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Applied Sciences
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Advanced Control Systems and Applications
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Advanced Control Systems and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 6641

Special Issue Editors

Prof. Dr. Miaolei Zhou

E-Mail Website
Guest Editor
College of Communication Engineering, Jilin University, Changchun 130022, China
Interests: modeling and control for micro/nano devices and systems; nonlinear control theory; navigation and control of robot.
Special Issues, Collections and Topics in MDPI journals
Dr. Rui Xu

E-Mail Website
Guest Editor
Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences, Changchun, China
Interests: precision control; control theory; control technology

Special Issue Information

Dear Colleagues,

With the development and progress of technology, advanced control systems have been continuously introduced and applied in various fields, becoming an effective means to improve system performance and optimize production processes. Academic research on advanced control system design has shifted to solving challenging application problems. Many rather abstract theoretical tools seem to play an important role in practical application problems, but the design steps remain obscure. There are great challenges in implementing advanced control systems in practical applications. It was hard to find a way to tune advanced controllers to get enough performance in a reasonable time frame and find a robust solution. The main opportunity for our Special Issue lies in new technologies that solve these problems arising in the field of applied control, and it is hoped that the Special Issue will attract some of the latest contributions to advanced control system design. This Special Issue reflects the latest developments in advanced control systems.

The aim of the present Special Issue is to create a forum for experts, professionals, and readers interested in topics related to advanced control systems and applications. Specific topics of interest include (but are not limited to) the following:

  • Industrial internet-based control;
  • Advanced control theory;
  • Nonlinear control;
  • Neural network control;
  • Fuzzy control;
  • Adaptive control;
  • Iterative learning control;
  • Data-driven control;
  • Mechatronics;
  • Robotic control;
  • Automobile control;
  • Nanopositioning control
  • Aerospace applications;
  • Passive and active vibration control;
  • Bio-medical applications.

Prof. Dr. Miaolei Zhou
Dr. Rui Xu
Guest Editors

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.

Keywords

  • advanced control theory
  • nonlinear control
  • neural network control
  • fuzzy control
  • adaptive control
  • iterative learning control
  • data-driven control

Published Papers (6 papers)

