The article's main provisions are the development and application of a neural network
method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals …

The acceleration control schedule (ACS) is crucial in determining the acceleration
performance of an aero-engine and is usually acquired by optimization means. To reduce …

Micro turbojets are used for propelling radio-controlled aircraft, aerial targets, and personal
air vehicles. When compared to full-scale engines, they are characterized by relatively low …

State space models (SSMs) are important for multi-variable performance analysis and
controller design of aero-engines. In order to solve the problems of the traditional state …

The work is devoted to the development of a method for neural network approximation of
helicopter turboshaft engine parameters, which is the basis for researching engine energy …

Abstract Intelligent Adaptive Control (AC) has remarkable advantages in the control system
design of aero-engine which has strong nonlinearity and uncertainty. Inspired by the …

Achieving measurable and unmeasurable parameter prediction is the key process in model-
based control, for which an accurate onboard model is the most important part. However …

A neural network method has been developed for helicopter turboshaft engine residual life
determination, the basis of which is a hierarchical system, which is represented in neural …

In this article, a predictor-based model reference adaptive control method is proposed for a
JetCat SPT5 turboshaft engine in full thrust, cruise, and idle modes. In the predictor-based …

In the milling process of thin-walled parts, chatter is very easy to occur, which has a very
adverse impact on the surface quality and machining efficiency of the workpiece. In order to …