Intelligent Mechatronics: Perception, Optimization, and Control

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 17048

Special Issue Editors


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Guest Editor
Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin 300350, China
Interests: vehicle control; mobile robotics; flying robotics; motion control; robot control; motion/trajectory planning; dynamics analysis and control of mechatronic systems
Special Issues, Collections and Topics in MDPI journals
School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China
Interests: robotics; underactuated systems; cranes; wheeled mobile robots; constrained control
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou, China
Interests: anti-disturbance based controllers and their applications, mechatronics, system implementation with model-based design
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Guest Editor
Institute of Rail Transit, Tongji University, Shanghai 201804, China
Interests: maglev trains; offshore cranes; quay cranes and nonlinear control with applications to mechatronic systems
Special Issues, Collections and Topics in MDPI journals
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
Interests: atomic force microscopy; piezoelectric actuator; micro robot; modeling and identification; nonlinear control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Mechatronics systems are usually designed by using the principles of mechanics, electronics, and computing to generate simpler, more economical and reliable systems, which have received abundant attention from the modern industrial field. With the significant development of technology, more and more intelligent mechatronics systems are designed and used to replace parts of manual manipulations. However, the working properties of mechatronics systems may be complex and there still exist lots of open and challenging problems to be solved, which is regarded as one of the most popular research topics.

This Special Issue welcomes, the research on intelligent mechatronics systems that could effectively improve the performance of the system including perception, optimization, and control. We believe that this Special Issue will contribute a practical and comprehensive forum for exchanging novel research ideas or empirical practices.

Potential topics include but are not limited to:

  • Intelligent designing and modeling of mechatronics;
  • Deep learning;
  • Optimization;
  • Adaptive control;
  • Vibration control;
  • Learning control;
  • Fault diagnostics;
  • Other related topics on mechatronics.

Prof. Dr. Ning Sun
Dr. He Chen
Prof. Dr. Shengquan Li
Dr. Yougang Sun
Dr. Yinan Wu
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. Machines is an international peer-reviewed open access monthly 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

  • wheeled mobile robots
  • unnamed aerial vehicle
  • autonomous underwater vehicle
  • remotely operated vehicle
  • network robots
  • special robots
  • bionic robot

Published Papers (8 papers)