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Research

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21 pages, 2647 KiB  
Article
Practice-Oriented Controller Design for an Inverse-Response Process: Heuristic Optimization versus Model-Based Approach
by Pavol Bistak, Mikulas Huba and Damir Vrancic
Appl. Sci. 2024, 14(7), 2890; https://doi.org/10.3390/app14072890 - 29 Mar 2024
Viewed by 434
Abstract
The proposed practice-oriented controller design (POCD) aims at stabilizing the system, reconstructing and compensating for disturbances while achieving fast and smooth step responses. This is achieved through a simple approach to process identification and controller tuning that takes into account control signal constraints [...] Read more.
The proposed practice-oriented controller design (POCD) aims at stabilizing the system, reconstructing and compensating for disturbances while achieving fast and smooth step responses. This is achieved through a simple approach to process identification and controller tuning that takes into account control signal constraints and measurement noise. The proposed method utilizes POCD by eliminating the influence of the unstable zero dynamics of the inverse-response processes, which limits the achievable performance. It extends the previous work on PI and PID controllers to higher-order (HO) automatic reset controllers (ARCs) with low-pass filters. It is also extended according to POCD requirements while maintaining the simplified process model. The final result is an extremely simple design for a constrained controller that provides sufficiently smooth and robust responses to a wide family of HO-ARCs with odd derivatives, designed using integral plus dead time (IPDT) models and tuned by the multiple real dominant pole method (MRDP) and the circle criterion of absolute stability. The proposed design can be considered as a generalization of the Ziegler and Nichols step response method for inverse response processes and HO-ARCs. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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21 pages, 13661 KiB  
Article
Nonlinear Robust Adaptive Control of Universal Manipulators Based on Desired Trajectory
by Yu Chen, Jianwan Ding, Yu Chen and Dong Yan
Appl. Sci. 2024, 14(5), 2219; https://doi.org/10.3390/app14052219 - 6 Mar 2024
Cited by 2 | Viewed by 689
Abstract
The introduction of a dynamic model in robot trajectory tracking control design can significantly improve its trajectory tracking accuracy, but there are many uncertainties in the robot dynamic model which can be dealt with through robust control and adaptive control. The prevailing robust [...] Read more.
The introduction of a dynamic model in robot trajectory tracking control design can significantly improve its trajectory tracking accuracy, but there are many uncertainties in the robot dynamic model which can be dealt with through robust control and adaptive control. The prevailing robust control as well as adaptive control methods require real-time computation of robot dynamics, but the extreme complexity of the robot dynamics equations makes it difficult to apply these methods in real industrial systems. To this end, this article proposes a robust adaptive control method based on the desired trajectory, which uses the desired trajectory to compute most of the control terms offline, including the robot’s nominal dynamics and regression matrices, and substantially reduces the need for real-time computation of the feedback signals. The robust term modifies the perturbation of the inertial parameters of the links, the adaptive term learns the friction coefficients of the joints online, and an additional compensation term is designed to satisfy the Lyapunov stability condition of the system. Finally, taking a universal manipulator as the experimental platform, the control performances of different control methods are compared to show the feasibility of the controller and the effective reduction in real-time computational complexity. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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27 pages, 6483 KiB  
Article
PD-Based Iterative Learning Control for the Nonlinear Low-Speed-Jitter Vibration of a Wind Turbine in Yaw Motion
by Tingrui Liu and Zhifeng Nie
Appl. Sci. 2024, 14(5), 1750; https://doi.org/10.3390/app14051750 - 21 Feb 2024
Viewed by 585
Abstract
Aiming at the nonlinear low-speed-jitter (LSJ) vibration suppression for a yaw system of a megawatt wind turbine, a kinematics mechanism of the yaw system is investigated from the perspective of tribology, and a kinematics model of the yaw system based on an equilibrium [...] Read more.
Aiming at the nonlinear low-speed-jitter (LSJ) vibration suppression for a yaw system of a megawatt wind turbine, a kinematics mechanism of the yaw system is investigated from the perspective of tribology, and a kinematics model of the yaw system based on an equilibrium position is established. On the basis of the dynamic modeling of the yaw system, a nonlinear mathematical model of the LSJ system is deduced. Based on the two lead motors’ driving of the conventional yaw motion, an innovative design with a special installation of two auxiliary motors for yaw transmission is carried out, which is integrated with a matching centralized lubrication system (CLS). Based on open-loop proportional-derivative (PD) control and the iterative learning control methods of the time-varying continuous system, the stability control and jitter amplitude suppression of the yaw system are realized by using a combined driving torque provided by the lead and auxiliary gears. From the stability and convergence of the time-domain response and the convergence of the iterative error, the effectiveness of the iterative learning control method with the PD-based regulation is verified, and its advantages for engineering applications are shown based on the algorithm solver improvement. The feasibility of the physical realization and engineering application of the control methodology is verified by using controller-hardware-in-the-loop (C-HITL) simulation technology. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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20 pages, 2367 KiB  
Article
