Mbihi, Jean.
Analog automation and digital feedback control techniques / Jean Mbihi. - London : Hoboken, NJ : ISTE Ltd. ; John Wiley & Sons, Inc., 2018. - 1 online resource. - Systems and industrial engineering series . - Systems and industrial engineering series. .
Includes bibliographical references and index.
Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; Introduction; PART 1. Analog Feedback Control Systems; 1. Models of Dynamic Processes; 1.1. Introduction to dynamic processes; 1.1.1. Definition, hypotheses and notations; 1.1.2. Implications of hypotheses; 1.1.3. Dynamic model: an automation perspective; 1.2. Transfer functions; 1.2.1. Existence conditions; 1.2.2. Construction; 1.2.3. General structure of a transfer function; 1.2.4. Tools for the analysis of the properties of transfer functions; 1.2.5. First- and second-order transfer functions; 1.3. State models. 1.3.1. Definition1.3.2. Illustrative example; 1.3.3. General structure of the state model; 1.4. Linear state models with constant parameters; 1.4.1. Linearization-based construction; 1.4.2. Structure of a linear state model with constant parameters; 1.4.3. Properties of a model without pure input delay (T0 = 0); 1.5. Similarity transformation; 1.6. Exercises and solutions; 2. Experimental Modeling Approach of Dynamic Processes; 2.1. Introduction to experimental modeling; 2.1.1. Problem statement; 2.1.2. Principle of experimental modeling; 2.1.3. Experimental modeling methodology. 2.2. Step response-based modeling2.2.1. Model of order 1; 2.2.2. Under-damped model of order 2 (Îℓ <1); 2.2.3. Damped model of order â#x89;Æ 2 (Strejc method); 2.3. Frequency response-based modeling; 2.4. Modeling based on ARMA model; 2.4.1. ARMA model; 2.4.2. Parameter estimation of an ARMA model; 2.5. Matlab-aided experimental modeling; 2.6. Exercises and solutions; 3. Review of Analog FeedbackControl Systems; 3.1. Open-loop analog control; 3.1.1. Principle; 3.1.2. Open-loop control; 3.2. Analog control system; 3.3. Performances of an analog control system. 3.3.1. Closed-loop transfer functions3.3.2. Performance quantities; 3.4. Simple analog controllers; 3.5. PID/PIDF controllers; 3.5.1. Structure and role of the parameters of a PID/PIDF controller; 3.5.2. Zieglerâ#x80;#x93;Nichols methods for parameter calculation; 3.5.3. Calculation of parameters by pole placement; 3.5.4. Direct calculation of optimal PID parameters; 3.5.5. LQR-based indirect calculation of optimal PID parameters; 3.5.6. Implementation of analog controllers; 3.6. Controllers described in the state space; 3.6.1. Principle and block diagram of a linear state feedback. 3.6.2. Techniques for calculating the state feedback gain3.6.3. Integral action state feedback; 3.6.4. State feedback with integral action and observer; 3.6.5. State feedback with output error compensator; 3.7. Principle of equivalence between PID and LQR controllers; 3.7.1. Proof of the equivalence principle; 3.7.2. Equivalence relation; 3.7.3. Case study; 3.8. Exercises and solutions; PART 2. Synthesis and Computer-aided Simulation of Digital Feedback Control Systems; 4. Synthesis of Digital Feedback Control Systems in the Frequency Domain; 4.1. Synthesis methodology.
This book covers various modern theoretical, technical, practical and technological aspects of computerized numerical control and control systems of deterministic and stochastic dynamical processes.
9781119516507 1119516501 9781119452836 111945283X
Automation.
Automatic control.
TECHNOLOGY & ENGINEERING--Engineering (General)
Automatic control.
Automation.
Electronic books.
TJ213
629.8
Analog automation and digital feedback control techniques / Jean Mbihi. - London : Hoboken, NJ : ISTE Ltd. ; John Wiley & Sons, Inc., 2018. - 1 online resource. - Systems and industrial engineering series . - Systems and industrial engineering series. .
Includes bibliographical references and index.
Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; Introduction; PART 1. Analog Feedback Control Systems; 1. Models of Dynamic Processes; 1.1. Introduction to dynamic processes; 1.1.1. Definition, hypotheses and notations; 1.1.2. Implications of hypotheses; 1.1.3. Dynamic model: an automation perspective; 1.2. Transfer functions; 1.2.1. Existence conditions; 1.2.2. Construction; 1.2.3. General structure of a transfer function; 1.2.4. Tools for the analysis of the properties of transfer functions; 1.2.5. First- and second-order transfer functions; 1.3. State models. 1.3.1. Definition1.3.2. Illustrative example; 1.3.3. General structure of the state model; 1.4. Linear state models with constant parameters; 1.4.1. Linearization-based construction; 1.4.2. Structure of a linear state model with constant parameters; 1.4.3. Properties of a model without pure input delay (T0 = 0); 1.5. Similarity transformation; 1.6. Exercises and solutions; 2. Experimental Modeling Approach of Dynamic Processes; 2.1. Introduction to experimental modeling; 2.1.1. Problem statement; 2.1.2. Principle of experimental modeling; 2.1.3. Experimental modeling methodology. 2.2. Step response-based modeling2.2.1. Model of order 1; 2.2.2. Under-damped model of order 2 (Îℓ <1); 2.2.3. Damped model of order â#x89;Æ 2 (Strejc method); 2.3. Frequency response-based modeling; 2.4. Modeling based on ARMA model; 2.4.1. ARMA model; 2.4.2. Parameter estimation of an ARMA model; 2.5. Matlab-aided experimental modeling; 2.6. Exercises and solutions; 3. Review of Analog FeedbackControl Systems; 3.1. Open-loop analog control; 3.1.1. Principle; 3.1.2. Open-loop control; 3.2. Analog control system; 3.3. Performances of an analog control system. 3.3.1. Closed-loop transfer functions3.3.2. Performance quantities; 3.4. Simple analog controllers; 3.5. PID/PIDF controllers; 3.5.1. Structure and role of the parameters of a PID/PIDF controller; 3.5.2. Zieglerâ#x80;#x93;Nichols methods for parameter calculation; 3.5.3. Calculation of parameters by pole placement; 3.5.4. Direct calculation of optimal PID parameters; 3.5.5. LQR-based indirect calculation of optimal PID parameters; 3.5.6. Implementation of analog controllers; 3.6. Controllers described in the state space; 3.6.1. Principle and block diagram of a linear state feedback. 3.6.2. Techniques for calculating the state feedback gain3.6.3. Integral action state feedback; 3.6.4. State feedback with integral action and observer; 3.6.5. State feedback with output error compensator; 3.7. Principle of equivalence between PID and LQR controllers; 3.7.1. Proof of the equivalence principle; 3.7.2. Equivalence relation; 3.7.3. Case study; 3.8. Exercises and solutions; PART 2. Synthesis and Computer-aided Simulation of Digital Feedback Control Systems; 4. Synthesis of Digital Feedback Control Systems in the Frequency Domain; 4.1. Synthesis methodology.
This book covers various modern theoretical, technical, practical and technological aspects of computerized numerical control and control systems of deterministic and stochastic dynamical processes.
9781119516507 1119516501 9781119452836 111945283X
Automation.
Automatic control.
TECHNOLOGY & ENGINEERING--Engineering (General)
Automatic control.
Automation.
Electronic books.
TJ213
629.8