Search results for: N. Yadaiah
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TENCON 2017 - 2017 IEEE Region 10 Conference > 585 - 590
This paper presents analysis and design of MRAC to incorporate variable adaptation gains to enhance the systems performance as compared to conventional MRAC. MRAC is a popular adaptive scheme which ensures the aspect of high dynamic tracking and stability. These are often considered as mutually contradictory features in a control system. Selection of adaptive parameter in MRAC plays crucial role to...
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TENCON 2017 - 2017 IEEE Region 10 Conference > 608 - 613
An optimally tuned Modified Active Disturbance Rejection Control (MADRC) scheme is presented for power system load frequency problem. MADRC has to two gains namely observer gains and controller gains, whose are selected optimally to achieve desired control performance. This paper explores the idea of formulating the tuning problem as a constrained multi-objective optimization problem. To realize this...
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The aim of this paper is to demonstrate the suitability of recurrent neural networks (RNN) for state estimation and tracking problems that are traditionally solved using Kalman Filters (KF). This paper details a simulation study in which the performance of a basic discrete time KF is compared with that of an equivalent neural filter built using an RNN. Real time recurrent learning (RTRL) algorithm...
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The International Journal of Advanced Manufacturing Technology > 2016 > 86 > 1-4 > 853-870
The thermo-chemical reactions between working atmosphere and molten weld pool in fusion welding process severely affect the weld joint quality and weld metal properties. Hence, the welding atmosphere plays a significant role to decide the weld joint quality. Fiber laser source is popularly being used in recent past over Nd:YAG, CO2, and diode lasers due to characteristic advantages of compact size,...
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Proportional Derivative Integral (PID) controllers are extensively used in most of the industrial applications. But often, PID frame work fails to address some serious issues like susceptibility to noise, instability due to integral term etc. On the other hand Active Disturbance Rejection Control (ADRC) addresses these issues quite successfully. The problem considered in this work is to control Automatic...
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This paper proposes a bio-inspired intelligent controller based on the limbic system of mammalian brain. This control technique can be used to control electric drives where fast acting control action is required. Simulation results are presented to investigate the performance of this controller. The performance of the controller is analyzed under different set speeds and different loading conditions...
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International Journal of Thermal Sciences > 2014 > 86 > Complete > 125-138
The mathematical structure of the heat source models should at least approximately represent the phenomena of real heat source. In fusion welding process, only the surface heat flux fails to realize enhanced heat transfer due to predominant effect of momentum transport of the material within molten pool. The convection in the weld pool can be substituted by apparent volumetric heat source which is...
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Voltage sag is a major deterrent in efficient power transmission: systems. It affects the customers who use single phase power supply. To overcome this problem a Dynamic Sag Compensator was designed and employed, the major difference being the implementation of PV system with PI controller, and additional DC source is provided as a backup instead of PV. This reduces the complexity of the proposed...
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Harmonic current is one of the major power quality problems due to non linear loads. In this paper the harmonic current in induction furnace load is compensated using active power filter. The inverters and rectifier switching creates harmonics in input side. It is then compensated by using active power filter with p-q theory and PI controller. The simulation result are obtained with FFT analysis and...
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IEEE/ASME Transactions on Mechatronics > 2014 > 19 > 1 > 213 - 224
This paper presents design and digital implementation of a fuzzy controller for achieving improved performance of Brushless dc (BLDC) servomotor drive. The performance of fuzzy and PID controller-based BLDC servomotor drives is investigated under different operating conditions such as change in reference speed, parameter variations, load disturbance, etc. BLDC servomotors are used in aerospace, instrumentation...
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This paper proposes a co-ordinate tuning strategy for PID control parameters in achieving both the robustness and better transient characteristics. Modified Ziegler-Nichols, Bode-Integrals and Iso-damping are well known methods for tuning of PID parameters in meeting the desirable. In order to achieve the robustness to gain variations and better transient properties, a new control strategy known as...
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This paper suggests an optimized tuning strategy for PID controller by selecting a factor α which relates integral time with derivative time. Modified Zeigler Nichols Method (MZN), Bode-integrals and Iso-damping are well known methods for tuning of PID parameters in meeting the desirable objectives. All these methods make use of different relationship between Ti and Td instead of using the relationship...
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This paper presents development and implementation of DSP based control of constant frequency and average current mode of Boost converter for power factor correction of Single phase low and medium power applications. It is implemented through average current mode control operation of boost converter with feedforward and PI controller with saturation correction scheme. Digital controller with constant...
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This paper presents an algorithm of fuzzy based Kalman filter for trajectory estimation of dynamical objects. The Fuzzy subsystem is designed to tune dynamically the process noise covariance matrix of the discrete time Kalman Filter. The main adaptation strategy is based on the heuristic knowledge/practical expertise of the human observer/control engineer. The Fuzzy Kalman Filter attempts to offset...
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This paper describes the design of an observer-based intelligent coordinated controller using fuzzy logic system and sliding mode observer. This concept prevents an electric power system losing synchronism after a large sudden fault and their by achieves good post-fault voltage level. The developed controller has a fuzzy logic unit, which accepts change in terminal voltage and speed deviation from...
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In this paper decoupled extended kalman filter (DEKF) based Recurrent Neural Network (RNN) has been proposed for state estimation of nonlinear dynamical systems. The proposed state estimator uses cascading of recurrent neural network structures to learn the internal behavior of the dynamical system along with the measuring relations of the system from the input-output data through prediction error...
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This paper presents a approach for tuning of proportional-integral control parameters through Genetic Algorithm (GA) to obtain optimal designed parameters. Intelligent Systems like GA is good searching algorithm that can be suitably adopted for optimal solutions. In this proposed approach, cost function specified in terms of integral time based absolute error is defined for GA. This method is applied...
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This paper presents a Hybrid Particle Filter based RNN method for state estimation of non-linear dynamical system with knowledge of its input and output measurements. Particle filters are sequential Monte Carlo methods based on point mass (or particle) representations of probability densities, which is used to train Recurrent Neural Networks for estimation problems. The performance this method is...
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The SPWM control in a single FPGA has been developed and implemented. The SPWM IP core is designed using VHDL and a single FPGA, SPARTAN XC3S400PQ208 from Xilinx Inc. The simulations are carried out using Model Sim 5.7 and the implementation is carried out using Xilinx foundation series 9.1i. The PWM patterns have been achieved for different switching and fundamental frequencies. The output fundamental...
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IEEE Transactions on Power Electronics > 2011 > 26 > 6 > 1790 - 1799
This paper presents the design and development of dynamic partially reconfigurable pulsewidth modulation (DPRPWM) controller for three-phase voltage-source inverters (VSI) in a single Xilinx Spartan 3 XCS400PQ208 field programmable gate array (FPGA). The DPRPWM controller is designed such that it switches between the popular PWM techniques like sinusoidal PWM (SPWM) and space vector PWM (SVPWM). The...
