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338 Results Found

  • Review
  • Open Access
1 Citations
2,728 Views
30 Pages

The self-tuning of control parameters for permanent magnet synchronous motor controllers is extensively utilized in industrial and production settings. The self-tuning algorithms and strategies employed significantly influence the quality and efficie...

  • Article
  • Open Access
222 Views
13 Pages

21 February 2026

Parameter self-tuning of servo control systems is crucial for optimizing automation processes, especially in complex systems such as permanent magnet synchronous motors. In this paper, a nonlinear adaptive whale optimization algorithm (NAWOA) is prop...

  • Technical Note
  • Open Access
6 Citations
2,025 Views
15 Pages

A Parameter Self-Tuning Decoupling Controller Based on an Improved ADRC for Tension Systems

  • Guoli Ju,
  • Shanhui Liu,
  • Keliang Wei,
  • Haodi Ding and
  • Chaoyue Wang

9 October 2023

Aiming at the problems of strong coupling and time-varying parameters in the tension systems of roll-to-roll coating machines, this paper outlines the design of a parameter self-tuning decoupling controller based on an improved active disturbance rej...

  • Article
  • Open Access
1,270 Views
20 Pages

18 May 2025

This paper proposes a sensorless field-oriented control (FOC) strategy for permanent magnet synchronous motors (PMSMs), focusing on rotor flux position estimation based on back-electromotive force (back-EMF) signals. The limitations of conventional p...

  • Article
  • Open Access
13 Citations
2,730 Views
19 Pages

13 October 2019

In this study, we researched the problem of self-tuning (ST) distributed fusion state estimation for multi-sensor networked stochastic linear discrete-time systems with unknown packet receiving rates, noise variances (NVs), and model parameters (MPs)...

  • Article
  • Open Access
44 Citations
8,452 Views
12 Pages

29 August 2021

The feasibility of a neural network method was discussed in terms of a self-tuning proportional–integral–derivative (PID) controller. The proposed method was configured with two neural networks to dramatically reduce the number of tuning attempts wit...

  • Article
  • Open Access
1 Citations
881 Views
17 Pages

Active disturbance rejection control (ADRC) emerges as a promising control approach due to its partial model-based characteristics and strong disturbance rejection capabilities. Nevertheless, it is a difficult problem to tune various parameters of AD...

  • Article
  • Open Access
3 Citations
2,197 Views
24 Pages

Self-Tuning Controller Using Shifting Method

  • Milan Hofreiter,
  • Michal Moučka and
  • Pavel Trnka

4 November 2023

This paper presents a newly implemented self-tuning PID controller that uses a relay feedback identification using a recently designed relay shifting method to determine the mathematical model of the process and subsequently adjust the controller par...

  • Article
  • Open Access
4 Citations
2,552 Views
20 Pages

1 May 2024

This study proposes a universal adaptive control algorithm for an unknown multi-input multi-output (MIMO) system using recursive least squares (RLS) and parameter self-tuning. The issue of adjusting the control and system parameters in response to ch...

  • Article
  • Open Access
12 Citations
2,825 Views
20 Pages

Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane

  • Hui Li,
  • Yanbo Hui,
  • Jun Ma,
  • Qiao Wang,
  • Ying Zhou and
  • Hongxiao Wang

12 April 2023

The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, the positioning of the trolley and the swing of the load can significantly impact the bridge crane’s safety a...

  • Article
  • Open Access
1 Citations
2,269 Views
16 Pages

25 May 2022

The traditional bistable stochastic resonance model has always had the drawback of being difficult when choosing accurate system parameters when a weak signal is enhanced. This paper proposes a parameter self-tuning adaptive optimization method based...

  • Article
  • Open Access
11 Citations
2,614 Views
16 Pages

22 February 2023

To improve the control precision of the nonlinear register system for flexographic printing, a feedforward active disturbance rejection control (ADRC) parameter self-tuning decoupling control strategy based on radial basis function (RBF) is proposed...

  • Article
  • Open Access
803 Views
20 Pages

A self-tuning control strategy for Active Disturbance Rejection Control (ADRC) parameters based on a Radial Basis Function (RBF) neural network is proposed to improve the control accuracy of the roll-to-roll flexographic printing multi-color register...

  • Article
  • Open Access
13 Citations
2,945 Views
20 Pages

22 July 2022

A valve-controlled hydraulic cylinder system has the characteristics of uncertainty and time-variance, and the electro-hydraulic servo unit encounters shock, vibration, and other external interference when working, which seriously affect the stabilit...

  • Article
  • Open Access
2 Citations
1,702 Views
29 Pages

Large-scale computer platforms that process users’ online requests must be capable of handling unexpected spikes in arrival rates. These platforms, which are composed of distributed components, can be configured with parameters to ensure both t...

  • Article
  • Open Access
3 Citations
1,259 Views
10 Pages

9 September 2023

If an unexpected vibration or force is expected to be generated during operation, a vibration mount must be installed beneath the support system. A mass-block can be considered to reduce the structure basement fundamental frequency of the basement. T...

  • Article
  • Open Access
4 Citations
2,946 Views
22 Pages

20 January 2025

With the continuous advancement of deep neural networks, salient object detection (SOD) in natural images has made significant progress. However, SOD in optical remote sensing images (ORSI-SOD) remains a challenging task due to the diversity of objec...

  • Article
  • Open Access
9 Citations
3,803 Views
14 Pages

Adaptive Intelligent Model Predictive Control for Microgrid Load Frequency

  • Dong Zhao,
  • Shuyan Sun,
  • Ardashir Mohammadzadeh and
  • Amir Mosavi

19 September 2022

In this paper, self-tuning model predictive control (MPC) based on a type-2 fuzzy system for microgrid frequency is presented. The type-2 fuzzy system calculates the parameters and coefficients of the control system online. In the microgrid examined,...

  • Article
  • Open Access
10 Citations
3,629 Views
14 Pages

10 February 2020

Sensor differential signals are widely used in many systems. The tracking differentiator (TD) is an effective method to obtain signal differentials. Differential calculation is noise-sensitive. There is the characteristics of low-pass filter (LPF) in...

  • Article
  • Open Access
1 Citations
2,189 Views
16 Pages

15 January 2023

The stability and convergence analysis of a multivariable stochastic self-tuning system (STC) is very difficult because of its highly nonlinear structure. In this paper, based on the virtual equivalent system method, the structural nonlinear or nonli...

  • Article
  • Open Access
26 Citations
11,291 Views
17 Pages

A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM)

  • Alfonso Gómez-Espinosa,
  • Víctor M. Hernández-Guzmán,
  • Manuel Bandala-Sánchez,
  • Hugo Jiménez-Hernández,
  • Edgar A. Rivas-Araiza,
  • Juvenal Rodríguez-Reséndiz and
  • Gilberto Herrera-Ruíz

19 March 2013

A New Adaptive Self-Tuning Fourier Coefficients Algorithm for Periodic Torque Ripple Minimization in Permanent Magnet Synchronous Motors (PMSM) Torque ripple occurs in Permanent Magnet Synchronous Motors (PMSMs) due to the non-sinusoidal flux dens...

  • Article
  • Open Access
4 Citations
1,947 Views
14 Pages

Fab-Four Cosmography to Tackle the Hubble Tension

  • Celia Escamilla-Rivera,
  • José María de Albornoz-Caratozzolo and
  • Sebastián Nájera

In the context of the Fab-Four theory of gravity in a Friedmann-Lemaître-Robertson-Walker background, in this work we use the cosmography approach to study a particular self-tuning filter solution focused on a zero-curvature fixed point to stud...

  • Feature Paper
  • Article
  • Open Access
12 Citations
7,645 Views
15 Pages

Dual-Active Bridge Series Resonant Electric Vehicle Charger: A Self-Tuning Method

  • Alireza Namadmalan,
  • Kumars Rouzbehi,
  • Juan Manuel Escaño and
  • Carlos Bordons

This paper presents a new self-tuning loop for a bidirectional dual-active bridge (DAB) series resonant converter (SRC). For different loading conditions, the two active bridges can be controlled with a minimum time displacement between them to assur...

  • Article
  • Open Access
2,249 Views
20 Pages

This paper introduces an adaptive path-tracking control algorithm for autonomous mobility based on recursive least squares (RLS) with external conditions and covariance self-tuning. The advancement and commercialization of autonomous driving necessit...

  • Article
  • Open Access
4 Citations
3,186 Views
28 Pages

Multiresolution GPC-Structured Control of a Single-Loop Cold-Flow Chemical Looping Testbed

  • Shu Zhang,
  • Joseph Bentsman,
  • Xinsheng Lou,
  • Carl Neuschaefer,
  • Yongseok Lee and
  • Hamza El-Kebir

7 April 2020

Chemical looping is a near-zero emission process for generating power from coal. It is based on a multi-phase gas-solid flow and has extremely challenging nonlinear, multi-scale dynamics with jumps, producing large dynamic model uncertainty, which re...

  • Article
  • Open Access
14 Citations
2,815 Views
20 Pages

The automotive electronic throttle (AET) control system has been widely applied in modern automotive engines, and accurate control of AET can improve engine performance as well as reduce pollution emissions. However, the noise in the sensor circuit a...

  • Article
  • Open Access
35 Citations
4,596 Views
24 Pages

Genetic Algorithm-Based Tuning of Backstepping Controller for a Quadrotor-Type Unmanned Aerial Vehicle

  • Omar Rodríguez-Abreo,
  • Juan Manuel Garcia-Guendulain,
  • Rodrigo Hernández-Alvarado,
  • Alejandro Flores Rangel and
  • Carlos Fuentes-Silva

21 October 2020

Backstepping is a control technique based on Lyapunov’s theory that has been successfully implemented in the control of motors and robots by several nonlinear methods. However, there are no standardized methods for tuning control gains (unlike...

  • Article
  • Open Access
10 Citations
3,789 Views
17 Pages

Constant Speed Control of Hydraulic Travel System Based on Neural Network Algorithm

  • Haoyun Ye,
  • Xiangdong Ni,
  • Huajun Chen,
  • Daolin Li and
  • Wenlong Pan

10 May 2022

In order to solve the problems of poor stability of the output speed and poor synchronization of the pump-controlled dual motor in a hydraulic travel system during step input speed and external load disturbance, different control strategies were desi...

  • Article
  • Open Access
5 Citations
2,924 Views
28 Pages

27 May 2022

An LCC/SP self-tuning wireless charging system is proposed herein for use in a wireless charging test bench. With different dislocations in addition to changes in the coil self-inductance and mutual inductance caused by different secondary magnetic s...

  • Article
  • Open Access
1 Citations
2,456 Views
12 Pages

5 April 2024

The control of steam drums, used to remove heat from Fischer–Tropsch synthesis or diethyl oxalate hydrogenation, is confronted with a challenge on controlling quality. The traditional proportional–integral–differential (PID) control...

  • Article
  • Open Access
1 Citations
895 Views
19 Pages

7 September 2025

In industrial scenarios, the control of permanent magnet synchronous servo motors is mostly achieved with proportional–integral controllers, which require manual adjustment of control parameters. At the same time, the performance of the servo s...

  • Article
  • Open Access
11 Citations
4,417 Views
21 Pages

Minimum-Variance Control System with Variable Control Penalty Factor

  • Ioan Filip,
  • Florin Dragan,
  • Iosif Szeidert and
  • Adriana Albu

27 March 2020

The present paper proposes (as the main contribution) an additional self-tuning mechanism for an adaptive minimum-variance control system, whose main goal is to extend its functionality for a large value range of unmeasurable perturbations which dist...

  • Article
  • Open Access
25 Citations
5,728 Views
12 Pages

By reversing paradigms that normally utilize mathematical models as the basis for nonlinear adaptive controllers, this article describes using the controller to serve as a novel computational approach for mathematical system identification. System id...

  • Article
  • Open Access
19 Citations
3,627 Views
17 Pages

Neural Network Self-Tuning Control for a Piezoelectric Actuator

  • Wenjun Li,
  • Chen Zhang,
  • Wei Gao and
  • Miaolei Zhou

12 June 2020

Piezoelectric actuators (PEA) have been widely used in the ultra-precision manufacturing fields. However, the hysteresis nonlinearity between the input voltage and the output displacement, which possesses the properties of rate dependency and multiva...

  • Article
  • Open Access
713 Views
13 Pages

17 August 2025

Time-series forecasting is widely recognized as essential for integrating renewable energy, managing emissions, and optimizing demand across energy and environmental applications. Initially, traditional forecasting methods are hindered by limitations...

  • Article
  • Open Access
115 Views
20 Pages

17 March 2026

In aerospace applications, the vibration of aircraft structures results in a reduction in their fatigue life. Vibration-suppression technology utilizing macro fiber composite (MFC) materials constitutes a significant research direction. Aiming at the...

  • Article
  • Open Access
15 Citations
1,561 Views
11 Pages

Design and Implementation of On-Line Self-Tuning Control for PEM Fuel Cells

  • Jonathan G. Williams,
  • Guo-Ping Liu,
  • Kary Thanapalan and
  • David Rees

26 December 2008

This paper presents the modelling and real time implementation of PEM (polymer electrolyte membrane) fuel cell flow control. Flow control presents a critical performance requirement to achieving dynamic power responses for electric vehicle motor dema...

  • Article
  • Open Access
6 Citations
3,194 Views
21 Pages

22 May 2019

Designing and evaluating energy policies is a difficult challenge because the energy sector is a complex system that cannot be adequately understood without using models merging economic, social and individual perspectives. Appropriate models allow p...

  • Proceeding Paper
  • Open Access
1 Citations
2,223 Views
7 Pages

A STEM education provides students with a friendly and efficient environment for learning science, technology, engineering, and math. According to the needs of STEM programs and activities, humanoid, biped, and quadruped robots have been developed. T...

  • Article
  • Open Access
766 Views
22 Pages

6 November 2025

This paper presents a self-tuned two-stage framework for point cloud reconstruction. A parameter-free denoising module (TPDn) automatically selects thresholds through polynomial model fitting to remove noise and outliers without manual tuning. The de...

  • Article
  • Open Access
19 Citations
10,678 Views
14 Pages

29 August 2021

In this paper, in order to improve the control characteristics of the centrifugal pump flow control system, a mathematical model of the centrifugal pump flow control system was established based on an analysis of the basic structures, such as the fre...

  • Article
  • Open Access
31 Citations
8,519 Views
20 Pages

9 October 2015

In order to realize the online learning of a hybrid electric vehicle (HEV) control strategy, a fuzzy Q-learning (FQL) method is proposed in this paper. FQL control strategies consists of two parts: The optimal action-value function Q*(x,u) estimator...

  • Article
  • Open Access
24 Citations
6,805 Views
19 Pages

Reinforcement Learning Control of Hydraulic Servo System Based on TD3 Algorithm

  • Xiaoming Yuan,
  • Yu Wang,
  • Ruicong Zhang,
  • Qiang Gao,
  • Zhuangding Zhou,
  • Rulin Zhou and
  • Fengyuan Yin

19 December 2022

This paper aims at the characteristics of nonlinear, time-varying and parameter coupling in a hydraulic servo system. An intelligent control method is designed that uses self-learning without a model or prior knowledge, in order to achieve certain co...

  • Article
  • Open Access
12 Citations
3,443 Views
24 Pages

29 March 2019

Due to the strong intermittency of micro-resources, the poor grid-tied power quality, and the high generation-demand sensitivity in micro-grids, research into the control methods of micro-grid systems has always been a notable issue in the field of m...

  • Article
  • Open Access
2 Citations
1,041 Views
17 Pages

22 February 2025

Throughout its service life, an aero-engine will experience a series of health conditions due to the inevitable performance degradation of its major components, and characteristics will deviate from their initial states. For improving tracking accura...

  • Article
  • Open Access
14 Citations
6,153 Views
25 Pages

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

  • Dorin Bordeasu,
  • Octavian Prostean,
  • Ioan Filip and
  • Cristian Vasar

30 June 2023

Currently, the most implemented solution for driving a pumping system (PS) at variable speed is using a variable frequency drive (VFD). Because most of the VFDs have integrated only one proportional-integral (PI) frequency controller whose parameters...

  • Article
  • Open Access

Self-Tuning Inductance-Oriented Model-Free Predictive Current Control for Tidal Stream Turbines

  • Mengjia Cui,
  • Tianzhen Wang,
  • Xueli Wang,
  • Demba Diallo and
  • Xuefang Lin-Shi
J. Mar. Sci. Eng.2026, 14(6), 586;https://doi.org/10.3390/jmse14060586 
(registering DOI)

22 March 2026

Tidal energy is increasingly harnessed due to its high energy density, substantial reserves, and reliable predictability. However, marine fouling on turbine blades adds weight and induces asymmetric system loads; prolonged operation exacerbates gener...

  • Article
  • Open Access
1 Citations
780 Views
19 Pages

18 November 2025

Pipeline transportation of petroleum products remains one of the safest and most efficient methods of bulk energy delivery, yet overpressure events continue to pose serious operational and regulatory challenges. Traditional fixed-gain PI controllers,...

  • Article
  • Open Access
10 Citations
6,424 Views
19 Pages

The vehicle longitudinal control algorithm is the core function of the adaptive cruise control system, whose main task is to convert vehicle acceleration and deceleration requirements into vehicle driving and braking commands so that the vehicle can...

  • Article
  • Open Access
2 Citations
866 Views
20 Pages

In this paper, an Improved Manta Ray Foraging Optimization (IMRFO) algorithm is proposed to address the challenge of parameter tuning in traditional PID controllers for artillery stabilization systems. The proposed algorithm introduces chaotic mappin...

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