Biplab Satpati | The University of Burdwan (original) (raw)
Papers by Biplab Satpati
2014 IEEE Conference on Control Applications (CCA), 2014
Paper deals with development and implementation of nonlinear model predictive control (NMPC) tech... more Paper deals with development and implementation of nonlinear model predictive control (NMPC) techniques to determine optimal temperature and flow control strategies for a scale down industrial pneumatic conveying and drying system in order to achieve an improved drying characteristics and quick transportation of materials. In this paper predictive control approach is employed using a multivariable Hammerstein model structure. The input nonlinearities involves with the multivariable Hammerstein model are transformed into polytopic description in order to ease the constraint handling in NMPC design. The performance of the predictive controller is studied with stringent design specifications (constraints) and dynamic operating condition of the process under investigation. The results show the effectiveness and precision of the proposed control to track reference signals and a significantly better closed-loop response with the use of minimum control effort.
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), 2019
The paper presents an innovative position detection pathway to facilitate low-cost smart home. In... more The paper presents an innovative position detection pathway to facilitate low-cost smart home. In the work, an energy efficient, low-cost, smart home automation system has been developed and implemented, using dedicated sensors, electronic circuits, and microcontrollers. The key advantage of this contribution is that it supports also semi-automatic operation using Bluetooth and Internet of Things, which is capable of interacting with an android app-based home automation system for manipulating the operating conditions in a unified manner. In contrast with the earlier work addressed in the literature, the developed prototype appears unique as because, it incorporates the concept of automatic position sensing of the persons and their motion detection inside the room. The position detection scheme enables the lights to glow according to the position of persons entered into the automation environment. Thus, the proposed system contributes to the society by developing a cost optimal and energy efficient smart home automation system, which invalidate the need for costly sensors and implementation issues in the existing frameworks.
Indonesian Journal of Electrical Engineering and Computer Science, 2017
<p&amp... more <p>In this paper, modeling and simulation of the solar photo-voltaic (PV) power generator is observed using<strong> </strong>Matlab-Simulink environment. The study the fore-mentioned photovoltaic systems in an efficient manner the knowledge of I-V and P-V characteristics is a prerequisite. Effect of environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.</p>
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016
TENCON 2008 - 2008 IEEE Region 10 Conference, 2008
ABSTRACT This paper presents the design of a robust course controller for a cargo ship interactin... more ABSTRACT This paper presents the design of a robust course controller for a cargo ship interacting with an uncertain environment using particle swarm optimization (PSO) enabled automated quantitative feedback theory. The plant model considers here is Nomotopsilas second order model, with structure parametric variation. In the present paper we have taken Nomotopsilas second order model as it is valid for high frequencies also, while first order model is restricted to low frequencies. In the present paper, the automated PSO enabled QFT design method is used to synthesize a robust course controller that can undertake the exact amount of plant uncertainty and can ensure a proper trade off between robust stability specifications and tracking performance over the entire range of frequencies. The present work is the continuation of the work done by the first author where controller is synthesized manually with the consideration of same process model. But in this article the PSO technique has been employed to tune the controller automatically that can greatly reduces the computational effort compared to manual graphical techniques. It has also been demonstrated that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller.
Systems Science & Control Engineering, 2014
To cite this article: Biplab Satpati, Chiranjib Koley & Subhashis Datta (2014) Robust PID control... more To cite this article: Biplab Satpati, Chiranjib Koley & Subhashis Datta (2014) Robust PID controller design using particle swarm optimization-enabled automated quantitative feedback theory approach for a first-order lag system with minimal dead time,
Industrial & Engineering Chemistry Research, 2014
ABSTRACT The present work uses a scale down industrial pneumatic conveying and drying system in o... more ABSTRACT The present work uses a scale down industrial pneumatic conveying and drying system in order to develop control-oriented models and suitable robust control strategies for the air preheating furnace of the system. A better control system has been achieved by utilizing the benefits of integrating first principle models, system identification techniques and parametric robust control methods. Though these processes are widely used in drying and transmission of different food, pharmaceutical and industrial products in the form of powder like fine-grained material but suitable control oriented thermal models for these processes have not been studied. In the work the air preheating furnace of a pneumatic conveying and drying system is initially modeled with first principles. The novel dynamic models derived from first principles is intended to evaluate dynamic changes in outlet air temperature corresponds to changes in current input to heating coils, air flow velocity and ambient temperature. Then a continuous time (CT) data driven model identification technique based on Simplified Refined Instrumental Variable (SRIV) approach has been applied in order to identify the model parameters as per the desired structures. The identified systems were then validated with different sets of experimental data, and found to be closely correlated. Finally a novel robust control law i.e. refined particle swarm optimization (PSO) enabled automated Quantitative Feedback Theory (QFT) (Refined PSO-QFT) has been proposed and implemented in order to improve the temperature control system of the pneumatic conveying and drying process.
