In many industrial applications, the existing constraints mandate the use of controllers of low and fixed order while typically, modern methods of optimal control produce high-order controllers. The authors seek to start to bridge the resultant gap and present a novel methodology for the design of low-order controllers such as those of the P, PI and PID types. Written in a self-contained and tutorial fashion, this book first develops a fundamental result, generalizing a classical stability theorem -- the Hermite--Biehler Theorem -- and then applies it to designing controllers that are widely used in industry. It contains material on: / current techniques for PID controller design; / stabilization of linear time-invariant plants using PID controllers; / optimal design with PID controllers; / robust and non-fragile PID controller design; / stabilization of first-order systems with time delay; / constant-gain stabilization with desired damping / constant-gain stabilization of discrete-time plants.
1. Overview of Control Systems.- 2. Some Current Techniques for PID Controller Design.- 3. The Hermite-Biehler Theorem and Its Generalization.- 4. Stabilization of Linear Time-invariant Plants Using PID Controllers.- 5. Optimal Design Using PID Controllers.- 6. Robust and Non-fragile PID Controller Design.- 7. Stabilization of First-order Systems with Time Delay.- 8. Constant Gain Stabilization with Desired Damping.- 9. Constant Gain Stabilization of Discrete-time Plants.- References.
Shankar P. Bhattacharyya, Aniruddha Datta, Lee H. Keel, USA) Bhattacharyya, Shankar P. (Texas A&M University, College Station, USA) Datta, Aniruddha (Texas A&M University, College Station, USA) Keel, Lee H. (Tennessee State University, Nashville
Shankar P. Bhattacharyya, Aniruddha Datta, Lee H. Keel, USA) Bhattacharyya, Shankar P. (Texas A&M University, College Station, USA) Datta, Aniruddha (Texas A&M University, College Station, USA) Keel, Lee H. (Tennessee State University, Nashville