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Research

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17 pages, 6216 KiB  
Article
An Autonomous Maze-Solving Robotic System Based on an Enhanced Wall-Follower Approach
by Shatha Alamri, Hadeel Alamri, Wejdan Alshehri, Shuruq Alshehri, Ahad Alaklabi and Tareq Alhmiedat
Machines 2023, 11(2), 249; https://doi.org/10.3390/machines11020249 - 08 Feb 2023
Cited by 2 | Viewed by 5145
Abstract
Autonomous robots are designed to discover and interpret their surroundings and orient themselves around obstacles to reach the destination point from an initial point. Robot autonomous navigation is a requirement for maze-solving systems, where the solver robot is required to navigate the maze [...] Read more.
Autonomous robots are designed to discover and interpret their surroundings and orient themselves around obstacles to reach the destination point from an initial point. Robot autonomous navigation is a requirement for maze-solving systems, where the solver robot is required to navigate the maze area to get its desire destination location using the fastest route possible. In this paper, a new, modified wall-follower system for a maze-solving robot was proposed that overcame the infinite loop-back issue in the traditional wall-follower approaches. We also investigated and analyzed the performance of three different maze-solving algorithms and compared them with the proposed, modified wall-follower robotic system by conducting several real experiments to validate the efficiency of the developed wall-follower robotic system. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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16 pages, 4034 KiB  
Article
Structural Vibration Suppression Using a Reduced-Order Extended State Observer-Based Nonsingular Terminal Sliding Mode Controller with an Inertial Actuator
by Juan Zhai, Shengquan Li, Gongli Tan, Juan Li, Zhuang Xu and Luyao Zhang
Machines 2023, 11(1), 1; https://doi.org/10.3390/machines11010001 - 20 Dec 2022
Viewed by 1388
Abstract
In this paper, we mainly aimed to design a reduced-order extended state observer-based active vibration controller for a structural vibration control system with total disturbances, i.e., model uncertainties, higher harmonics, and external excitations. A reduced-order extended state observer (RESO)-based nonsingular terminal sliding mode [...] Read more.
In this paper, we mainly aimed to design a reduced-order extended state observer-based active vibration controller for a structural vibration control system with total disturbances, i.e., model uncertainties, higher harmonics, and external excitations. A reduced-order extended state observer (RESO)-based nonsingular terminal sliding mode vibration control (RESO–NTSMVC) method is proposed for the vibration suppression of an all-clamped plate structure with an inertial actuator. First, a second-order state space model of the thin plate, with an inertial actuator, was established by solving the dynamic partial differential equation and analyzing the physical model. Second, the total disturbances, i.e., model uncertainties, higher harmonics, and external excitations, were estimated and compensated for by using a RESO via a feedforward part. Third, a NTSMVC based on an estimated value was designed to obtain a fast-tracking rate and effective vibration suppression performance. In addition, the stability of the closed-loop system was proven by using a Lyapunov stability criterion. Finally, a semi-physical experimental instrument was built based on the MATLAB/Simulink real-time environment and the NI-PCIE6343 acquisition card to verify strong anti-disturbance performance and effective vibration control performance of the designed method. The experimental comparison results showed that the vibration amplitudes of the proposed method could be reduced by 11.7 dB, when the traditional extended state observer-based nonsingular terminal sliding mode vibration control (ESO–NTSMVC) method achieved a control effect of only 6.5 dB. The comparative experimental results showed that the proposed method possessed better vibration suppression performance and anti-disturbance performance. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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21 pages, 3275 KiB  
Article
A Digital Observer-Based Repetitive Learning Composite Control Method for Large Range Piezo-Driven Nanopositioning Systems
by Cunhuan Liu, Yongchun Fang, Yinan Wu and Zhi Fan
Machines 2022, 10(11), 1092; https://doi.org/10.3390/machines10111092 - 18 Nov 2022
Cited by 1 | Viewed by 1134
Abstract
In this study, a novel digital compound compensation method is proposed to compensate for the hysteresis nonlinearity and the drift disturbance of a piezoelectric nanopositioning system with a large range. The overall hysteresis behaviors can be divided into the static amplitude-dependent behavior and [...] Read more.
In this study, a novel digital compound compensation method is proposed to compensate for the hysteresis nonlinearity and the drift disturbance of a piezoelectric nanopositioning system with a large range. The overall hysteresis behaviors can be divided into the static amplitude-dependent behavior and the dynamic rate-dependent behavior, where the static hysteresis is compensated for by a novel discrete feedforward controller, while the dynamic hysteresis and the drift disturbance are compensated for by a novel discrete composite feedback controller composed of a drift observer-based state feedback controller and a repetitive learning controller. Compared with traditional control strategies, the proposed compound control strategy, including feedforward and feedback components, can eliminate system errors more effectively when tracking large range signals with obvious hysteresis. Moreover, the proposed online drift observer is superior over a traditional offline drift compensator both in response speed and compensation accuracy. Sufficient simulation tests and convincing tracking experiments, with large range periodic signals up to 90 μm, are carried out. And comparisons with the two classical control algorithms are performed. The tracking results show that the mean absolute error of the proposed control method is minor compared with the other two algorithms, which validates that the proposed strategy can efficiently compensate for the hysteresis nonlinearity and the drift disturbance. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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17 pages, 11330 KiB  
Article
Elastic Obstacle-Surmounting Pipeline-Climbing Robot with Composite Wheels
by Jie Li, Feng Huang, Chunlei Tu, Mengqian Tian and Xingsong Wang
Machines 2022, 10(10), 874; https://doi.org/10.3390/machines10100874 - 28 Sep 2022
Cited by 2 | Viewed by 1885
Abstract
Regular inspection and maintenance can ensure safe working conditions of transport pipelines without leakage and damage. Pipeline-climbing robots can be used for rapid inspection of pipelines, effectively reducing labor costs and time consumption. For the annular pipelines outside spherical tanks, the special distribution [...] Read more.
