Majlesi Journal of Electrical Engineering Improved Group Search Optimization Algorithm for Multi-Objective Optimal Reactive Power Dispatch Volume 10 (2016) Issue 4, December 2016 2024 02 20 Improved Group Search Optimization Algorithm for Multi-Objective Optimal Reactive Power Dispatch EN Ebrahim Babaei Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 0000-0003-1460-5177 Ebrahim Babaei Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran 0000-0003-1460-5177 Alireza Shamlou University of Tabriz, Tabriz, Iran Journal Article 2024 02 20 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 voltage deviation is studied. Due to complicating objectives and also physical and operating constraints, an efficient optimization algorithm is needed. This paper solves the mentioned problem by using the group search optimization algorithm (GSO) which is one of the novel presented optimization algorithms based on group living and especially searching behavior of animals. In order to improve the algorithm efficiencies, the improved group search optimization algorithm (IGSO) is proposed. Accordingly, the algorithm would obtain better result due to its ability to find the global optimal rather than local ones. Additionally, the penalty factor approach is used in order to solve the multi-objective case.

Majlesi Journal of Electrical Engineering Fuzzy Sliding Mode Controller for Slip Control of Antilock Brake Systems Volume 10 (2016) Issue 4, December 2016 2024 02 20 Fuzzy Sliding Mode Controller for Slip Control of Antilock Brake Systems EN Mohsen Khazaei Islamic Azad University, Gonabad, Iran Mojtaba Rouhani Islamic Azad University, Gonabad, Iran Journal Article 2024 02 20 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 issue. The designed controller is a combination of sliding mode control and fuzzy control. In fact, the fuzzy system determines switching factor of sliding mode controller proportional to automobile speed employing fuzzy rules. In this way, it would be able to avoid braking command fluctuations in lower speeds. Simulations are performed in ¼ model of automobile in MATLAB environment. The simulation results revealed the capability of proposed system to maintain slip ratio in optimal value as well as avoiding braking fluctuations in low speeds.

Majlesi Journal of Electrical Engineering Mathematical Modeling and Designing PID Controller for a Quadrotor and Optimize its Step Response by Genetic Algorithm Volume 10 (2016) Issue 4, December 2016 2024 02 20 Mathematical Modeling and Designing PID Controller for a Quadrotor and Optimize its Step Response by Genetic Algorithm EN S. Mohammadali Zanjani Big Data Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran. 0000-0001-5329-4899 Sayed Mohammad Kargar Islamic Azad University, Najafabad, Iran Sayed Mohammad Ali Zanjani Islamic Azad University, Najafabad, Iran Journal Article 2024 02 20 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 on system. In order to have better performance, Genetic Algorithm based on step response optimization, is used to optimize PID controller performance and compared with classic method. Finally, step responses comparison for each transfer functions, showed that Genetic Algorithm with PID control synthesis presents better efficiency than the classic PID controller.

Majlesi Journal of Electrical Engineering Design of Novel Approach to Mitigate Voltage Sag Caused by Starting an Induction Motor Using Dynamic Voltage Restorer Volume 10 (2016) Issue 4, December 2016 2024 02 20 Design of Novel Approach to Mitigate Voltage Sag Caused by Starting an Induction Motor Using Dynamic Voltage Restorer EN Mojtaba Kheibar Shahid Chamran University of Ahvaz M. Joorabian Shahid Chamran University, Ahvaz, Iran E. Noori Ahvaz Electricity Distribution Company, Ahvaz, Iran R. Karambeigi Ahvaz Electricity Distribution Company, Ahvaz, Iran Journal Article 2024 02 20 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 controlled for each phase separately. Also, it should be noted that due to angle estimation by LES filters, control system does not require phase-locked Loop and this issue causes increase in speed of control system response. In addition, a P+Resonant and Posicast controller are used to eliminate the steady-state error and improve transient response in DVR, respectively. The proposed control system is simulated, using PSCAD/EMTDC software by induction motors starting is connected to 13 bus IEEE standard network. Finally, the simulation results prove that the proposed control scheme performs satisfactorily under sudden changes of load.

Majlesi Journal of Electrical Engineering A New Design and Fabrication of Tapered Fiber-Based Loop Mirror as a Gain Flattened Erbium Doped Fiber Amplifier Volume 10 (2016) Issue 4, December 2016 2024 02 20 A New Design and Fabrication of Tapered Fiber-Based Loop Mirror as a Gain Flattened Erbium Doped Fiber Amplifier EN Yalda Ghorbani Islamic Azad University Majlesi branch/Faculty of electrical and computer engineering, Isfahan, Iran. Sh. Shahi Islamic Azad University Khorasgan (Isfahan) Branch/Dental Biophotonics and laser research center (DBLRC), Arghavanieh Journal Article 2024 02 20 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 level of 100 mW. By introducing an appropriate amount of bend-induced and inserting the optical tapered fiber in FLM, the ASE spectrum of the EDF was flattened within 0.9 dB over a wavelength range of 31 nm in the C-band (1525 nm-1556 nm).

Majlesi Journal of Electrical Engineering A Survey on Association Rule Hiding in Privacy Preserving Data Mining Volume 10 (2016) Issue 4, December 2016 2024 02 20 A Survey on Association Rule Hiding in Privacy Preserving Data Mining EN Arezoo Hekmatyar Islamic Azad University, Najafabad, Iran Naser Nematbakhsh Islamic Azad University, Najafabad, Iran Mohammad Naderi Dehkordi Islamic Azad University, Najafabad, Iran Journal Article 2024 02 20 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 preserving data mining is non-disclosure of sensitive and private data with minimum changes in databases so that it would not have adverse effects on the rest of data. The present paper intends to present a brief review of methods and techniques regarding privacy of data mining in association rules, their classification and finally, classification of hiding algorithms of association rules followed by a comparison between a numbers of these algorithms.

Majlesi Journal of Electrical Engineering A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution Volume 10 (2016) Issue 4, December 2016 2024 02 20 A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution EN Ali Namadchian University of Tafresh, Tafresh, Iran Mehdi Ramezani Department of Mathematics, University of Tafresh, Tafresh, Iran. Navid Razmjooy Department of Electrical Engineering, University of Tafresh, Tafresh, Iran. Journal Article 2024 02 20 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 that the new presented algorithm outperformed some evolutionary algorithms.