Showing papers by "Anindita Sengupta published in 2017"
TL;DR: To overcome the wind up phenomenon by considering the saturation due to presence of actuator, anti-wind up technique is applied to the conventional PI controller and compared to the wavelet packet transform based controller and packet controller is found better than the other ones.
Abstract: A new controller based on discrete wavelet packet transform (DWPT) for liquid level system (LLS) has been presented here. This controller generates control signal using node coefficients of the error signal which interprets many implicit phenomena such as process dynamics, measurement noise and effect of external disturbances. Through simulation results on LLS problem, this controller is shown to perform faster than both the discrete wavelet transform based controller and conventional proportional integral controller. Also, it is more efficient in terms of its ability to provide better noise rejection. To overcome the wind up phenomenon by considering the saturation due to presence of actuator, anti-wind up technique is applied to the conventional PI controller and compared to the wavelet packet transform based controller. In this case also, packet controller is found better than the other ones. This similar work has been extended for analogous first order RC plant as well as second order plant also.
7 citations
TL;DR: From hardware results, this controller is shown to perform better than both the discrete wavelet transform (DWT) based proportional integral controller and PI controller and it can handle noise more efficiently.
4 citations
TL;DR: In this article, a low cost high resolution yarn characterization unit with optical sensor was developed, which can measure yarn average diameter, diameter variation over length, variation of yarn mass, yarn faults, number of hairs at specific distances from yarn core, mean absolute deviation and coefficient of variation in a single run.
3 citations
01 Dec 2017
TL;DR: Simulation examples are included to show the superiority of the proposed estimator over Maclaurin PID disturbance estimator proposed by Liu et.
Abstract: This paper discusses Smith predictor scheme for controlling processes with time delay The tuning method used here had improved capacities of smith predictor designed by Liu etal for reference input tracking in presence of load disturbances A new optimization technique, Grey Wolf Optimization Based disturbance estimator had been proposed here and has been used for tuning the parameters of the disturbance estimator and the same optimization algorithm has been used for optimizing the set point tracking controller for the plant Comparison is done between Harmony search, Ant Colony and Particle Swarm Optimization for estimating the same parameters Simulation examples are included to show the superiority of the proposed estimator over Maclaurin PID disturbance estimator proposed by Liu et al as well as the other optimizing algorithm quoted above
3 citations
04 Nov 2017
TL;DR: Simulation results show good robustness properties in presence of known external disturbances with BFOA based Adaptive Sliding Mode Controller as compared to that shown by conventional PID controller.
Abstract: In this paper, An Adaptive Sliding Mode Controller based on bacterial foraging optimization algorithms is proposed for tracking angular position of inverted pendulum. The sliding mode control method is applied for tackling the system nonlinearity and unmodeled dynamics. Adaptive control is usually used to control a system with time varying parameters, parameter uncertainties and unbounded disturbances. Bacterial foraging optimization algorithms are used to optimize gains of Sliding Mode Controller. Simulation results show good robustness properties in presence of known external disturbances with BFOA based Adaptive Sliding Mode Controller as compared to that shown by conventional PID controller.
1 citations
04 Nov 2017
TL;DR: Simulation of two plants are included to show the effectiveness of the proposed smith predictor scheme, and comparisons had been made on the tuning capability of different optimization algorithms for estimating the controller and estimator coefficients.
Abstract: The paper presents smith predictor scheme for the control of systems having dead time or time delay. The control algorithm has improved the smith predictor scheme of Liu et al. for reference inputs in proximity with load disturbances. Grey Wolf Optimization technique has been used for tuning the parameters of the controller and disturbance estimator for the discussed plant. Comparisons had been made on the tuning capability of different optimization algorithms for estimating the controller and estimator coefficients (disturbance estimator plus setpoint tracking controller). Simulation of two plants are included to show the effectiveness of the proposed technique