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This paper presents an effective design of a 2nd order infinite impulse response digital differentiator optimized using cuckoo search algorithm (CSA). In the proposed design scheme, sum of the coefficients of numerator terms was restricted to zero so as to approximate DC frequency response accurately. This restricted condition resulted in a much better approximation in terms of superior performance...
Robotic manipulators are used in wide range of industrial applications. These are highly complex, multi-input multi-output and coupled systems requiring efficient control mechanism. This complexity is further enhanced as the number of links is increased. PID control is the most widely employed control scheme in the manufacturing industry but conventional tuning approaches for tuning PID gains do not...
In this paper, a Flyback-Forward converter employing a non-cascading scheme is presented in discontinuous conduction mode. The converter is designed to enhance the duty ratio of over 50%. As a result, the flyback sub-converter acts in boost mode and generates stepped-up output voltage. Since the switch utilization is required to be as high as possible in a forward converter, in present case, this...
In this work, an application of constrained genetic algorithm (CGA) based optimization approach has been explored for design of low pass and high pass finite impulse response (FIR) digital filters. To accomplish the task of optimal filter design, a novel constraint function has been proposed and integrated with the fitness function in CGA environment. CGA minimizes the fitness function under supervision...
An optimization approach to design an efficient 2nd order infinite impulse response (IIR) digital integrator (DI) is proposed using Cuckoo search algorithm (CSA). The unique feature of the proposed approach has been the formulation of the condition for obtaining ideal DC frequency response which has been attained by forcing the sum of the z-term coefficients in the denominator equal to zero during...
This paper presents a Teacher Learning Based Optimization (TLBO) approach to tune the backstepping controller for effective control of a single-link flexible-joint manipulator. To assess the relative performance of TLBO, comparative studies have been carried out with the two other popular optimization techniques namely genetic algorithm and cuckoo search algorithm. The integral absolute error was...
This paper presents a Cuckoo Search Algorithm (CSA) based tuning scheme to improve the performance of a tunneling accelerometer. CSA has been employed to tune the parameters of the used PD controller, in closed loop with the sensor, for minimum settling time. A comparative study has also been conducted between the sensor responses obtained from the CSA and Genetic Algorithm (GA) tuned controllers...
LabVIEW is one of the various programming platforms which is widely utilized by the researchers of fraternities form both industry and academia, due to its simple-to-use graphical programming environment and extra ordinary easy interface with the hardware. LabVIEW is equipped with various in-built toolkits to perform different measurement and control tasks. One of these tasks is solving an optimization...
In present paper, a non-cascading converter is presented. It is very useful as far as overall efficiency of the converter is concerned. Here the input power is transferred to the load through a non-cascading scheme employed on the secondary side of an isolation transformer. It requires the intermediate capacitor of lower ratings and at the same time improves the power transfer capability of the converter...
This paper presents a comparative study of Backstepping controllers based on Barrier Lyapunov Function (BLF) and Quadratic Lyapunov Function (QLF) for stabilising the vertical displacement of a quarter car active suspension system. Hard constraints of the suspension system such as suspension travel, dynamic tyre load and actuator saturation are maintained in presence of uncertain sprung mass. Two...
This paper investigates the effects of different controller tuning approaches on an intelligent controller, namely Stiction Combating Intelligent Controller (SCIC) earlier developed by the authors. The SCIC controller is inherently a variable gain fuzzy Proportional-Integral (PI) controller based on Takagi-Sugeno model and was specifically designed to handle the stiction nonlinearity in a control...
Measurement noise is one of the most widely and frequently experienced problems of an industrial working environment. The effects of measurement noise can be reduced by filtering the measurement signal. The aim of the current work is to explore (a) the optimum location of filter in the control loop and (b) the controller tuning in presence of measurement noise. In the present work, two locations are...
In this paper a Grey Wolf Optimizer (GWO) Toolkit developed in LabVIEW™ environment, has been presented. Grey Wolf Optimizer (GWO) is inspired by Grey wolves (Canis lupus). The GWO algorithm, in nature, mimics the leadership hierarchy, and the hunting mechanism of grey wolves. LabVIEW™ is a versatile tool for measurement and control applications and it is very popular among the industries. As Differential...
Proportional — Integral — Derivative (PID) controller performs well for linear systems. For systems with nonlinearity, controller parameters need to be tuned every time for new operating point to obtain ‘local gain parameters’. These local gain parameters are not sufficient to get satisfactory performance at other operating points. In this paper a novel approach ‘Aggregate Fitness Function’ is presented...
This paper presents an implementation and comparative study of fuzzy logic based intelligent control and the conventional Proportional, Integral and Derivative (PID) control in a real time mode for rectilinear plant. PID controller has been implemented on Field Programmable Gate Array (FPGA), NI-PXI-7833R using LabVIEW software package. For implementation of fuzzy logic based intelligent controller...
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