Regular inspection and maintenance can ensure safe working conditions of transport pipelines without leakage and damage. Pipeline-climbing robots can be used for rapid inspection of pipelines, effectively reducing labor costs and time consumption. For the annular pipelines outside spherical tanks, the special distribution and installation form presents more high obstacles, and puts forward higher requirements for the robot’s climbing performance and obstacle-surmounting ability. An elastic obstacle-surmounting pipeline-climbing robot with composite wheels is proposed in this paper. The designed elastic shock-absorbing suspension mechanisms and composite wheels were designed to increase the stability and obstacle-surmounting ability of the robot. The adjustable robot frame and rotating joint mechanisms allowed the robot to adapt to pipelines of different diameters and radians. Force analysis and simulation of obstacle surmounting by the robot were performed. Experiments were conducted on a 110-mm diameter pipeline to test the payload performance and obstacle-surmounting ability of the robot. With its elastic shock-absorbing suspension mechanisms, the pipeline-climbing robot could carry a 30 kg payload and stably climb the pipeline. The maximum height of obstacles surmounted by the composite wheels of the robot was 20 mm. In the process of surmounting obstacles, the velocity and inclination angle of the robot could remain relatively stable. This novel composite wheels and mechanisms can improve the performance of the pipeline-climbing robot and solve the problem of surmounting high obstacles. By carrying various equipment and instruments, the robot can promote the automated maintenance and inspection of complex pipelines. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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18 pages, 6443 KiB  
Article
Open-Switch Fault Detection Based on Open-Winding Five-Phase Fault-Tolerant Permanent-Magnet Motor Drives
by Ronghua Cui, Shangshang Yu and Shengquan Li
Machines 2022, 10(10), 829; https://doi.org/10.3390/machines10100829 - 21 Sep 2022
Cited by 2 | Viewed by 1192
Abstract
The difficulty of open-switch fault detection in an open-winding inverter is that the fault at the diagonally opposite position within the H-bridge power cell has the same fault characteristics. To solve this problem, this paper proposes an open-switch fault detection method based on [...] Read more.
The difficulty of open-switch fault detection in an open-winding inverter is that the fault at the diagonally opposite position within the H-bridge power cell has the same fault characteristics. To solve this problem, this paper proposes an open-switch fault detection method based on open-winding (OW) five-phase fault-tolerant permanent-magnet (FPFTPM) motor drives. The detection method includes three steps: first, the drives open-switch fault is detected by monitoring the component of the third harmonic residual in the stationary reference frame; second, the least squares iterative method based on the forgetting factor is used to identify the relationship between the residual components, which determines the faulty phase and the faulty phase current type; third, an online current injection test method is proposed to accurately identify the open-switch within the H-bridge power cell. Based on the above steps, the open-switch fault at the diagonally opposite position within the H-bridge power cell could be accurately identified. The novelty of the proposed method lies in the possibility that the open-switch fault detection of any switches within the one H-bridge power cell could be accurately achieved by an online current injection test and does not require hardware changes. The experimental results demonstrate the effectiveness of the proposed detection method. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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20 pages, 5309 KiB  
Article
A Novel Auxiliary Excretion Approach to a Lavatory Robot with Safety and Robustness
by Donghui Zhao, Zihan Zhang, Junyou Yang, Shuoyu Wang and Yokoi Hiroshi
Machines 2022, 10(8), 657; https://doi.org/10.3390/machines10080657 - 05 Aug 2022
Cited by 1 | Viewed by 1399
Abstract
The excretion behavior in daily life for the elderly and the disabled is a high frequency, high physical load, and risky behavior. Therefore, we proposed an auxiliary lavatory robot (ALR) with autonomous movement and self-cleaning capability. When the nursing staff assists a user [...] Read more.
The excretion behavior in daily life for the elderly and the disabled is a high frequency, high physical load, and risky behavior. Therefore, we proposed an auxiliary lavatory robot (ALR) with autonomous movement and self-cleaning capability. When the nursing staff assists a user in transferring from a standing or lying state to sitting on the ALR, the ALR can follow the user according to their position and posture. Over the whole transfer process, the ALR always provides the user with the best transfer position and posture, which is an effective approach to reduce workload and physical load. However, confusion and occlusion of the lower limbs between the nursing staff and the user would affect the user’s posture recognition. First, in this paper, a method combined with object segmentation and shape constraint was proposed to extract the contour of the lower limbs of the user and the nursing staff. Then, depending on the position constraint and dynamic characteristics of the legs contour and back contour of the user, a dynamic posture recognition approach based on a two-level joint probabilistic data association algorithm (JPDA) was proposed. Finally, the leg target recognition experiment, path-tracking experiment, and auxiliary excretion transfer experiment were implemented to verify the effectiveness and robustness of our proposed algorithm. The experimental results showed that our proposed method improved the safety and convenience of the user, and it also reduced the workload and physical load of the nursing staff. The ALR, integrated with the proposed method, has a good universal property for the elderly and disabled with weak motion capability in hospitals, pension centers, and families. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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13 pages, 1925 KiB  
Communication
Vibration Control of Disturbed All-Clamped Plate with an Inertial Actuator Based on Cascade Active Disturbance Rejection Control
by Luyao Zhang, Juan Li, Shengquan Li and Renjing Gu
Machines 2022, 10(7), 528; https://doi.org/10.3390/machines10070528 - 29 Jun 2022
Cited by 3 | Viewed by 1394
Abstract
In this paper, active disturbance rejection control (ADRC) is applied to the vibration control of the all-clamped plate structure with an inertial actuator. Knowing that modeling uncertainties, dynamic nonlinearities and multivariable couplings are often the major causes of a downgrading performance and instability, [...] Read more.
In this paper, active disturbance rejection control (ADRC) is applied to the vibration control of the all-clamped plate structure with an inertial actuator. Knowing that modeling uncertainties, dynamic nonlinearities and multivariable couplings are often the major causes of a downgrading performance and instability, a cascade ADRC controller is, hence, utilized to mitigate the effects of these issues. The dynamics regarding the all-clamped plate structure and inertial actuator are obtained through theoretical analysis and experimental testing. Furthermore, the real-time control experimental verification is carried out on the hardware-in-the-loop platform based on the NI PCIe-6343 data acquisition card. The comparative experimental results show that the proposed cascade ADRC controller has a better vibration suppression performance, disturbance rejection performance and decoupling ability. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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Review

