Wiley - IEEE
1 primary work • 3 total works
Book 385
PID Control System Design and Automatic Tuning using MATLAB/Simulink
by Liuping Wang
Covers PID control systems from the very basics to the advanced topics
This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students, researchers, and industrial practitioners with everything they need to know about PID control systems--from classical tuning rules and model-based design to constraints, automatic tuning, cascade control, and gain scheduled control.
PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity analysis, PID control design, implementation with constraints, disturbance observer-based PID control, gain scheduled PID control systems, cascade PID control systems, PID control design for complex systems, automatic tuning and applications of PID control to unmanned aerial vehicles. It also presents resonant control systems relevant to many engineering applications. The implementation of PID control and resonant control highlights how to deal with operational constraints.
Provides unique coverage of PID Control of unmanned aerial vehicles (UAVs), including mathematical models of multi-rotor UAVs, control strategies of UAVs, and automatic tuning of PID controllers for UAVs
- Provides detailed descriptions of automatic tuning of PID control systems, including relay feedback control systems, frequency response estimation, Monte-Carlo simulation studies, PID controller design using frequency domain information, and MATLAB/Simulink simulation and implementation programs for automatic tuning
- Includes 15 MATLAB/Simulink tutorials, in a step-by-step manner, to illustrate the design, simulation, implementation and automatic tuning of PID control systems
- Assists lecturers, teaching assistants, students, and other readers to learn PID control with constraints and apply the control theory to various areas.
- Accompanying website includes lecture slides and MATLAB/ Simulink programs
PID Control System Design and Automatic Tuning using MATLAB/Simulink is intended for undergraduate electrical, chemical, mechanical, and aerospace engineering students, and will greatly benefit postgraduate students, researchers, and industrial personnel who work with control systems and their applications.
PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink
by Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, and Ki Ng
A timely introduction to current research on PID and predictive control by one of the leading authors on the subject
PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents.
- Brings together both classical control systems and predictive control systems in a logical style from introductory through to advanced levels
- Demonstrates how simulation and experimental results are used to support theoretical analysis and the proposed design algorithms
- MATLAB and Simulink tutorials are given in each chapter to show the readers how to take the theory to applications.
- Includes MATLAB and Simulink software using xPC Target for teaching purposes
- A companion website is available
Researchers and industrial engineers; and graduate students on electrical engineering courses will find this a valuable resource.
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials
by Liuping Wang and Robin Ping Guan
Discover the control engineering skills for state space control system design, simulation, and implementation
State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology.
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. More, it explores beyond traditional approaches in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference tracking, control signal constraint, sensor fusion and more. The text sequentially presents continuous-time and discrete-time state space control systems, Kalman filter and its applications in sensor fusion.
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find:
- MATLAB and Simulink tutorials in a step-by-step manner that enable the reader to master the control engineering skills for state space control system design and Kalman filter, simulation, and implementation
- An accompanying website that includes MATLAB code
- High-end illustrations and tables throughout the text to illustrate important points
- Written by experts in the field of process control and state space control systems
State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials is an ideal resource for students from advanced undergraduate students to postgraduates, as well as industrial researchers and engineers in electrical, mechanical, chemical, and aerospace engineering.