The intermittency andvariability in renewable generation is problem for its smooth integration to MGsconsidering frequency stability. Continuous rise in penetration levels of renew-able energy sources (RESs) is the main motivation behind forecast-based model-ing and controller design for MGs. The disturbances that affect the frequency inthe MG may come from the load side and/or the generation sides. In MGs, atthe generation side, the forecast of power from RESs is usually obtained to get arough estimate of available renewable power. The forecasted power always dif-fers from the actual one, so the secondary frequency controller may get over-burdened due to forecast error resulting in abnormal frequency deviation thatmay lead to unstable power system. The proposedH∞based robust controldesign considers the forecast error which improves the system stability and per-formance against disturbances coming from load/generation side.