IAES International Journal of Robotics and Automation (IJRA)
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A parameter less stochastic optimization technique for tuning of speed PI controller of DTC induction motor drive
Get PDFThe Direct Torque Controlled (DTC) induction motor (IM) drives over the years have been the work force of industries. The popularity of this motor drive is due to the low cost and low maintenance of induction motor coupled with the fast dynamic response and simple control structure of direct torque control method. The robust performance of the DTC induction motor drive depends on the proper tuning of its speed controller. The proposed paper make use of the stochastic optimization technique namely the popular Harmony Search Algorithm and is compared with the parameter free Jaya Algorithm for tuning the gains of the speed proportional integral controller. Simulation studies in MATLAB/Simulink shows the success of the Jaya Optimization for improving the performance of DTC drive with respect to speed and torque peak over shoot and steady state error under different drive operating conditions
A genetic algorithm rooted in integer encoding and fuzzy controller
Get PDFThe premature convergence is the essential problem in genetic algorithms and it is strongly related to the loss of genetic diversity of the population. In this study, a new sexual selection mechanism which utilizing mate chromosome during selection proposed and then technique focuses on selecting and controlling the genetic operators by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with some other operators, heuristic and local search algorithms commonly used for solving benchmark problems published in the literature
Current sensorless vector controlled induction motor drive
Get PDFThis paper presents a current sensorless vector controlled induction motor drive with only speed sensor present in the system. The same performance as that of normal vector control drives (which uses two current and one speed sensor) is achieved with the proposed current sensorless drive. Such an approach is suitable for applications, where speed sensor cannot be eliminated. Thus, elimination of current sensor results in reduction of cost, increases reliability, reduced size and noise immunity. A new current estimation algorithm is proposed in this paper. The current estimation algorithm, estimates the current in two phase stationary reference frame. The proposed current estimation technique can also be used as a fault tolerant algorithm for normal vector controlled drives in case of current sensor failures. The performance of the current sensorless drive using the proposed current estimation technique is verified through MATLAB/SIMULINK. Extensive simulation results are presented to confirm the effectiveness of the algorithm. The algorithm is also experimentally validated with the laboratory developed prototype and the results are presented. The prototype is built around a dSPACE 1104 controller board
Concurrent asynchronous robotic subsumption using actors & promises
Get PDFFascinated with robotics open source integrated component MARIE [1], ROS [5] and open source component PLAYER/STAGE [2], CARMEN [3] available in the eld of robotics application. We aim at developing an asynchronous concurrent robotics application based on subsumption [6] architecture using PLAYER, STAGE and already available services freely available on the internet. We used wanderer and wall follower services embedded inside an actor [10][11] and integrated these services to two dierent robots of same congurations on our promise based frame-work that provides actor as service. The two robots switch their services based on color detected (red,green,blue) during their movement in an environment asynchronously. Using actor as a service lls the gap of SOA [4] & EDA [7] by providingsynchronous and asynchronous support for communication. We measured the performance of time taken in completion of services in promise [8] based implementation ,synchronous and asynchronous callback [9] based implementation. We developed a model to prove deadlock freeness in our integrated architecture using petrinet [15] interface composition. We have also been able to justify that component integrated on promise based framework takes less time in service completion than synchronous and asynchronous callback based services
Advanced teaching-learning-based optimization algorithm for actual power loss reduction
Get PDFIn this work Advanced Teaching-Learning-Based Optimization algorithm (ATLBO) is proposed to solve the optimal reactive power problem. Teaching-Learning-Based Optimization (TLBO) optimization algorithm has been framed on teaching learning methodology happening in classroom. Algorithm consists of “Teacher Phase”, “Learner Phase”. In the proposed Advanced Teaching-Learning-Based Optimization algorithm non-linear inertia weighted factor is introduced into the fundamental TLBO algorithm to manage the memory rate of learners. In order to control the learner’s mutation arbitrarily during the learning procedure a non-linear mutation factor has been applied. Proposed Advanced Teaching-Learning-Based Optimization algorithm (ATLBO) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the proposed algorithm reduced the real power loss effectively
Nonlinear systems identification with discontinuous nonlinearity
