Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Research and Application of Intelligent Control Algorithm
share announcement

Research and Application of Intelligent Control Algorithm

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 5356

Special Issue Editor

Dr. Yanchao Sun

E-Mail Website
Guest Editor
Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 15001, China
Interests: intelligent control; marine robot; formation system; distributed control technology; ship and ocean engineering; modeling and simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Intelligent control is a control mode involving intelligent information processing, intelligent information feedback and intelligent control decision that represents an advanced stage in the development of control theory. Intelligent control is primarily used to solve the control problems of complex systems that are difficult to solve using traditional methods. Such systems commonly involve uncertain mathematical models and highly nonlinear and complex task requirements. How to combine intelligent control algorithms with various application scenarios has become the most challenging area of research directions in the field of intelligent control algorithm application and engineering. Accordingly, new system description methods and intelligent control algorithms, such as motion control and task planning, are continually developing to cope with different task scenarios and increasingly complex task requirements. 

This Special Issue focuses on the recent advances and challenges of intelligent control algorithms and applications in various fields. This special section invites both review articles and original contributions on the theory, method and application of intelligent control algorithms. The topics of interest include but are not limited to

  • Mathematical modeling and framework of intelligent control systems;
  • Research on the theory and algorithm of intelligent control systems;
  • Simulation and test technology of intelligent control algorithms;
  • Application of intelligent control algorithms in robot systems;
  • Application of intelligent control algorithm in aerospace control systems;
  • Application of intelligent control algorithm in computer/modern integrated manufacturing system and computer/modern integrated operation system;
  • Application of intelligent control algorithm in transportation systems;
  • Other related topics.

Dr. Yanchao Sun
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 8313 KiB  
Article
Model-Free Adaptive Nonsingular Fast Integral Terminal Sliding Mode Control for Wastewater Treatment Plants
by Baochang Xu, Zhongjun Wang, Zhongyao Liu, Yiqi Chen and Yaxin Wang
Appl. Sci. 2023, 13(24), 13023; https://doi.org/10.3390/app132413023 - 06 Dec 2023
Viewed by 522
Abstract
The regulation of wastewater treatment plants (WWTPs) is a challenge due to their complex biological and chemical characteristics and their accurate mathematical model is generally not accessible because of the limitation of available measurements. To overcome such challenges, in this paper, a novel [...] Read more.
The regulation of wastewater treatment plants (WWTPs) is a challenge due to their complex biological and chemical characteristics and their accurate mathematical model is generally not accessible because of the limitation of available measurements. To overcome such challenges, in this paper, a novel model-free adaptive nonsingular fast integral terminal sliding mode control (MFA-NFITSMC) is proposed. Firstly, based on the concept of dynamic linearization, a compact format dynamic linearized (CFDL) data model for the WWTP is established. Secondly, a novel fast integral terminal sliding mode surface is proposed to accelerate the convergence of tracking error and a discrete-time MFA-NFITSMC is created using the CFDL model as a basis; then, its stability is proved by theoretical analysis. Finally, the experimental verification is conducted based on the Benchmark Simulation Model No. 1 and the results show that the proposed method has a higher tracking accuracy and stronger robustness than other methods in the control of WWTPs. Full article
(This article belongs to the Special Issue Research and Application of Intelligent Control Algorithm)
►▼ Show Figures

Figure 1

15 pages, 1539 KiB  
Article
Commuted PD Controller for Nonlinear Systems: Glucose–Insulin Regulatory Case
by Gisela Pujol-Vázquez, Leonardo Acho and José Gibergans-Báguena
Appl. Sci. 2023, 13(14), 8129; https://doi.org/10.3390/app13148129 - 12 Jul 2023
Viewed by 636
Abstract
As an option to deal with insulin-dependent disease, a recently commuted PD control strategy is designed and carefully analyzed for different clinic diabetic patients. This controller approach is mainly conceived to stabilize the glucose blood concentration in a diabetic patient around its basal [...] Read more.
As an option to deal with insulin-dependent disease, a recently commuted PD control strategy is designed and carefully analyzed for different clinic diabetic patients. This controller approach is mainly conceived to stabilize the glucose blood concentration in a diabetic patient around its basal value; hence, avoiding extreme situations such as hypoglycemia and hyperglycemia. This control strategy receives two inputs carefully tuned to actuate when the measured variable is out of a prescribed healthy zone. Therefore, one of these variables is invoked to decrease the glucose concentration to insulin injection, and the other is employed to increase the glucose absorption, both by using a proper PD controller. According to our numerical experiments, our controller approach performs well, even when there is an external disturbance in the controlled system. Full article
(This article belongs to the Special Issue Research and Application of Intelligent Control Algorithm)
►▼ Show Figures

