Department of Electrical and Electronics Engineering

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    Design of a dual-layered tilt fuzzy control structure for interconnected power system integrated with DFIG
    (Wiley, 2021-07) Mathur, Hitesh Datt; Mishra, Puneet
    The doubly fed induction generators based wind power plant is extensively used as a renewable energy source; however, their integration with interconnected power systems may cause equal challenges as well. Since such WPPs are decoupled from the grid frequency to operate at maximum power point tracking, hence they cannot participate in effective load frequency control and cause severe deterioration in the frequency regulation of the nonlinear IPS. To address these issues, this article proposes a novel dual-layered tilt fuzzy control structure (DLTFCS), which comprises of a fuzzy tilt integral derivative with a filter as the first layer working in coherence with a fractional order proportional derivative controller as the second layer, together with an inertial frequency support scheme for WPP. The DLTFCS is developed with an intention of efficient handling of nonlinearity and parametric uncertainty of considered IPS in the presence of WPP. Further, a curated hybrid objective function is also proposed, which consists of a weighted combination of integral of time-weighted absolute error and oscillatory measure with the help of an analytical hierarchy process and is optimized by a recently devised salp swarm algorithm. The control performance of the proposed controller has been validated by extensive simulation studies under various scenarios ranging from system parametric variations, uncertainties in generation rate constraint, and governor deadband to significant variations in wind penetration levels. Extensive comparative studies suggested that the proposed control structure provides superior performance over fractional order proportional integral derivative (FOPID) and Fuzzy FOPID controller.
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    Development of fuzzy logic controller for photovoltaic integrated shunt active power filter
    (IOS, 2019-06) Bansal, Hari Om
    This paper presents the design, modeling, and implementation of a photovoltaic (PV) integrated shunt active power filter (SAPF) for clean power generation along with power quality improvement. The system uses fuzzy logic control (FLC) for maximum power point tracking (MPPT) and SAPF control. The proposed system implements synchronous reference frame theory based direct power control strategy using hysteresis control. The system performance is evaluated in real-time under-balanced/unbalanced and nonlinear load conditions using field-programmable gate array (FPGA) based computational engine with different controllers. The performance is observed to be better with FLC as compared to traditional controllers.
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    Optimized adaptive neuro-fuzzy inference system for pH control
    (IEEE, 2013) Bhanot, Surekha; Mohanta, Hare Krishna
    pH control plays an important role in many modern industrial plants due to strict environment regulations. This paper presents fuzzy logic based pH control scheme for neutralization process in which genetic algorithm is used to optimize the various membership functions of fuzzy inference system. Further, using this optimized fuzzy inference system, adaptive neuro-fuzzy inference system for pH neutralization process is developed. Performances of both control schemes are compared for servo and regulatory operations. Results indicate that adaptive neuro-fuzzy inference system based control uses fewer rules as compared to optimized fuzzy logic based control.
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    Self-tuned fuzzy logic control of a pH neutralization process
    (IEEE, 2015) Bhanot, Surekha; Mohanta, Hare Krishna
    On-line implementation of self-tuning mechanism based adaptive fuzzy logic control of a pH neutralization process which takes care of steady state error and time taken to reach steady state under varying operating conditions has been presented in this paper. The pH neutralization system is Armfield pH Sensor Accessory (PCT42) in conjunction with Process Vessel Accessory (PCT41) and Multifunction Process Control Teaching System (PCT40). The proposed adaptive scheme updates the normalized universe of discourse of output fuzzy membership functions with varying scaling factors based on error and change of error values. The speed of response of the adaptive controller is taken care by use of coarse control technique whereas amount of deviation under steady state is accounted with the help of fine control technique. The performance of adaptive scheme is tested for pH control at equivalence point. LabVIEW software is used for online communication, control and display.