Get PDFIn this paper, nonparametric nonlinear systems identification is proposed. The considered system nonlinearity is nonparametric and is of hard type. This latter can be discontinuous and noninvertible. The entire nonlinear system is structured by Hammerstein model. Furthermore, the linear dynamic block is of any order and can be nonparametric. The problem identification method is done within two stages. In the first stage, the system nonlinearity is identified using simple input signals. In the first stage, the linear dynamic block parameters are estimated using periodic signals. The proposed algorithm can be used of large class of nonlinear systems
A crucial study focuses on demand based Indian hotel industry energy efficiency needs by comparing two model theory by Cholesky decomposition
Get PDFHotels operate on a stringent 24/7 operational model, every day operational model. They offer both top notch facilities and various civilities, including nearby workplaces, world-class wellness focuses, spas, warmed swimming pools, 24-hour eateries, and then some. These advantages add to visitor comforts additionally increment add up to vitality cost. While inn vitality utilization can appear to be stunning, the plenty of administrations and conveniences offer various open doors for vitality funds. The test for inn proprietors is choosing the ideal course to vitality reduction. Two methods top the list: energy audits and retro-commissioning To pick the best game-plan for a particular inn property, proprietors must survey the two strategies and recognize which arrangement would have the best effect on their building. The two procedures handle vitality use from various points, so here's a manual for what every involves and how it can enhance inn operations
Interval type-2 fuzzy logic controller design for distillation column process
Get PDFDistillation columns are the most units used in oil refineries, and chemical factories. This is a very difficult process and non-linear. Therefore, the development of intelligent control systems for the columns of the distillation is very difficult. In this paper, an intelligent control strategy using Mamdani type Interval Type-2 PI Like Fuzzy Logic Controller (IT2FLC) is used. The controller consists of PD-Like FLC with integrated output. Kernek Mendel (KM) algorithm is used as the type reduction method for the IT2FLC. This controller is applied to control a continuous binary trays distillation column. The controller has three tunable gains to reach minimum overshoot, minimum error and minimum settling time at least variables can be controlled. The controller is a variable of the molar fraction of distillate and the reflex ratio is the manipulated variable. Integral Time Absolute Error (ITAE) is employed as an objective function to measure the improvement in time response where the error is between desired and output product composition. The performance of IT2FLC is compared with Type-1 PI Like FLC (T1FLC). The results of the simulations have shown that the project of IT2FLC works efficiently to no- disturbance and the effects of disturbance. Improve average is of 85% for a constant set-point without a disturbance and 80% with a disturbance. Furthermore, the average improvement for a step set-point is 53% without disturbance and 74% with disturbance. All results of the simulation confirmed the hardiness and control any consistent inaccurate with obvious advantages for the IT2FLC
Design and testing of stability improvement of nine multi-level H-Inverter for distribution system
Get PDFIn this article, a solitary phase nine-level series connected H-Bridge powered by photovoltaic MPPT based SHAPF in view of basic controller is proposed. SRF is utilized for reference input current extraction and to create pulses for the SHAPF. The principle point of the cascaded bridge is to dispense harmonics, enhance power factor and reactive energy compensation of the single-phase distribution framework. The suggested control calculation has two parts, changing the load current into stationary reference outline directions and estimation of peak amplitude of load currents. Consequently, a basic and dependable controller effortlessly of execution was created. The calculation for single-phase SHAF is intending to perform with exact tracking performance under step changes in load currents and to give great dynamic compensation. In this article, synchronous reference theory PLL with Inverse-Park change is adopted for producing quadrature part of current. The execution of the control calculation is tried and assessed utilizing MATLAB/Simulink tool
Implementation of ANFIS based controller on IG wind farm for improved performance
Get PDFIn this paper, the transient performance of a 9-MW Induction Generator (IG) wind farm is improved by implementing an Adaptive Neuro Fuzzy Inference System (ANFIS) based controller on the turbine in MATLAB/SIMULINK environment using phasor analysis. Initially, the parameters of PI controller is developed using conventional method. Then, with the help of PI controller, the ANFIS based controller is trained. This developed controller reduces peak overshoot and settling time of active power and torque-speed characteristics in contrast to PI controller. Further, the system is linearized and the obtained results in time domain have been validated for stability by using Pole-Zero plot