2013 IEEE International Conference on Control Applications (CCA), 2013
ABSTRACT The paper develops a mathematical model of duct air heating process, as widely used in d... more ABSTRACT The paper develops a mathematical model of duct air heating process, as widely used in drying of different materials in the form of powder. In this work, a mathematical model of the duct air heating system containing resistive heating element has been developed for simulation study, by considering one dimensional forced convective heat transport phenomena. Then a Continuous Time (CT) model identification technique based on Instrumental Variation (IV) approach has been applied to the actual duct air heating process, in order to identify the model parameters. The model was intended to evaluate dynamic changes in outlet air temperature corresponds to changes in current through the heating coils, air flow velocity and ambient temperature. The proposed mathematical model has been validated by a set of simulated models obtained from the experimental data collected from the actual setup, involving duct air heating under open loop conditions. The obtained responses of the mathematical model as well as identified system were found to be closely correlated with the experimental responses.
Journal of Optics, 2013
ABSTRACT Optics has proved its successful role in parallel logic, arithmetic or algebraic operati... more ABSTRACT Optics has proved its successful role in parallel logic, arithmetic or algebraic operations. So many different methods on optical data processing were proposed and implemented in last few decades. For implementing the all optical logic and arithmetic devices it needs different types of encoding principle like, polarization encoding principle, frequency encoding principle, intensity encoding principle and phase encoding principle. As the frequency is the basic characteristics of light, so frequency encoding principle is the most reliable one among all other encoding principles. Currently frequency encoding technique is established as a promising one for all optical processing, as frequency of light does not change normally after reflection, refraction, absorption etc. Again Semiconductor optical amplifier (SOA) can be used for different successful frequency conversions. Here in this technique ‘1’ logic state is represented by a frequency ν2 then ‘0’ state is represented by another frequency ν1 instead of intensity variation. In this paper the authors describe the simulation study of the performances of SOA in various optical switches like frequency conversion and add-drop multiplexer.
2014 IEEE Conference on Control Applications (CCA), 2014
ABSTRACT This paper presents a modified Hammerstein-Hammerstein nonlinear online identification m... more ABSTRACT This paper presents a modified Hammerstein-Hammerstein nonlinear online identification method for an industrial air pre-heating furnace involves drying and conveying of materials, by relating set point, error signal, the control variable and process variable in a systematic manner using the prediction error framework. The method developed here to address the gray Hammerstein-Hammerstein estimation problem under closed loop settings. The proposed model is tested on an industrial air heating system under different air flow rate. The obtained responses of the identified system were found to be closely correlated with the experimental responses.
Optik - International Journal for Light and Electron Optics, 2014
Semiconductor optical amplifier (SOA) is used for different successful frequency based switching ... more Semiconductor optical amplifier (SOA) is used for different successful frequency based switching operations. In this paper the authors describe the simulation study of the performances of SOA in various optical switches like frequency conversion, add-drop multiplexer and frequency encoded optical NOR gate, which is one the most important gates in logic family as it is known as one of the universal logic gates. Again, the controlled optical NOR logic operation with semiconductor optical amplifier is also proposed in this paper.