Figure 1

18 pages, 1477 KiB  
Article
Model-Assisted Online Optimization of Gain-Scheduled PID Control Using NSGA-II Iterative Genetic Algorithm
by Shen Qu, Tianyi He and Guoming Zhu
Appl. Sci. 2023, 13(11), 6444; https://doi.org/10.3390/app13116444 - 25 May 2023
Viewed by 1289
Abstract
In the practical control of nonlinear valve systems, PID control, as a model-free method, continues to play a crucial role thanks to its simple structure and performance-oriented tuning process. To improve the control performance, advanced gain-scheduling methods are used to schedule the PID [...] Read more.
In the practical control of nonlinear valve systems, PID control, as a model-free method, continues to play a crucial role thanks to its simple structure and performance-oriented tuning process. To improve the control performance, advanced gain-scheduling methods are used to schedule the PID control gains based on the operating conditions and/or tracking error. However, determining the scheduled gain is a major challenge, as PID control gains need to be determined at each operating condition. In this paper, a model-assisted online optimization method is proposed based on the modified Non-Dominated Sorting Genetic Algorithms-II (NSGA-II) to obtain the optimal gain-scheduled PID controller. Model-assisted offline optimization through computer-in-the-loop simulation provides the initial scheduled gains for an online algorithm, which then uses the iterative NSGA-II algorithm to automatically schedule and tune PID gains by online searching of the parameter space. As a summary, the proposed approach presents a PID controller optimized through both model-assisted learning based on prior model knowledge and model-free online learning. The proposed approach is demonstrated in the case of a nonlinear valve system able to obtain optimal PID control gains with a given scheduled gain structure. The performance improvement of the optimized gain-scheduled PID control is demonstrated by comparing it with fixed-gain controllers under multiple operating conditions. Full article
(This article belongs to the Special Issue Research and Application of Intelligent Control Algorithm)
►▼ Show Figures

Figure 1

34 pages, 2545 KiB  
Article
Robust Feedback Linearization Control Design for Five-Link Human Biped Robot with Multi-Performances
by Kuang-Hui Chi, Yung-Feng Hsiao and Chung-Cheng Chen
Appl. Sci. 2023, 13(1), 76; https://doi.org/10.3390/app13010076 - 21 Dec 2022
Cited by 1 | Viewed by 974
Abstract
The study first proposes the difficult nonlinear convergent radius and convergent rate formulas and the complete derivations of a mathematical model for the nonlinear five-link human biped robot (FLHBR) system which has been a challenge for engineers in recent decades. The proposed theorem [...] Read more.
The study first proposes the difficult nonlinear convergent radius and convergent rate formulas and the complete derivations of a mathematical model for the nonlinear five-link human biped robot (FLHBR) system which has been a challenge for engineers in recent decades. The proposed theorem simultaneously has very distinctive superior advantages including the stringent almost disturbance decoupling feature that addresses the major deficiencies of the traditional singular perturbation approach without annoying “complete” conditions for the discriminant function and the global exponential stability feature without solving the impractical Hamilton–Jacobi equation for the traditional H-infinity technique. This article applies the feedback linearization technique to globally stabilize the FLHBR system that greatly improved those shortcomings of nonlinear function approximator and make the effective working range be global for whole state space, whereas the traditional Jacobian linearization technique is valid only for areas near the equilibrium point. In order to make some comparisons with traditional approaches, first example of the representative ones, that cannot be addressed well for the pioneer paper, is shown to demonstrate the fact that the effectiveness of the proposed main theorem is better than the traditional singular perturbation technique. Finally, we execute a second simulation example to compare the proposed approach with the traditional PID approach. The simulation results show that the transient behaviors of the proposed approach including the peak time, the rise time, the settling time and the maximum overshoot specifications are better than the traditional PID approach. Full article
(This article belongs to the Special Issue Research and Application of Intelligent Control Algorithm)
►▼ Show Figures

Figure 1

18 pages, 3565 KiB  
Article
Hybrid Adaptive Dynamic Inverse Compensation for Hypersonic Vehicles with Inertia Uncertainty and Disturbance
by Kai-Yu Hu, Xiaochen Wang and Chunxia Yang
Appl. Sci. 2022, 12(21), 11032; https://doi.org/10.3390/app122111032 - 31 Oct 2022
Cited by 4 | Viewed by 1069
Abstract
This paper studies an intelligent hybrid compensation scheme for the uncertain parameter and disturbance of hypersonic flight vehicles (HFV). For the longitudinal model of HFV with modeling errors, a nominal nonlinear dynamic inverse (NDI) controller ensures that the system output can accurately track [...] Read more.
This paper studies an intelligent hybrid compensation scheme for the uncertain parameter and disturbance of hypersonic flight vehicles (HFV). For the longitudinal model of HFV with modeling errors, a nominal nonlinear dynamic inverse (NDI) controller ensures that the system output can accurately track the reference command. In the presence of rotational inertia uncertainty, a multi-learning law adaptive NDI controller is proposed to directly compensate for its impact on tracking performance, making the system robust to the uncertainty and reducing high maneuvering attitude angles and velocities vibration. Then, an improved adaptive NDI controller with a sliding mode disturbance observer is designed to actively compensate for the elastic mode disturbance, and continuously ensure the system’s anti-disturbance flight quality. Ultimately, this active–passive hybrid control scheme compensates for both high maneuvering inertia uncertainty and global disturbance. The Lyapunov functions prove the system’s stability, and the semi-physical simulation platform verifies the effectiveness of the method. Full article
(This article belongs to the Special Issue Research and Application of Intelligent Control Algorithm)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop