Results 31 to 40 of about 165 (128)
This paper addresses the problem of secondary voltage and frequency control in islanded AC microgrids under uncertain operating conditions and limited system modeling information. Conventional secondary controllers typically rely on accurate mathematical models and centralized communication structures, which reduce flexibility and robustness in ...
Rahman Abasszadeh Gorany +3 more
wiley +1 more source
DDC Control Techniques for Three-Phase BLDC Motor Position Control
In this article, a novel hybrid control scheme is proposed for controlling the position of a three-phase brushless direct current (BLDC) motor. The hybrid controller consists of discrete time sliding mode control (SMC) with model free adaptive control ...
Rana Javed Masood +3 more
doaj +1 more source
This paper introduces a data‐driven model‐free adaptive controller (DDMFAC) as a powerful, practical, and suitable alternative to improve the limitations, challenges, and inherent problems of conventional model–based methods. The proposed method, using input–output data processing independent of the mathematical and systematic model, acts as an ...
Behnam Amini +3 more
wiley +1 more source
Recent Advances in Life Cycle Assessment and Other Sustainability Metrics
ABSTRACT This article is a review of advances in sustainability metric (SM), focusing on life cycle assessment (LCA) and material flow analysis (MFA), the most commonly used among all SMs. The presentations at the past 10 Society and Materials (SAM) conferences were used as a database.
Jean‐Pierre Birat, Gaël Fick
wiley +1 more source
Abstract The widespread integration of photovoltaics (PVs) presents significant challenges to the operation and control of distribution systems, particularly in maintaining voltage stability at nodes with PV connections. To address these challenges, this paper proposes a voltage control algorithm based on distributed model‐free adaptive control (MFAC).
Baoye Tian +7 more
wiley +1 more source
Variable output model-free adaptive heading control method for unmanned surface vehicle
ObjectiveAiming at the uncertainty of model perturbation and external interference in unmanned surface vehicles (USVs), an improved model-free adaptive control (MFAC) method suitable for the heading control of USVs is proposed.
Yulei LIAO +4 more
doaj +1 more source
This study proposes a novel model predictive controller using an optimized pseudo‐linearization model based on extended fictitious reference iterative tuning (E‐FRIT). This method improves control performance in various applications by combining data‐driven and model‐based control techniques.
Mikiya Sekine +2 more
wiley +1 more source
Model-free adaptive sliding mode control for intelligent vehicle longitudinal dynamics
Vehicle longitudinal dynamics system has the characteristics of being strongly non-linear, time-varying, and multiple-perturbed, so, it is difficult to build the mathematical model accurately. The control algorithms, based on accurate mathematical model,
Feng Zhang-qi +4 more
doaj +1 more source
Similar to many complex systems, the operation process of electric balanced forklifts has characteristics such as time-varying model parameters and nonlinearity.
Jianliang Xu +3 more
doaj +1 more source
The impedance sensitivity of the doubly‐fed induction generator (DFIG) grid‐connected system with series compensation is analysed using the Morris method and the extended Fourier amplitude sensitivity test (EFAST). A cooperative optimisation approach is proposed to adjust high‐sensitivity parameters, thereby suppressing sub‐synchronous oscillations ...
Gaojun Meng +5 more
wiley +1 more source