IEEE India Conference, 2008
This paper presents the design of a robust PID controller for load frequency control of non-minim... more This paper presents the design of a robust PID controller for load frequency control of non-minimum phase hydro power plant using particle swarm optimization (PSO) enabled automated quantitative feedback theory (QFT). The plant model considered here is a dynamic model of power system that includes the turbine, governor, load and machine dynamics subjected to control the load frequency in accordance
IEEE India Conference, 2008
This paper presents the design of a robust PID controller for load frequency control of non-minim... more This paper presents the design of a robust PID controller for load frequency control of non-minimum phase hydro power plant using particle swarm optimization (PSO) enabled automated quantitative feedback theory (QFT). The plant model considered here is a dynamic model of power system that includes the turbine, governor, load and machine dynamics subjected to control the load frequency in accordance
2014 IEEE Conference on Control Applications (CCA), 2014
Paper deals with development and implementation of nonlinear model predictive control (NMPC) tech... more Paper deals with development and implementation of nonlinear model predictive control (NMPC) techniques to determine optimal temperature and flow control strategies for a scale down industrial pneumatic conveying and drying system in order to achieve an improved drying characteristics and quick transportation of materials. In this paper predictive control approach is employed using a multivariable Hammerstein model structure. The input nonlinearities involves with the multivariable Hammerstein model are transformed into polytopic description in order to ease the constraint handling in NMPC design. The performance of the predictive controller is studied with stringent design specifications (constraints) and dynamic operating condition of the process under investigation. The results show the effectiveness and precision of the proposed control to track reference signals and a significantly better closed-loop response with the use of minimum control effort.
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), 2019
The paper presents an innovative position detection pathway to facilitate low-cost smart home. In... more The paper presents an innovative position detection pathway to facilitate low-cost smart home. In the work, an energy efficient, low-cost, smart home automation system has been developed and implemented, using dedicated sensors, electronic circuits, and microcontrollers. The key advantage of this contribution is that it supports also semi-automatic operation using Bluetooth and Internet of Things, which is capable of interacting with an android app-based home automation system for manipulating the operating conditions in a unified manner. In contrast with the earlier work addressed in the literature, the developed prototype appears unique as because, it incorporates the concept of automatic position sensing of the persons and their motion detection inside the room. The position detection scheme enables the lights to glow according to the position of persons entered into the automation environment. Thus, the proposed system contributes to the society by developing a cost optimal and energy efficient smart home automation system, which invalidate the need for costly sensors and implementation issues in the existing frameworks.
Indonesian Journal of Electrical Engineering and Computer Science, 2017
<p&amp... more <p>In this paper, modeling and simulation of the solar photo-voltaic (PV) power generator is observed using<strong> </strong>Matlab-Simulink environment. The study the fore-mentioned photovoltaic systems in an efficient manner the knowledge of I-V and P-V characteristics is a prerequisite. Effect of environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.</p>
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), 2016
TENCON 2008 - 2008 IEEE Region 10 Conference, 2008
ABSTRACT This paper presents the design of a robust course controller for a cargo ship interactin... more ABSTRACT This paper presents the design of a robust course controller for a cargo ship interacting with an uncertain environment using particle swarm optimization (PSO) enabled automated quantitative feedback theory. The plant model considers here is Nomotopsilas second order model, with structure parametric variation. In the present paper we have taken Nomotopsilas second order model as it is valid for high frequencies also, while first order model is restricted to low frequencies. In the present paper, the automated PSO enabled QFT design method is used to synthesize a robust course controller that can undertake the exact amount of plant uncertainty and can ensure a proper trade off between robust stability specifications and tracking performance over the entire range of frequencies. The present work is the continuation of the work done by the first author where controller is synthesized manually with the consideration of same process model. But in this article the PSO technique has been employed to tune the controller automatically that can greatly reduces the computational effort compared to manual graphical techniques. It has also been demonstrated that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller.
Systems Science & Control Engineering, 2014
To cite this article: Biplab Satpati, Chiranjib Koley & Subhashis Datta (2014) Robust PID control... more To cite this article: Biplab Satpati, Chiranjib Koley & Subhashis Datta (2014) Robust PID controller design using particle swarm optimization-enabled automated quantitative feedback theory approach for a first-order lag system with minimal dead time,
Industrial & Engineering Chemistry Research, 2014
ABSTRACT The present work uses a scale down industrial pneumatic conveying and drying system in o... more ABSTRACT The present work uses a scale down industrial pneumatic conveying and drying system in order to develop control-oriented models and suitable robust control strategies for the air preheating furnace of the system. A better control system has been achieved by utilizing the benefits of integrating first principle models, system identification techniques and parametric robust control methods. Though these processes are widely used in drying and transmission of different food, pharmaceutical and industrial products in the form of powder like fine-grained material but suitable control oriented thermal models for these processes have not been studied. In the work the air preheating furnace of a pneumatic conveying and drying system is initially modeled with first principles. The novel dynamic models derived from first principles is intended to evaluate dynamic changes in outlet air temperature corresponds to changes in current input to heating coils, air flow velocity and ambient temperature. Then a continuous time (CT) data driven model identification technique based on Simplified Refined Instrumental Variable (SRIV) approach has been applied in order to identify the model parameters as per the desired structures. The identified systems were then validated with different sets of experimental data, and found to be closely correlated. Finally a novel robust control law i.e. refined particle swarm optimization (PSO) enabled automated Quantitative Feedback Theory (QFT) (Refined PSO-QFT) has been proposed and implemented in order to improve the temperature control system of the pneumatic conveying and drying process.
