Shahida Khatoon

PID & LQR control for a quadrotor: Modeling and simulation

This paper aims to present a comparison between various controllers to be used in dynamic model of a quadrotor platform. The controllers assumed in this work are conventional PID and a classic LQR controller. The PID controller is chosen for quadrotor model because of its versatility and facile implementation, while also providing a good response for the model dynamics attitudes. The LQR controller seemed to be a good comparative controller due to its great performance and robustness in the plant. In this study, it is accomplished that both the controllers provide satisfactory feedback for quadrotor stabilization.

Analysis and comparison of various methods available for load forecasting: An overview

Accurate load forecasting is essential for power system planning and operation. As the electricity end uses expand, load forecasting technique becomes more complicated. Depending on the nature of load variations, one particular method may not be suitable in each case. Before choosing a particular method, an overview of different techniques is required. This paper presents the analysis of various techniques for load forecasting. A comparative analysis is presented to understand the performance of each technique. None of them is found to be perfect alone; the trend is towards hybrid models.

Dynamic modeling and stabilization of quadrotor using PID controller

Mathematical modeling and simulation of an unmanned aerial vehicle, specifically, quadrotor modeling is not an easy task because of its complex structure, nonlinear dynamics and under-actuated nature. In this paper a dynamic model of a quadrotor has been developed using MATLAB/SIMULINK software platform. The aim is to model a quadrotor vehicle as realistic as possible. The model is then used to design a PID controller structure to stabilize the roll, pitch and yaw angles of the quad rotor system. The developed systems id tested successfully for number of numerical simulation runs.

An Adaptive Particle Swarm Optimization based fuzzy logic controller for line of sight stabilization tracking and pointing application

The design, operation and control of stabilization - tracking systems has been a challenging task for the scientists and engineers with the present day requirements of modern aged sophistication of these systems. The conventional control concepts have been outplayed by the optimal control techniques with the evolution of the modern control theory. Moreover, due to the problems associated with modern control techniques have motivated the engineers to apply intelligent technique to circumvent these difficulties. An attempt has been made to design and feasibility of an adaptive Particle Swarm Optimization (PSO) based fuzzy logic controller for stabilization-tracking system. The simulation results obtained in the study demonstrate the feasibility of the designed controllers.

Feasibility analysis of solar photovoltaic array configurations under partial shading conditions

Operation of photovoltaic plants globally registered issues related to shading. Shading may be due neighboring construction, passing clouds, birds or birds litter will significantly reduce the power production of photovoltaic plants. In this paper feasibility analysis has been done for different array configurations under partial shading conditions. The performance of Series-Parallel(SP), Bridge-linked(BL), Honey Comb(HC) and Total Cross Tied(TCT) array configuration are analyzed and compared for 7×7 PV array under different shading conditions.The performance and characteristics (I-V and P-V) are compared with and without bypass diode; use of bypass diode in antiparallel across module or modules increases the power output but causes multiple peaks in P-V characteristics.

Analysis of solar photovoltaic array under partial shading conditions for different array configrations

This Paper Presents an improved analysis of solar photovoltaic module under partial shaded condition, when a solar photovoltaic array is under partial shading (non-uniform insolation) conditions than there will be large power losses in the array. Cells/modules under shade absorbs significant amount of electric power generated by cells/modules at higher illumination and convert it into heat across the shaded Cells/modules. Under partial shading conditions in the array there exist multiple peaks in power-voltage characteristics. In this paper we have used MATLAB/SIMULINK software, firstly modeling is done for PV module which is further modified to get PV array model. The array current-voltage and power-voltage characteristic is verified from experimentally available characteristics. Analysis has been done for modules connected in series and parallel under partial shading condition. Demerits of series connections under partial shading condition are inferred. The comparison has been made for series and parallel connected solar photovoltaic modules.

ANFIS based speed control of DC motor

This paper presents comparative analysis of different controller configuration for speed control of separately excited DC motor. The main aim of this paper is to obtain optimize speed characteristics of DC motor drive by minimizing transient response specification such as rise time, settling time and overshoot. The speed control of DC motor is done using PID, Fuzzy and ANFIS controller Configuration. PID controller tuning parameters are obtained using Ziegler Nicholas (ZN) and Modified Ziegler Nicholas (MZN) method. This PID configuration is used as a reference to develop Fuzzy and Anfis structure. In this study, transfer function based model of DC motor is developed with defined parameters which is then integrated with different controller configuration. Finally, the developed system is tested for number of simulation runs and comparative analysis shows that ANFIS provide superior features including easy implementation, good computational efficiency, and stable convergence characteristic and this has validated the robustness of the ANFIS scheme.

Genetic algorithm based trajectory stabilization of quadrotor

This paper deals with control and stabilization of a quadcopter UAV using Genetic algorithm tuned PID controller. In this work, conventional GA is improved in two ways: firstly, crossover fraction and mutation rate is made adaptive by using a Fussy logic controller. Secondly, an advanced randomness is provided in GA by changing half of its initial population with random candidates after a fixed generations. Simulation results proven to be more optimised with the proposed controller in respect to the doth transient response and robustness in presence of adverse condition or disturbances.

ANN based electric load forecasting applied to real time data

The accuracy of electric load forecasts significantly affects the overall performance of power system. Some time due to complicated load pattern, forecasting becomes difficult. The object of this study is to develop more effective forecasting models, among others. This paper compares the electric load forecasting accuracy of ANN based techniques. This study investigates the time series techniques used to forecasts electric load, e.g. MA, linear trend, the exponential and parabolic trend. In the present study ANN based time series forecasting model has been developed, on hourly electric load consumption data. Data used to forecast is acquired from a distribution company located in Noida, Uttar Pradesh. These ANN based techniques are evaluated for the forecasting errors.

Optimal Output Vector Feedback Control Strategy for Wind Power Systems

Abstract This article presents the design of optimal output feedback controllers to enhance the dynamic performance of wind turbine generator supplying an infinite bus through transmission line. Efforts have been made to propose optimal regulators based on feedback of output state variables, which are easily accessible and available for the measurement. The designed optimal output feedback controllers are implemented in the wake of step disturbance in the system. The system dynamic responses and pattern of closed loop system eigenvalues for various system states are obtained with the designed optimal regulators to investigate the system dynamic performance. The investigations of the results obtained reveal that the reduction in system states used for feedback has resulted in degradation of system dynamic performance. However, for a particular set of output variables used as feedback; five states are used for feedback for an eighth order original system. The system dynamic performance is the same as offered by optimal controllers based on full state vector feedback control strategy.