Motion Control of Underactuated Mechanical Systems - Practical Control
Motion Control of Underactuated Mechanical Systems - Practical Control
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In this review of Motion Control of Underactuated Mechanical Systems the authors present a focused, engineering-oriented study aimed at researchers and graduate students who need a unified approach to controlling underactuated mechanisms. The single biggest reason to buy is that the book moves from parameter identification through real-time implementation to advanced motion control algorithms for two classic experimental platforms, making it particularly valuable for anyone implementing and testing controllers on hardware. The review highlights clarity of presentation, practical algorithm details, and direct applicability to laboratory setups.
Key Features
- Unified perspective: Presents a coherent framework that links parameter identification to motion control, which helps readers see how theory maps to implementation.
- Real-time implementation: Describes practical, real-time techniques so engineers can move algorithms from simulation to physical testbeds with less trial and error.
- Concrete case studies: Provides detailed algorithms for the Furuta pendulum and the inertia wheel pendulum, useful for hands-on experimentation and comparative study.
- Trajectory tracking focus: Solves motion control by tracking a trajectory in one joint while regulating another, addressing a common control challenge in underactuated systems.
- Extension guidance: Offers discussion on how the developed methods scale to higher degrees of freedom, aiding research that moves beyond two-DOF systems.
Who It's For
This book is aimed squarely at control engineers, robotics researchers, and graduate students who are implementing or testing controllers on physical underactuated platforms and who need algorithms that have been worked through to real-time implementation. It is especially useful for labs using the Furuta pendulum or inertia wheel pendulum as benchmark systems.
Readers seeking an introductory textbook in basic control theory or a broad survey of robotic hardware outside underactuated mechanical systems should look elsewhere; the treatment here assumes familiarity with control concepts and an interest in experimental implementation.
Pros & Cons
Pros
- Detailed, practical algorithms that bridge theory and hardware implementation for common two-DOF testbeds.
- Clear treatment of parameter identification, enabling robust controller tuning on real systems.
- Useful discussion on extending methods to more complex, higher-degree-of-freedom systems.
Cons
- The focus on two specific pendulum platforms means readers working on very different hardware will need to adapt methods rather than apply them directly.
Specifications
| Title | Motion Control of Underactuated Mechanical Systems |
| Series | Intelligent Systems, Control and Automation: Science and Engineering, 88 |
| Authors | Javier Moreno-Valenzuela, Carlos Aguilar-Avelar |
| Main focus | Control and motion tracking for underactuated mechanical systems |
| Case studies | Furuta pendulum; inertia wheel pendulum |
| Key topics | Parameter identification; real-time implementation; trajectory tracking |
Our Verdict
Motion Control of Underactuated Mechanical Systems is a practical, well-structured reference for engineers and graduate students who need tested algorithms and implementation guidance for two-DOF experimental platforms. Its emphasis on parameter identification and real-time control makes it good value for labs and researchers focused on moving controllers from simulation to hardware.
Frequently Asked Questions
Does the book include implementation details for real hardware?
Yes. It emphasizes real-time parameter identification and provides algorithms specifically applied to the Furuta and inertia wheel pendulums.
Is this suitable for beginners in control theory?
The text assumes familiarity with control concepts and is best for graduate students or engineers rather than complete beginners.
Are extensions to larger systems covered?
Yes. The authors discuss how the presented methods can be extended to higher degrees-of-freedom systems.
Editor's Take
A practical, implementation-focused reference for control engineers and graduate students, offering tested algorithms and real-time parameter identification for Furuta and inertia wheel pendulum platforms.

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