Control Engineering Step by Step: Designing and Optimizing Automated Processes: Foundations, Principles & Techniques for Engineers (Step By Step Subject Guides) by Robert Wilson
English | November 14, 2024 | ISBN: N/A | ASIN: B0DN6DGK25 | 166 pages | PDF | 2.59 Mb
English | November 14, 2024 | ISBN: N/A | ASIN: B0DN6DGK25 | 166 pages | PDF | 2.59 Mb
Control Engineering Step by Step - Designing and Optimizing Automated Processes: Foundations, Principles & Techniques for Engineers is the ultimate guide to understanding and mastering the essential principles of control engineering. This book balances theoretical knowledge with practical applications, perfect for students, engineers, and professionals looking to deepen their expertise in designing efficient, reliable control systems.Why This Book?
Control engineering is the foundation of modern automation, having a key role in industries like manufacturing, energy, transportation, and healthcare. This book simplifies complex concepts, making them accessible without sacrificing depth, so readers at any level can follow along and achieve a strong grasp of control systems.Key Features:
- Step-by-Step Approach
Each chapter builds logically from introductory principles to advanced topics, ensuring readers gain a solid foundation before diving into more complex areas. - Real-World Applications
Examples from industries such as aerospace, manufacturing, and telecommunications bring the material to life, showing how control engineering principles solve real-world problems. - Practical Tools and Techniques
Explore foundational techniques like PID control, root locus, and state-space analysis, along with advanced methods like adaptive and robust control, giving you practical tools to use in your projects.
Foundational Concepts
- Overview of control systems and their evolution
- Importance and applications across industries
- Types of control systems: open-loop, closed-loop, and more
- Linear algebra and differential equations
- Laplace and Z-transform methods for system analysis
- Translating physical systems into mathematical models
- Dynamic response, stability analysis, and transfer functions
- Feedback systems, PID controllers, and tuning techniques
- Frequency response methods: Bode, Nyquist, and Nichols plots
- State-space analysis for modern control applications
- Digital control, sampling, and quantization techniques
- Optimal and adaptive control theories
- Robust control for handling system uncertainties
- Nonlinear control systems, phase plane analysis
- Industrial automation, PLCs, and SCADA systems
- The future of control engineering: AI, machine learning, and smart technologies
- Students will find this a valuable resource for understanding control engineering principles, with step-by-step explanations and exercises that build foundational knowledge.
- Early-career Engineers can use this book to bridge the gap between theory and practice, applying knowledge to real-world control systems design.
- Experienced Professionals seeking a refresher or new insights will appreciate the advanced chapters covering adaptive, robust, and digital control methods.
- A comprehensive timeline of control engineering history and innovations
- A glossary of terms to clarify key concepts and terminology