The modeling and development of the boost DC to converter with Partial Swarm Optimization Distinctive Feed Forward Propagation (PSO-DFFP) controller for hybrid power systems including solar panels. static dynamic investigation developed PSO DEEP is presented. PSO-DFFP has been designed improve operating efficiency reduces input current ripple. DFFP performance compared ANFIS FLC. system switchi...

non-invasive fetal electrocardiogram (FECG) signal extraction from signals recorded at abdominal area of mother is a challenging problem for the biomedical and signal processing communities. In this paper, we improve the FECG extraction approaches which consist to find the relation-ships between the cardiac potentials generated at the heart level of mother and the potentials recorded on the abd...

The paper presents a tuning methodology for the parameters of adaptive current and speed controllers in a permanentmagnet brushless DC (BLDC) motor drive system. The parameters of both inner-loop and outer-loop PI controllers, which vary with the operating conditions of the system, are adapted in order to maintain deadbeat response for current and speed. Evenly distributed operating points are ...

Bedrock unconfined compressive strength (UCS) is a key parameter in designing thegeosciences and building related projects comprising both the underground and surface rock structures. Determination of rock UCS using standard laboratory tests is a complicated, expensive, and time-consuming process, which requires fresh core specimens. However, preparing fresh cores is not always possible, especi...

In this paper, an attempt has been made to predict and evaluate the entrance length in pipe for low Reynolds number flow using evolutionary-optimized Adaptive-Neuro Fuzzy Inference System (ANFIS). For optimization purpose, evolutionary algorithm namely particle swarm optimization (PSO) is adopted. We trained and tested the model using 100 experimental records from computational fluid dynamics (...

In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of ANFIS-based fuzzy models based on SSA and information granulation (IG). In comparison with conventional evolutionary algorithms (such as PSO), SSA leads not only to better search performance to find global optimization but is also more computationally effective. In the hybrid optimization of ANF...

This paper shows a three-phase series resonant DC-DC boost converter simulation model with double LLC tanks (SRC-W-DLLC-RTs) for hybrid solar wind system (HSWS) battery energy storage DC load. An intrinsic drawback of solar-wind technology is its intermittent and weather-dependent output voltage. MPPT control algorithm-based converter, which offers interfaces between load, can overcome this iss...

Abstract The geomechanical characteristics of a drill formation are uncontrollable factors that crucial to determining the optimal controllable parameters for drilling operation. In present study, data collected in wells drilled Marun oilfield southwestern Iran were used develop adaptive network-based fuzzy inference system (ANFIS) models parameters. specific energy (DSE) was calculated using s...

Oil production estimation plays a critical role in economic plans for local governments and organizations. Therefore, many studies applied different Artificial Intelligence (AI) based methods to estimate oil countries. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is well-known model that has been successfully employed various applications, including time-series forecasting. However, the AN...

Deformation of ground during tunnelling projects is one the complex issues that required to be monitored carefully avoid unexpected damages and human losses. Accurate prediction settlement (GS) a crucial concern for problems, adequate predictive model can vital tool tunnel designers simulate accurately. This study proposes relatively new hybrid artificial intelligence (AI) models predict earth ...