60 research outputs found
Hydrogen Fuel for Future Mobility: Challenges and Future Aspects
No full textNowadays, the combustion of fossil fuels for transportation has a major negative impact on the environment. All nations are concerned with environmental safety and the regulation of pollution, motivating researchers across the world to find an alternate transportation fuel. The transition of the transportation sector towards sustainability for environmental safety can be achieved by the manifestation and commercialization of clean hydrogen fuel. Hydrogen fuel for sustainable mobility has its own effectiveness in terms of its generation and refueling processes. As the fuel requirement of vehicles cannot be anticipated because it depends on its utilization, choosing hydrogen refueling and onboard generation can be a point of major concern. This review article describes the present status of hydrogen fuel utilization with a particular focus on the transportation industry. The advantages of onboard hydrogen generation and refueling hydrogen for internal combustion are discussed. In terms of performance, affordability, and lifetime, onboard hydrogen-generating subsystems must compete with what automobile manufacturers and consumers have seen in modern vehicles to date. In internal combustion engines, hydrogen has various benefits in terms of combustive properties, but it needs a careful engine design to avoid anomalous combustion, which is a major difficulty with hydrogen engines. Automobile makers and buyers will not invest in fuel cell technology until the technologies that make up the various components of a fuel cell automobile have advanced to acceptable levels of cost, performance, reliability, durability, and safety. Above all, a substantial advancement in the fuel cell stack is required
Adaptive and Vision Based Controllers for a Flexible Link Manipulator
No full textIn recent years, Flexible¬Link Manipulators (FLMs) find a wide spectrum of applications including space exploration, defense and medical services owing to several advantages over the rigid manipulators. These advantages are, high payload¬to¬mass ratio, lower actuation, high¬speed operation, more maneuverability and transportability, and reduced power consumption. However, in view of the flexible structure of the links in these manipulators, a number of control complexities arise. Owing to non¬collocated sensors and actuators, FLM behaves as a non¬minimum phase system. In order to represent the dynamics of such FLMs accurately, it is necessary to consider an infinite number of flexible modes in its distributed parameter model. However, to facilitate controller realizability higher order modes are truncated. Model uncertainty due to truncation of flexible modes in its dynamics leads to inaccurate tip¬tracking performance and system stability. Therefore, it is challenging to design a control scheme to achieve perfect tip¬tracking performance with small tracking error. Unlike a rigid robot manipulator, tip¬tracking of FLM is difficult due to distributed link flexure. The tip¬tracking problem of FLM can be divided into two sub¬problems, i.e., (i) tracking of tip position, (ii) suppression of the oscillation in flexible links. To control the tip position and suppress the oscillatory motion, it is necessary to measure tip position accurately. Standard mechanical sensors such as strain gauge, accelerometer, etc. are usually employed for measurement of tip point position. However, direct measurement of tip position by these mechanical sensors has estimation error because of incorrect information of physical parameters. The use of vision sensor can be a better substitute of mechanical sensors because it provides an indirect measurement of tip point deflection. Therefore, the objective of the thesis is to design adaptive and vision based tip¬tracking control strategies for a Two¬Link Flexible Manipulator (TLFM).
To achieve accurate tip¬tracking performance in face of model uncertainties and disturbances, a Sampled¬data Extended State Observer based Backstepping (SD¬ESO based BS) controller is proposed. The convergence and stability of the proposed SD¬ESO based BS controller are investigated by using Lyapunov theory
SD¬ESO gives a promising tip¬tracking performance in face of uncertainties, so, it is also used to estimate the uncertainties arising due to packet dropouts of Network Controlled Two¬link Flexible Manipulator (NC¬TLFM). Further, a Digital Smith Predictor (DSMP) based Backstepping (BS) control scheme has been developed for time¬delay compensation. Convergence and overall stability of the proposed SD¬ESO with DSMP based BS control scheme are investigated using Lyapunov theory. Also, the performance of the proposed controller is compared with conventional Proportional Integral Derivative (PID) and Non-Uniform Predictor¬Observer (NUPO) based controllers using simulation and experimental studies.
Control of FLM using Visual Servoing (VS) is motivating in view of achieving the monitoring of the tip position more precisely. The last decade witnessed a great deal of research interest in visual servoing based control of FLM. The use of camera in flexible manipulator control makes it reliable and faster for a wider range of potential applications.