A Novel Model-Free Adaptive Proportional–Integral–Derivative Control Method for Speed-Tracking Systems of Electric Balanced Forklifts
by Jianliang Xu, Zhen Sui, Feng Xu and Yulong Wang
Appl. Sci. 2023, 13(23), 12816; https://doi.org/10.3390/app132312816 - 29 Nov 2023
Viewed by 573
Abstract
Similar to many complex systems, the operation process of electric balanced forklifts has characteristics such as time-varying model parameters and nonlinearity. Establishing an accurate mathematical model becomes challenging, making it difficult to apply model-based control methods in engineering practice. Aiming at the longitudinal [...] Read more.
Similar to many complex systems, the operation process of electric balanced forklifts has characteristics such as time-varying model parameters and nonlinearity. Establishing an accurate mathematical model becomes challenging, making it difficult to apply model-based control methods in engineering practice. Aiming at the longitudinal control system of electric forklifts containing external disturbances, this paper proposes an improved full-format dynamic linearization model-free adaptive PID control (iFFDL-MFA-PID) method. Firstly, the full-format dynamic linearization (FFDL) method is employed to transform the operating system of the electric balanced forklift into a virtual equivalent linear data model. Secondly, the nonlinear residual term and pseudo-gradient (PG) of the data model are estimated using the difference estimation algorithm and the optimal criterion function, respectively. Furthermore, in order to enhance the robustness of the system, the idea of intelligent PID (iPID) is introduced and the principle of equivalent feedback is utilized to derive the iFFDL-MFA-PID control scheme. The design process of this scheme only requires the use of the input and output data of the system, without relying on the mathematical model of the system. Finally, the iFFDL-MFA-PID method proposed in this paper is simulated and tested with the EFG-BC/320 counterbalanced forklift equipped in the Special Equipment Testing Center and compared with the model-free adaptive control method (FFDL-MFAC) and the PID control method. Simulation results show that the speed-tracking error of the electric forklift truck under the action of the iFFDL-MFA-PID algorithm is maintained within ±0.132 m/s throughout the process, achieving higher tracking accuracy and better robustness compared to the MFAC and PID methods. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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20 pages, 10491 KiB  
Article
Deployment of Model-Based-Design-Adaptive Controllers for Monitoring and Control Mechatronic Devices
by Ramon Barber, David R. Rosa, Antonio Flores-Caballero and Santiago Garrido
Appl. Sci. 2023, 13(22), 12432; https://doi.org/10.3390/app132212432 - 17 Nov 2023
Viewed by 982
Abstract
The modeling and control of complex, non-linear, and time-changing mechatronic systems requires complex software development. They are carried out in the prototyping phase with engineering software development tools, generating models, and control algorithms that are not always easily exportable to control hardware. The [...] Read more.
The modeling and control of complex, non-linear, and time-changing mechatronic systems requires complex software development. They are carried out in the prototyping phase with engineering software development tools, generating models, and control algorithms that are not always easily exportable to control hardware. The following work offers an alternative that considers Model-Based Design using graphics-based languages, which facilitates programming tasks for modeling and controlling mechatronic devices and their transition from prototype to control hardware. Model-Based Design with high abstraction programming level capabilities provides the user with a fast coding and testing environment, suitable for laboratory prototyping and subsequent transfer to commercial embedded controllers. The proposed solution combines control hardware based on an STM32H7 microcontroller and a software development environment using graphics-based languages developed for MATLAB. The result is a solution that integrates control hardware and software in a hardware-in-the-loop paradigm. This solution provides robust and energy-saving controllers and demonstrates that an advanced control algorithm can be set up in a critical safety-compliant low-cost embedded controller via a custom model-based design. Algorithms and tools are transferred to the controller without losing the advantages gained in the prototyping phase. Finally, experimental results implementing an adaptive controller in a DC motor and in a pneumatic system are shown to validate the system. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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Review

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14 pages, 1476 KiB  
Review
A Systematic Review and Future Development of Automotive Chassis Control Technology
by Aixi Yang, Yuhui Zang, Liuliu Xu, Lanyou Li and Dapeng Tan
Appl. Sci. 2023, 13(21), 11859; https://doi.org/10.3390/app132111859 - 30 Oct 2023
Viewed by 2631
Abstract
Automotive chassis control technology plays a crucial role in ensuring the stability, performance, and safety of vehicles. This paper reviews and discusses automotive steering/braking/driving/suspension systems from perspectives of system composition, the state of the art, and key technologies. Detailed analysis is conducted on [...] Read more.
Automotive chassis control technology plays a crucial role in ensuring the stability, performance, and safety of vehicles. This paper reviews and discusses automotive steering/braking/driving/suspension systems from perspectives of system composition, the state of the art, and key technologies. Detailed analysis is conducted on critical techniques related to system fault tolerance, road feel feedback, brake force distribution strategy, electric motors, and motor controllers. The development and application of automotive chassis control technology is in line with the goals and objectives for the advancement of the automotive industry in terms of innovation, safety, and environmental sustainability. Full article
(This article belongs to the Special Issue Advanced Control Systems and Applications)
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