this paper presents the method of reducing torque ripple of brushless dc (bldc) motor. the commutation torque ripple is reduced by control of the dc link voltage during the commutation time. the magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (pso) algorithm analysis. the goal of optimization ...

optimization through simulation is considered anefficient tool in dealing with optimization problems. it’s a tool that iscapable to cover real world problems to a much more complete way than the otheroptimization tools. the problem of this tool is the necessity of heavyprocessing computations. this problem is caused not only since the simulationprocess is time consuming, but the objective funct...

The linguistic time-series forecasting model (LTS-FM), which has been recently proposed, uses words of variable domains generated by hedge algebras (HAs) to describe historical numeric data. Then, the LTS-FM was established utilizing real semantics induced fuzziness parameter values (FPVs) HAs. In existing LTS-FMs, just FPVs HAs are optimized, while used word set is still chosen human experts. ...

This paper proposes a Real-Time Market (RTM) platform for an aggregator and its corresponding prosumers to participate in the electricity wholesale market. The proposed energy market is modeled as bilevel optimization problem where are considered self-interest agents. current state-of-the-art Mathematical Programming with Equilibrium Constraints (MPEC) Mixed-Integer (MIP) based approaches solve...

banking and financial services are important parts of the service industry. quality of service in the banking industry has a close relationship with customer satisfaction service system. banks could create competitive advantage by increasing customer satisfaction and reduce costs in today's competitive environment. this paper presents a decision-making model to obtain optimum tasks assigne...