Liuping Wang - PID Control System Design and Automatic Tuning using MATLAB/Simulink
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- Название:PID Control System Design and Automatic Tuning using MATLAB/Simulink
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PID Control System Design and Automatic Tuning using MATLAB/Simulink: краткое содержание, описание и аннотация
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PID Control System Design and Automatic Tuning using MATLAB 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
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.
(solid line) together with dashed line to determin... Figure 2.7 Comparison of closed-loop step responses (Example 2.3). Key: line... Figure 2.8 One degree of freedom control system structure. Figure 2.9 Two degrees of freedom control system structure. Figure 2.10 Two degrees of freedom PI control system structure, where
and Figure 2.11 Complementary sensitivity function with bandwidth illustration. ... Figure 2.12 Nyquist diagrams using Padula and Visioli PID controller (Exampl...Figure 2.13 Complementary sensitivity function using the Padula and Visioli ...Figure 2.14 Sensitivity function using the Padula and Visioli PID controller...Figure 2.15 Comparison of closed-loop responses using Padula and Visioli PID...Figure 2.16 Nyquist diagrams using the Padula and Visioli PID controller (Ex...Figure 2.17 Sensitivity functions using Padula and Visioli PID controller (E...Figure 2.18 Closed-loop responses to disturbance and measurement noise using...Figure 2.19 Closed-loop responses to disturbance and measurement noise using...Figure 2.20 Unit step response of the eighth reactor with lines to assist ob...Figure 2.21 Magnitude of modeling errors with the first order plus delay mod...Figure 2.22 Complementary sensitivity function and graphic presentation of r...Figure 2.23 Closed-loop step responses (Example 2.7). (a) Control. (b) Outpu...
Figure 3.2 Closed-loop response (Example 3.1). (a) Control signal. (b) Outpu...Figure 3.3 Closed-loop response of PI control system (Example 3.2). (a) Cont...Figure 3.4 Closed-loop response of PID control system (Example 3.4). (a) PID...Figure 3.5 Closed-loop response of PID control system (Example 3.6). (a) PID...Figure 3.6 Reference response of the PID control system (Example 3.7). Key: ...Figure 3.7 Input disturbance rejection (Example 3.7). All controller structu...Figure 3.8 Closed-loop response (Example 3.8). (a) Control signal. (b) Outpu...Figure 3.9 Closed-loop response of resonant control (Example 3.9). (a) Distu...Figure 3.10 Sinusoidal input disturbance rejection (Example 3.10).Figure 3.11 Block diagram of the feedback and feedforward control system.Figure 3.12 Three springs and double mass system.Figure 3.13 Closed-loop responses for three springs and double mass system w...Figure 3.14 Closed-loop responses for three springs and double mass system w...Figure 3.15 Closed-loop responses with disturbance feedforward control for t...Figure 3.16 Comparison between the closed-loop output responses when using d...
repre...Figure 4.5 Closed-loop response (Example 4.3). (a) Input signal. (b) Output ...Figure 4.6 Closed-loop response (Example 4.4). (a) Input signal. (b) Output ...Figure 4.7 Closed-loop response (Example 4.4). (a) Input signal. (b) Output ...Figure 4.8 Closed-loop response (Example 4.5). (a) Input signal. (b) Output ...Figure 4.9 Closed-loop response (Example 4.5). (a) Input signal. (b) Output ...
(Example 5.5). Key: line (1)
,
; line (2)
.Figure 5.14 Magnitude of the sensitivity function (Example 5.6). Solid line:...Figure 5.15 Closed-loop control response using disturbance observer-based re...Figure 5.16 Closed-loop control response using disturbance observer-based re...
.Figure 6.2 Schematic of a double tank.Figure 6.3 Schematic of the ball and plate balancing system.Figure 6.4 Disturbance rejection. (a)
-axis response. (b)
-axis response. ...Figure 6.5 Making a square movement. (a)
-axis response. (b)
-axis respons...Figure 6.6 Making a circle movement. (a)
-axis response. (b)
-axis respons...Figure 6.7 Weighting parameters.
with quantization int...Figure 7.14 Closed-loop control response with quantization on the input sign...Figure 7.15 Simulink simulation program for cascade control with actuator qu...Figure 7.16 Cascade closed-loop control response with quantization on input ...Figure 7.17 Illustration of a backlash nonlinearity with
and
.Figure 7.18 The effect of backlash on closed-loop performance (Example 7.8, Figure 7.19 The effect of backlash on closed-loop performance (Example 7.8, Figure 7.20 Simulink simulation program for cascade control with a backlash ...Figure 7.21 The effect of backlash on cascaded closed-loop performance (Exam...Figure 7.22 Segment of data to illustrate the effect of backlash on cascaded...