2013 IEEE International Conference on Control Applications (CCA), 2013
ABSTRACT The paper develops a mathematical model of duct air heating process, as widely used in d... more ABSTRACT The paper develops a mathematical model of duct air heating process, as widely used in drying of different materials in the form of powder. In this work, a mathematical model of the duct air heating system containing resistive heating element has been developed for simulation study, by considering one dimensional forced convective heat transport phenomena. Then a Continuous Time (CT) model identification technique based on Instrumental Variation (IV) approach has been applied to the actual duct air heating process, in order to identify the model parameters. The model was intended to evaluate dynamic changes in outlet air temperature corresponds to changes in current through the heating coils, air flow velocity and ambient temperature. The proposed mathematical model has been validated by a set of simulated models obtained from the experimental data collected from the actual setup, involving duct air heating under open loop conditions. The obtained responses of the mathematical model as well as identified system were found to be closely correlated with the experimental responses.
Journal of Optics, 2013
ABSTRACT Optics has proved its successful role in parallel logic, arithmetic or algebraic operati... more ABSTRACT Optics has proved its successful role in parallel logic, arithmetic or algebraic operations. So many different methods on optical data processing were proposed and implemented in last few decades. For implementing the all optical logic and arithmetic devices it needs different types of encoding principle like, polarization encoding principle, frequency encoding principle, intensity encoding principle and phase encoding principle. As the frequency is the basic characteristics of light, so frequency encoding principle is the most reliable one among all other encoding principles. Currently frequency encoding technique is established as a promising one for all optical processing, as frequency of light does not change normally after reflection, refraction, absorption etc. Again Semiconductor optical amplifier (SOA) can be used for different successful frequency conversions. Here in this technique ‘1’ logic state is represented by a frequency ν2 then ‘0’ state is represented by another frequency ν1 instead of intensity variation. In this paper the authors describe the simulation study of the performances of SOA in various optical switches like frequency conversion and add-drop multiplexer.
2014 IEEE Conference on Control Applications (CCA), 2014
ABSTRACT This paper presents a modified Hammerstein-Hammerstein nonlinear online identification m... more ABSTRACT This paper presents a modified Hammerstein-Hammerstein nonlinear online identification method for an industrial air pre-heating furnace involves drying and conveying of materials, by relating set point, error signal, the control variable and process variable in a systematic manner using the prediction error framework. The method developed here to address the gray Hammerstein-Hammerstein estimation problem under closed loop settings. The proposed model is tested on an industrial air heating system under different air flow rate. The obtained responses of the identified system were found to be closely correlated with the experimental responses.
Optik - International Journal for Light and Electron Optics, 2014
Semiconductor optical amplifier (SOA) is used for different successful frequency based switching ... more Semiconductor optical amplifier (SOA) is used for different successful frequency based switching operations. In this paper the authors describe the simulation study of the performances of SOA in various optical switches like frequency conversion, add-drop multiplexer and frequency encoded optical NOR gate, which is one the most important gates in logic family as it is known as one of the universal logic gates. Again, the controlled optical NOR logic operation with semiconductor optical amplifier is also proposed in this paper.
IEEE India Conference, 2008
This paper presents the design of a robust PID controller for load frequency control of non-minim... more This paper presents the design of a robust PID controller for load frequency control of non-minimum phase hydro power plant using particle swarm optimization (PSO) enabled automated quantitative feedback theory (QFT). The plant model considered here is a dynamic model of power system that includes the turbine, governor, load and machine dynamics subjected to control the load frequency in accordance
IEEE India Conference, 2008
This paper presents the design of a robust PID controller for load frequency control of non-minim... more This paper presents the design of a robust PID controller for load frequency control of non-minimum phase hydro power plant using particle swarm optimization (PSO) enabled automated quantitative feedback theory (QFT). The plant model considered here is a dynamic model of power system that includes the turbine, governor, load and machine dynamics subjected to control the load frequency in accordance