Liuping Wang - 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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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 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.

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where картинка 126is typically chosen to be 0.1 (10%). картинка 127is chosen to be larger if the measurement noise is severe.

With the derivative filter a typical PD controller output is calculated as 112 - фото 128, a typical PD controller output is calculated as

(1.12) Figure 14 PD controller structure in implementation where - фото 129

Figure 14 PD controller structure in implementation where is the filtered - фото 130

Figure 1.4 PD controller structure in implementation.

where is the filtered output response using 111 In a Laplace transform the - фото 131is the filtered output response using (1.11). In a Laplace transform, the control signal is expressed as

(1.13) Figure 14shows the block diagram used for implementation of a PD controller - фото 132

Figure 1.4shows the block diagram used for implementation of a PD controller with a filter.

If the derivative filter was not considered in the design, there is a certain degree of performance uncertainty due to the introduction of the filter. This may not be ideal for many applications. Designing a PD controller with the filter included will be discussed in Section 3.4.1.

1.2.3 Proportional Plus Integral Controller

A proportional plus integral (PI) controller is the most widely used controller among PID controllers. With the integral action, the steady-state error that had existed with the proportional controller alone (see Example 1.1) is completely eliminated. The output of the controller is the sum of two terms one from the proportional function and the other from - фото 133is the sum of two terms, one from the proportional function and the other from the integral action, having the form,

(1.14) PID Control System Design and Automatic Tuning using MATLABSimulink - изображение 134

where PID Control System Design and Automatic Tuning using MATLABSimulink - изображение 135is the error signal between the reference signal картинка 136and the output картинка 137, картинка 138is the proportional gain, and картинка 139is the integral time constant. The parameter картинка 140is always positive, and its value is inversely proportional to the effect of the integral action taken by the PI controller. A smaller will result in a stronger effect of the integral action The Laplace transform - фото 141will result in a stronger effect of the integral action.

The Laplace transform of the controller output is

(1.15) with being the Laplace transform of the error signal With this the - фото 142

with картинка 143being the Laplace transform of the error signal With this the Laplace transfer function of the PI controller is expressed as - фото 144. With this, the Laplace transfer function of the PI controller is expressed as

(1.16) Figure 15shows a block diagram of the PI control system The example below is - фото 145

Figure 1.5shows a block diagram of the PI control system.

The example below is used to illustrate closed-loop control with a PI controller. For comparison purpose, we use the same plant as that used in Example 1.1.

Figure 15 PI control system Example 12 Assume that the plant is a first - фото 146

Figure 1.5 PI control system.

Example 1.2

Assume that the plant is a first order system with the transfer function:

(1.17) PID Control System Design and Automatic Tuning using MATLABSimulink - изображение 147

the PI controller has the proportional gain , and the integral time constant and 0.5 respectively. Examine the locations of the closed-loop poles. With the reference signal as a unit step signal, find the steady-state value of the closed-loop output .

Solution. We calculate the closed-loop transfer function between the reference and output signals:

(1.18) With given in 116 and in 117 we have 119 The closedloop poles of - фото 148

With given in (1.16) and in (1.17), we have

(1.19) The closedloop poles of this system are determined by the solutions of the - фото 149

The closed-loop poles of this system are determined by the solutions of the closed-loop characteristic equation,

(1.20) which are 121 If the quantity - фото 150

which are

(1.21) If the quantity then there are two identical real poles located at - фото 151

If the quantity

then there are two identical real poles located at If the quantity - фото 152

then there are two identical real poles located at

If the quantity then there are two real poles located at - фото 153

If the quantity

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