Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems
- 1st Edition - June 1, 2025
- Author: Jinhui Zhang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 5 6 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 5 7 - 8
Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC,… Read more
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Request a sales quoteComposite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances. Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance, and conventional control methods like PID exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons.
- Offers a comprehensive exploration of control strategies across multiple chapters
- Deepens reader understanding of these methods and enhances their ability to select the most suitable approach for specific situations
- Introduces a range of Combined Disturbance Rejection Control (CDRC) methods created by merging different disturbance rejection control techniques.
- Provides readers with innovative approaches to designing control systems tailored to diverse scenarios
- Presents numerous examples and solutions for industrial control systems
Engineers who are interested in disturbance rejection and compensation techniques for practical control systems, and the researchers who are interested in theoretic research and methodology development in related fields
1. Introduction
Part I CDRC Methods for Complex Dynamic Systems:
2. DOB and ISMC Based CDRC for Systems With Disturbances
2.1 Introduction
2.2 System Description
2.3 DOB-Based ISMC
2.4 Memory DOB-ISMC
2.5 Numerical Simulations and Experiments
2.6 Conclusions
3. ESO Based Cooperative CDRC for Multi-Agent Systems With Disturbances
3.1 Introduction
3.2 Preliminaries
3.3 System Description
3.4 ESO-Based Leader-Follower Consensus Algorithm
3.5 Numerical Simulations
3.6 Conclusions
4. DOB Based CDRC for Markovian Jumping Systems With Disturbances
4.1 Introduction
4.2 System Description
4.3 DOB-Based Composite Controllers
4.4 Numerical Simulations
4.5 Conclusions
5. Extended SMO Based CDRC for Markovian Jumping Systems With Disturbances
5.1 Introduction
5.2 System Description
5.3 Extended SMOs
5.4 Extended SMO Based Composite Controllers
5.5 Numerical Simulations
5.6 Conclusions
6. Fuzzy SMC for Nonlinear Systems With Disturbances
6.1 Introduction
6.2 System Description
6.3 Memoryless Fuzzy SMC
6.4 Memory-Based Fuzzy SMC
6.5 Numerical Simulations and Experiments
6.6 Conclusions
7. DOB and SMC Based Fuzzy Fixed-Time CDRC for Nonlinear Systems With Disturbances
7.1 Introduction
7.2 System Description
7.3 DOB-Based Adaptive Fixed-Time Fuzzy SMC
7.4 Numerical Simulations
7.5 Conclusions
Part II CDRC Applications
8. ESO-Based Composite Attitude Control for Quadrotor with Disturbances
8.1 Introduction 8.2 System Description
8.3 Composite Disturbance Rejection Attitude Control for Quadrotor
8.4 Numerical Simulations and Experiments
8.5 Conclusions
9. DOB-Based Composite Attitude Control for Rigid Spacecraft With Disturbances
9.1 Introduction
9.2 System Description
9.3 IDO based TSMC
9.4 Simulation and Analysis
9.5 Conclusions
10. DOB-Based Composite Trajectory Tracking Control for Robot Manipulator With Disturbances
10.1 Introduction
10.2 System Description
10.3 Disturbance Observer Based Chattering-Free PISMC
10.4 Simulation 10.5 Conclusion
11. Variable Gain Composite Trajectory Tracking Control for Four-Mecanum-Wheel Mobile Vehicle
11.1 Introduction
11.2 System Description
11.3 Variable Gain Composite Trajectory Tracking Control
11.4 Numerical Simulations
11.5 Experiment Results
11.6 Conclusions
12. Variable Gain Composite Trajectory Tracking Control of Pneumatic Servo System
12.1 Introduction
12.2 System Description
12.3 Variable Gain Active Disturbance Rejection Controller
12.4 Simulation Results
12.5 Experiment Results
12.6 Conclusions
Part I CDRC Methods for Complex Dynamic Systems:
2. DOB and ISMC Based CDRC for Systems With Disturbances
2.1 Introduction
2.2 System Description
2.3 DOB-Based ISMC
2.4 Memory DOB-ISMC
2.5 Numerical Simulations and Experiments
2.6 Conclusions
3. ESO Based Cooperative CDRC for Multi-Agent Systems With Disturbances
3.1 Introduction
3.2 Preliminaries
3.3 System Description
3.4 ESO-Based Leader-Follower Consensus Algorithm
3.5 Numerical Simulations
3.6 Conclusions
4. DOB Based CDRC for Markovian Jumping Systems With Disturbances
4.1 Introduction
4.2 System Description
4.3 DOB-Based Composite Controllers
4.4 Numerical Simulations
4.5 Conclusions
5. Extended SMO Based CDRC for Markovian Jumping Systems With Disturbances
5.1 Introduction
5.2 System Description
5.3 Extended SMOs
5.4 Extended SMO Based Composite Controllers
5.5 Numerical Simulations
5.6 Conclusions
6. Fuzzy SMC for Nonlinear Systems With Disturbances
6.1 Introduction
6.2 System Description
6.3 Memoryless Fuzzy SMC
6.4 Memory-Based Fuzzy SMC
6.5 Numerical Simulations and Experiments
6.6 Conclusions
7. DOB and SMC Based Fuzzy Fixed-Time CDRC for Nonlinear Systems With Disturbances
7.1 Introduction
7.2 System Description
7.3 DOB-Based Adaptive Fixed-Time Fuzzy SMC
7.4 Numerical Simulations
7.5 Conclusions
Part II CDRC Applications
8. ESO-Based Composite Attitude Control for Quadrotor with Disturbances
8.1 Introduction 8.2 System Description
8.3 Composite Disturbance Rejection Attitude Control for Quadrotor
8.4 Numerical Simulations and Experiments
8.5 Conclusions
9. DOB-Based Composite Attitude Control for Rigid Spacecraft With Disturbances
9.1 Introduction
9.2 System Description
9.3 IDO based TSMC
9.4 Simulation and Analysis
9.5 Conclusions
10. DOB-Based Composite Trajectory Tracking Control for Robot Manipulator With Disturbances
10.1 Introduction
10.2 System Description
10.3 Disturbance Observer Based Chattering-Free PISMC
10.4 Simulation 10.5 Conclusion
11. Variable Gain Composite Trajectory Tracking Control for Four-Mecanum-Wheel Mobile Vehicle
11.1 Introduction
11.2 System Description
11.3 Variable Gain Composite Trajectory Tracking Control
11.4 Numerical Simulations
11.5 Experiment Results
11.6 Conclusions
12. Variable Gain Composite Trajectory Tracking Control of Pneumatic Servo System
12.1 Introduction
12.2 System Description
12.3 Variable Gain Active Disturbance Rejection Controller
12.4 Simulation Results
12.5 Experiment Results
12.6 Conclusions
- No. of pages: 330
- Language: English
- Edition: 1
- Published: June 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443300561
- eBook ISBN: 9780443300578
JZ
Jinhui Zhang
Jinhui Zhang earned his Ph.D. in Control Science and Engineering from Beijing Institute of Technology, China, in 2011. Prior to that, he held research roles at the University of Hong Kong and City University of Hong Kong in 2010-2011. He also served as a Visiting Fellow at the University of Western Sydney, Australia, in 2013.
Later, he became an Associate Professor at Beijing University of Chemical Technology from 2011 to 2016 and a Professor at Tianjin University's School of Electrical and Automation Engineering from 2016 to 2016. Since joining Beijing Institute of Technology in October 2016, he has held the position of Professor. His research centres on networked control systems and composite disturbance rejection control.
Affiliations and expertise
Beijing Institute of Technology, China