Nilanjan Patra

Nilanjan Patra
Techno India Saltlake | TICOLLEGE · Department of Electrical Engineering

Ph.D. (Engg.)

About

16
Publications
10,119
Reads
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81
Citations
Citations since 2016
6 Research Items
60 Citations
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
Additional affiliations
May 2013 - present
Jadavpur University
Position
  • Senior Researcher
June 2011 - June 2013
National Institute of Science & Technology
Position
  • Professor (Assistant)
Education
May 2013 - May 2019
Jadavpur University
Field of study
  • Estimation and Control

Publications

Publications (16)
Article
An improved nonlinear adaptive state estimator called Adaptive Smooth Variable Structure Filter ASVSF has been proposed and its algorithm described. ASVSF extends the functionality and performance of a previously reported robust smooth variable structure filter (SVSF) with optimal boundary layer (SVSF-OBL). Improvement in performance includes the p...
Article
Full-text available
Tracking of manoeuvring subsonic aerospace vehicles has traditionally been handled by state estimators. Ordinary state estimators perform poorly as the concerned process model can only be defined imprecisely. This contribution evaluates and compares the performance of adaptive single mode nonlinear estimators against several versions of other estim...
Conference Paper
Full-text available
This paper discusses the possibilities of employing adaptive filtering techniques for tracking of a civilian aircraft in Air traffic control scenario. Position and velocity of the aircraft have been estimated by Adaptive Kalman filters and Adaptive Extended Kalman filters using Standard Uniform motion (UM) and Coordinated turn (CT) models. The perf...
Presentation
Full-text available
State estimators for aircraft tracking generally use simple model and are often manually tuned by assigning suitable values of the process noise covariance matrix (Q) to compensate for the difference between the assumed simple kinematics and the actual maneuver performed by the aircraft. This work systematically studies the impact of varying Q on t...
Conference Paper
Full-text available
In this paper an adaptive estimation scheme for non-linear system has been characterised where the structure of the process noise of the system depends on the states of the system. A ballistic object tracking problem has been considered here to study the behaviour of such Filters. Adaptive Extended Kalman Filter is used to estimate the position and...
Conference Paper
Full-text available
State estimators for aircraft tracking generally use simple model and are often manually tuned by assigning suitable values of the process noise covariance matrix (Q) to compensate for the difference between the assumed simple kinematics and the actual maneuver performed by the aircraft. This work systematically studies the impact of varying Q on t...
Conference Paper
Full-text available
The paper represents the Kalman Filter based optimal control approach to control the angle of attack of a missile attitude. The Kalman filter is used here to estimate the state of the system. A state feedback Linear Quadratic Gaussian controller which takes the filtered estimated states has been implemented into the system to control the angle of a...
Conference Paper
Full-text available
This paper proposes the design of continuous and discrete optimal controller based on Continuous and Discrete time Linear Quadratic Regulator (CLQR and DLQR). The controllers have been implemented in Pneumatically Actuated Inverted Pendulum system which is basically non-linear in nature. The main aim is to design the optimal controllers with the gi...
Article
Full-text available
In this paper the friction coefficient at contact surface of the road and tire of ground vehicle has been estimated for the anti-lock braking system. The non-linear Dugoff's friction model has been taken here to characterize the tire forces. The main aim is to update the controller with current information about the friction so that the vehicle can...
Article
Full-text available
The anti-lock braking system has become popular in recently developed ground vehicles for the passengers’ active safety. Such system provides wheel smooth controlled braking torque to wheel such that no skidding is ensured during emergency braking. The magnitude of brake force depends on the frictional force. The characteristic of the frictional fo...
Conference Paper
Full-text available
This paper proposes design of optimal controller for inverted pendulum system. The main aim is to control angle of the pendulum and position of the cart simultaneously. Jacobian linearization technique has been used to linearize the system. Linear Quadratic Regulator technique is used here to solve the control problem. The solution of the Riccati i...
Conference Paper
Full-text available
The anti-lock braking system is a technology for passengers' safety in recently developed sophisticated vehicles. It is a part of the braking system of a vehicle which exhibits controlled braking torque to prevent the wheels from locking whenever a hard brake is applied. The highly non-linear dynamics of longitudinal tire force and the uncertain pa...
Conference Paper
Full-text available
The anti-lock braking system has recently become an active safety technology for the ground vehicles. It is an important subsystem in braking system. During severe braking, the wheels of the vehicle become locked and it is very difficult to control the vehicle under this condition in a desired manner. ABS provides a controlled braking torque to mai...
Conference Paper
In this paper, we present a novel design of a wavelet based edge detection technique. Edge detection is an important task in image processing. Edges in images can be mathematically defined as local singularities. Until recently, the Fourier transforms was the main mathematical tool for analyzing singularities. However, the Fourier transform is glob...

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Projects

Project (1)
Archived project
The focus and attention of this research would be to develop improved robust controllers with high tracking and stabilizing performances in the presence of parametric uncertainty and external disturbance for the chosen system configurations for automotive and aerospace applications. Efficient robust controllers are to be evolved based on chosen configuration and performance criteria. The control methodologies such as but not limited to adaptive sliding mode controller, optimal sliding surface design for SMC will be explored. In order to design full state feedback controller, the proposed research would use efficient estimation techniques such as adaptive sliding mode observer, Extended Kalman Filter for estimation of unmeasured parameters in the presence of external noise and disturbances of the system. Attempt would be made to evolve new robust algorithms either by extending the existing methodologies or by using combination of the suitable control and estimation techniques. The evolved control algorithm then would be incorporated into the chosen system configuration for automotive and aerospace applications.