This paper introduces the election optimization algorithm (EOA), a meta-heuristic approach for engineering problems. Inspired by democratic electoral system, focusing on presidential election, EOA emulates complete process to optimize solutions. By simulating novel position-tracking strategy that expands scope of effectively solvable problems, surpassing conventional human-based algorithms, specifically, political optimizer. incorporates explicit behaviors observed during elections,...

Residential-level short-term load forecasting (STLF) is significant for power system operation. Data-driven models, especially machine-learning-based are sensitive to the amount of data. However, privacy and security concerns raised by supervision departments users limit data sharing. Meanwhile, limited from newly built houses not sufficient support building a powerful model. Another problem that different in non-identical independent distribution (non-IID), which makes general model fail...

Magnetically levitated (ML) systems that incorporate PCB coils represent a growing trend in precision machining, valued for their controllable current flow and high fill factor. The size of modern power devices is decreasing to enhance density, minimize parasitic inductance, reduce losses. However, due the resistance coils, managing heat generation has become significant area study. This paper seeks optimize coil design loss control peak temperatures ML systems, using numerical model. An...

The Aquila Optimizer (AO) algorithm is a meta-heuristic with excellent performance, although it may be insufficient or tend to fall into local optima as the complexity of real-world optimization problems increases. To overcome shortcomings AO, we propose an improved (IAO) which improves original AO via three strategies. First, in order improve process, introduce search control factor (SCF) absolute value decreasing iteration progresses, improving hunting strategies AO. Second, random...

Magnetic levitation actuators (MLAs) are increasingly employed in the modern high-precision manufacturing industry. Since current-wrench transformation matrix is calculated inaccurately controller, existing MLA finds it hard to undertake multi-degrees-of-freedom (DOF) movement large stroke. A high-fidelity real-time model required design better controllers for MLAs. This paper proposes a universal FPGA-based wrench (RTWM); meanwhile an capable of translation and rotation horizontal plane as...

An accurate wrench model is significant for the simulation, manufacture, and control of commutated magnetically levitated planar actuator (CMLPA). With plenty coils permanent magnets employed in coil set magnet array CMLPA, computational burden corresponding can be substantial. This paper proposes an accurate, universal, robust parallel massive-thread (PMWM) CMLPA. In PMWM, magnetic node, Gaussian quadrature, coordinate transformation are to express interaction between set. All these...

Applications of switched reluctance machine (SRM) are increasing in the industry due to their many desirable features. This study proposes a hybrid analytical model (HAM) SRM for hardware‐in‐the‐loop (HIL) simulation. To obtain satisfactory accuracy, phase flux linkage is solved by magnetic equivalent circuit (MEC) method when stator and rotor poles overlap, space harmonic (SHM) do not overlap. The backward Euler Newton–Raphson methods used calculate exciting current, while Gaussian...

Magnetic levitation positioning systems have attracted an increasing amount of attentions for many modern industrial applications because they can work in a large range motion multiple degrees freedoms (DoFs) with resolutions as small nanometer and microradian levels. In this article, 6-DoF system based on four linear magnetic actuators (MLAs) is designed tested. contrast to the existing modeling method, article takes yaw angle into account force torque solutions MLA, revised model employed...

This paper investigates a kind of cylindrical linear single-axis actuator that is used in the magnetic levitation stage to provide fine movement. The flux density distribution due permanent magnet determined using surface charge method, and magnitude force generated by calculated Lorentz equation. Both them can be solved numerical integration. results are verified measurements. components fitted as an analytical style real-time controlling this for stage.

This article proposes a fast and accurate semi-analytical calculation method of magnetic force torque in the magnetically levitated rotary table. Benefited from high computation efficiency accuracy, solution is suitable for optimization real-time control system. Different with existing harmonic modeling field produced by circular magnet array table, gaps permanent are taken into account this article. With obtained flux density distribution, can be acquired via coordinate transformation...

Considering the increasingly strict motion precision requirements and repetitive task characteristics of magnetic levitation systems (MLSs) in sophisticated industry, this article proposes a novel learning adaptive sliding mode control (LASMC) strategy for MLS to achieve an excellent tracking performance. The LASMC scheme is obtained by combining (ASMC) iterative (ILC) terms parallel structure. ASMC can guarantee system stability strong robustness, which employs switching gain parameter...

Accurate electrical load forecasting plays an important role in power system operation. An effective approach can improve the operation efficiency of a system. This paper proposes seasonal and trend adjustment attention encoder–decoder (STA–AED), hybrid short-term based on multi-head module with adjustment. A decomposing technique is used to preprocess original data. Each decomposed datum regressed predict future electric value by utilizing network mechanism. With mechanism, STA–AED...

Abstract This paper presents a robust iterative learning model predictive control (RILMPC) scheme for repetitive trajectory tracking of magnetically levitated (maglev) planar motor. The motivation lies in the improvement performance and disturbance rejection ability maglev system. Relying on past error motion, discrepancy is persistently compensated with iterations to improve prediction accuracy. cost function that serves as upper bound then derived from based Lipschitz property...

The magnetic levitation system has been considered as a promising actuator in micromachining areas of study. In order to improve the tracking performance and disturbance rejection magnetically levitated rotary table, an iterative learning PID control strategy with compensation is proposed. estimated compensates for signals enhance active ability. used feed-forward unit further reduce trajectory error. convergence stability are analysed. A series comparative experiments carried out on...

This article improves the transient response of a magnetically levitated (maglev) planar machine through model predictive control (MPC) benefiting from explicitly incorporating tightened constraints input vector. The maglev system is characterized as second-order linear via inverse method to facilitate fast online receding horizon optimization. estimated lumped disturbance compensates for deviations prediction caused by unmodeled errors, so obtained signals eventually eliminate steady-state...

This paper proposes a fast and accurate electromagnetic optimization method for magnetic levitation planar motors (MLPMs). With the purpose of achieving maximum force with minimum power dissipation cost, multi-objective is adopted MLPM. Furthermore, in order to improve precision reduce computational burden, expression objective function analyzed through numerical model. model built by charge Gaussian quadrature implemented parallel computation. According optimal objective, an intelligent...