This paper proposes the improved group search optimization algorithm for optimal reactive power dispatch (ORPD). The ORPD problem is a non-linear, non-convex optimization problem which has various decision variables such as the compensation capacitors proportions, voltages of generators and the tap position of tap changing transformers. In this paper the multi-objective ORPD considering loss and […]
Anti-lock braking system is designed to optimize braking procedure while maintaining automobile steerability through controlling wheels slip. However, due to nonlinearity and uncertainty of ABS structure, designing the controller for wheel slip encounters so many problems which necessitate a robust control system. In this paper a hybrid controller is proposed for ABS to address this […]
In order to analyze the mathematical modeling and PID controller performance of a quadrotor, this paper firstly, describes the quadrotor flight dynamics according to “Newton-Euler laws”, then equations of motion linearized and transfer functions for 6 degree of freedom obtained in state space domain. Classic PID controller based on “Ziegler-Nichols method” is designed and implemented […]
In this paper a new control strategy for dynamic voltage restorer (DVR) is presented to compensate effectively voltage sags. In this strategy, load and supply voltage magnitude and angle are estimated by least error square in short time. Advantage of this method is reducing noise, distortion and harmonic on estimation parameters. Accordingly, these parameters are […]
The purpose of this study is flattening the amplified spontaneous emission (ASE) spectrum based on an erbium-doped fiber (EDF) by using a standard fiber-based loop mirror (FLM) and tapered fiber. Subsequently, an over-coupled coupler is fabricated to realize the FLM, which is integrated to an EDF pumped by a 980-nm laser diode with a power […]
Data mining has been used as a public utility in extracting knowledge from databases during recent years. Developments in data mining and availability of data and private information are the biggest challenge in this regard. Privacy preserving data mining is a response to this big challenge. The main purpose of techniques and algorithms in privacy […]
Meta-heuristic methods are global optimization algorithms which are widely used in the engineering issues, nowadays. In this paper, a new stochastic search for optimization is presented using variable variance Gaussian distribution sampling. The main idea in searching for algorithm is to regenerate new samples around each solution with a Guassian distribution. Numerical simulations have revealed […]