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19 pages, 1676 KiB  
Review
Active Disturbance Rejection Control for Piezoelectric Smart Structures: A Review
by Juan Li, Luyao Zhang, Shengquan Li, Qibo Mao and Yao Mao
Machines 2023, 11(2), 174; https://doi.org/10.3390/machines11020174 - 27 Jan 2023
Cited by 16 | Viewed by 2247
Abstract
The piezoelectric smart structures, which can be labeled as the cream of the crop of smart structures without overstatement, are strongly impacted by a large number of uncertainties and disturbances during operation. The present paper reviews active disturbance rejection control (ADRC) technologies developed [...] Read more.
The piezoelectric smart structures, which can be labeled as the cream of the crop of smart structures without overstatement, are strongly impacted by a large number of uncertainties and disturbances during operation. The present paper reviews active disturbance rejection control (ADRC) technologies developed for application in piezoelectric smart structures, focusing on measurement, analysis, estimation, and attenuation of uncertainties/disturbances in systems. It first explained vast categories of uncertainties/disturbances with their adverse influences. Then, after a brief introduction to the application of basic ADRC in smart structures, a thorough review of recently modified forms of ADRC is analyzed and classified in terms of their improvement objectives and structural characteristics. The universal advantages of ADRC in dealing with uncertainties and its improvement on the particularity of smart structures show its broad application prospects. These improved ADRC methods are reviewed by classifying them as modified ADRC for specific problems, modified ADRC by nonlinear functions, composite control based on ADRC, and ADRC based on other models. In addition, the application of other types of active anti-disturbances technologies in smart structures is reviewed to expand horizons. The main features of this review paper are summarized as follows: (1) it can provide profound understanding and flexible approaches for researchers and practitioners in designing ADRC in the field and (2) light up future directions and unsolved problems. Full article
(This article belongs to the Special Issue Intelligent Mechatronics: Perception, Optimization, and Control)
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