Showing papers by "Anindita Sengupta published in 2021"
08 Jan 2021
TL;DR: In this paper, a fractional order intelligent controller (FOIC) using packet wavelet transform in discrete demesne for laboratory scale single tank liquid level system (LLS) is presented.
Abstract: This paper addresses the application of fractional order integrator in multiresolution controller to design new fractional order intelligent controller (FOIC) using packet wavelet transform in discrete demesne for laboratory scale single tank liquid level system (LLS). The essence of this approach is to reduce the complexity of integer order packet controller as well as to achieve the better tracking performance compared to fractional order proportional-integral (FOPI) controller, fractional order discrete wavelet based controller as well as integer order packet controller. In this paper, the effects of this new FOI controller are studied and NI LABVIEW based simulation results are shown. The results on LLS problem show that this fractional order simple tree structured packet controller (FOIC) achieves better tracking performance i.e. lower steady state error with zero overshoot compared to its integer order version as well as FOPI controller. Also, the results depict its performance efficacy i.e. faster dynamic response over fractional order discrete wavelet controller and it provides better noise rejection potency by improving signal to noise ratio than FOPI controller.
3 citations
10 May 2021
TL;DR: A novel modular estimation approach for lateral vehicle and tire dynamics using a simplified vehicle model and a non-linear estimation algorithm and results show that the proposed system significantly improve the accuracy and speed of estimation, as well as stable performance in closed loop control.
Abstract: The paper introduces a novel modular estimation approach for lateral vehicle and tire dynamics using a simplified vehicle model and a non-linear estimation algorithm. A dynamics-oriented representa...
1 citations
1 citations
02 Apr 2021
1 citations
08 Jan 2021
TL;DR: In this paper, the effective transfer function method is used for decentralized control of multi-input multi-output (MIMO) systems, which is compared with a centralized control which uses an interaction measure approach based on Hankel Interaction Index Array.
Abstract: The design of controllers for multi-input multioutput systems are always complicated and difficult as compared to single-input single-output systems due to the interactions between inputs and outputs. These interactions are addressed in a quantitative manner using Interaction Measures. For ease of designing, the complex multi-input multi-output systems are assumed to be divided into several equivalent single loops and then the controllers are designed for these single loops differently. To simplify the tuning in case of failure tolerant systems, the decentralized controllers are used. The effective transfer function method is used for decentralized control of multi-input multi-output in this paper. This decentralized control method is compared with a centralized control which uses an interaction measure approach based on Hankel Interaction Index Array. Examples using both the methods are employed to show the effectiveness of the decentralized method over the centralized method. The effectiveness is shown by comparing the rise time, settling time and overshoot of the responses obtained from both the methods.