Among different VS control schemes, Image¬Based Visual Servoing (IBVS) is more effective. However, there are many challenges in IBVS scheme such as singularities in the interaction matrix and local minima in trajectories that affect the system performance in real¬time applications. To resolve these issues, image moment based visual features have been designed for IBVS, and the new two¬time scale IBVS controller based on image moment is developed for tip¬tracking control of TLFM. TLFM dynamics is decomposed into two¬time scale models, namely slow and fast models. A shifted moment based IBVS controller is designed for the “slow” subsystem, and a Linear Quadratic Gaussian (LQG) controller is designed for the “fast” subsystem for tip¬tracking control of TLFM. The effectiveness of the proposed new two¬time scale IBVS controller is evaluated by pursuing numerical simulations.
Although the proposed new two¬time scale IBVS controller based on image moment is developed to address the singularity and local minima issue of IBVS, but sometimes object may leave Field¬of¬View (FOV) that leads to failure of visual servoing task. Therefore, to deal with these issues of IBVS, an Adaptive Intelligent IBVS (AI¬IBVS) controller for TLFM is developed. In the proposed controller, an actor¬critic based off¬policy reinforcement learning controller is developed to keep the object within FOV and shifted moment based IBVS controller to complete the visual servoing task. Simulations have been performed to investigate the performance and robustness of the proposed AI¬IBVS controller.
In the thesis, an adaptive SD¬ESO based BS controller is proposed to handle parameter uncertainty such as un¬model dynamics and disturbance. Further, to improve the rejection of noise that occur due to the usage of the mechanical sensor, a new two¬time scale IBVS controller is proposed. Further, to address the issue of IBVS along¬with retention of object in the FOV, an AI¬IBVS controller is proposed.
The adaptive and vision based controllers proposed in this thesis can be applied to many potential applications such as in hazardous and highly radioactive environments, space exploration, disaster management from a safer distance, and for damping of oscillations for similar vibration systems
Affinity Based Reverse Micellar Extraction and Separation (ARMES)of Bromelain from Pineapple (Ananas comosus)
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Field Assisted Drying for Improving Food Quality
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Hybrid Technology for Food Dehydration
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Observer based backstepping method for tip tracking control of 2-DOF Serial Flexible Link Manipulator
No full textDesign and analysis of differential evolution algorithm based automatic generation control for interconnected power system
No full textAbstractThis paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional-Integral (PI) controller for Automatic Generation Control (AGC) of an interconnected power system. A two area non-reheat thermal system equipped with PI controllers which is widely used in literature is considered for the design and analysis purpose. The design problem is formulated as an optimization problem control and DE is employed to search for optimal controller parameters. Three different objective functions using Integral Time multiply Absolute Error (ITAE), damping ratio of dominant eigenvalues and settling time with appropriate weight coefficients are derived in order to increase the performance of the controller. The superiority of the proposed DE optimized PI controller has been shown by comparing the results with some recently published modern heuristic optimization techniques such as Bacteria Foraging Optimization Algorithm (BFOA) and Genetic Algorithm (GA) based PI controller for the same interconnected power system
A critical assessment of technical advances in pharmaceutical removal from wastewater – A critical review
No full textUse of pharmaceutical products has seen a tremendous increase in the recent decades. It has been observed that more than thirty million tons of pharmaceuticals are consumed worldwide. The used pharmaceutical products are not completely metabolized in human and animal body. Therefore, they are excreted to the environment and remain there as persistent organic chemicals. These compounds emerge as toxic contaminants in water and affect the human metabolism directly or indirectly. This literature review is an endeavour to understand the origin, applications and current advancement in the removal of pharmaceuticals from the environment. It discusses about the pharmaceuticals used in medical applications such diagnosis and disease treatment. In addition, it discusses about the recent approaches applied in pharmaceutical removal including microbial fuel cells, biofiltration, and bio nanotechnology approaches. Moreover, the challenges associated with pharmaceutical removal are presented considering biological and environmental factors. The review suggest the potential recommendations on pharmaceutical removal.The corresponding author Prof. Vinay Kumar is thankful to all the co-authors for their collaborative efforts in writing this paper. This work was supported by Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India.Peer reviewe
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