Beyond p-only control via root locus

Slides:



Advertisements
Similar presentations
Unit 4 The Performance of Second Order System Open Loop & Close Loop Open Loop: Close Loop:
Advertisements

Unit 4 The Performance of Second Order System 中華技術學院電子系 副教授 蔡樸生 副教授 林盈灝.
Design with Root Locus Lecture 9.
Nise/Control Systems Engineering, 3/e
سیستمهای کنترل خطی پاییز 1389 بسم ا... الرحمن الرحيم دکتر حسين بلندي - دکتر سید مجید اسما عیل زاده.
Loop Shaping Professor Walter W. Olson
Direct z-Domain Digital Controller Design. OUTLINE Advantages/disadvantages. Design procedures. Direct z-design examples.
PD Controller 1.Find the steady-state output due to unit-step r d. 2.Find the steady-state output due to unit-step input (with r d =0)
Chapter 10 – The Design of Feedback Control Systems
Chapter 10 – The Design of Feedback Control Systems PID Compensation Networks.
Lect. 5 Lead-Lag Control Basil Hamed
LECTURE#11 PID CONTROL AUTOMATION & ROBOTICS
Professor of Electrical Engineering
© 2009 The MathWorks, Inc. ® ® Introduction to PID Controller Design with examples in MATLAB and Simulink Dr. Bora Eryılmaz Engineering Manager Control.
PID Control and Root Locus Method
PID Controllers An Overview. PID “Actions” The PID controller has three actions. Each of these has its own purpose: 1.P-Action is infinitely sensible.
It is the time response of a system to an input that sets the criteria for our control systems. Many quantitative criteria have been defined to characterise.
INC341 Design with Root Locus
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Loop Shaping.
INC341 Design Using Graphical Tool (continue)
PID. The proportional term produces an output value that is proportional to the current error value. Kp, called the proportional gain constant.
Modern Control System EKT 308
MESB374 System Modeling and Analysis PID Controller Design
Lec 11. Common Controllers Some commonly used controllers –Proportional Controller –Integration Controller –Derivative Controller Reading: 5-8. TexPoint.
ENTC 395 Lecture 7a. Today 4 PID control –Overview –Definitions –Open loop response 4 Example –SIMULINK implementation.
Modern Control System EKT 308 Root Locus and PID controllers.
Control 3 Keypoints: PID control
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Lecture 27a: Problem Session.
SKEE 3143 Control Systems Design Chapter 2 – PID Controllers Design
BIRLA VISHWAKARMA MAHAVIDHYALAYA ELECTRONICS & TELECOMUNICATION DEPARTMENT o – ANKUR BUSA o – KHUSHBOO DESAI UNDER THE GUIDENCE.
Vision Lab System VISION SYSTEM Chapter 9. Design via Root Locus Youngjoon Han
Exercise 1 Suppose we have a simple mass, spring, and damper problem. Find The modeling equation of this system (F input, x output). The transfer function.
Page : PID Controller Chapter 3 Design of Discrete- Time control systems PID C ontroller.
Chapter 12 Design via State Space <<<4.1>>>
Dr. Hatem Elaydi Digital Control, EELE 4360 Dec. 16, 2014
Salman Bin Abdulaziz University
PID Control Systems (Proportional, Integral, Derivative)
Chapter 7 The Root Locus Method The root-locus method is a powerful tool for designing and analyzing feedback control systems The Root Locus Concept The.
Design via Root Locus (Textbook Ch.9).
Lecture 20: Root Locus for Design
Lec 14. PID Controller Design
Modern Control Systems (MCS)
Controller design by R.L.
PID Controller.
LINEAR CONTROL SYSTEMS
Controller design by R.L.
Basic Design of PID Controller
University of Virginia
Chapter 9 Design via Root Locus <<<4.1>>>
Chapter 9 Design via Root Locus <<<4.1>>>
What damping ratio range do we typically want?___0.4~1____
Digital Control Systems (DCS)
Controller design by R.L.
LAG LEAD COMPENSATOR.
Root Loci Analysis (3): Root Locus Approach to Control System Design
Compensators.
HW-03 Problem Kuo-95 (p. 377) Find the steady-state errors for step, ramp and parabolic inputs. Determine the type of the system. ) s ( R Problem.
Chapter 9. Design of Control Systems
Types of classical controllers
System models Time domain models
Figure Contributions of characteristic equation roots to closed-loop response.
Dynamical Systems Basics
Complex Numbers Exam Questions
Root-Locus Analysis (2)
Example 2-2: Multi-DOF mechanical systems
Design via Root Locus Techniques
Modern Control Systems (MCS)
HOMEWORK-03 Problem Kuo-95 (p. 377)
The Design of Feedback Control Systems
IntroductionLecture 1: Basic Ideas & Terminology
Presentation transcript:

Beyond p-only control via root locus by Frank Owen, PhD, PE polyXengineering, Inc. San Luis Obispo, California

PI, PD, PID control P-only control does not modify the root locus of the existing system It simply moves the closed-loop poles along the existing root locus Design of P-only control simply means setting KP to put the poles in a desirable location See other videos in this series to understand P-only controller design via root locus To understand PI and PD control via root locus, we need to look at the structure of those controllers Once PI and PD controller design is understood, PID is nothing new PID can be looked upon at PI with a D component or PD with an I component That is, you design the PI and add the D component to it …or you design the PD and add the I component to it

PI controller structure I control is added to a P-only controller to reduce or eliminate stead-state error Its structure is: 𝐺 𝑃𝐼 = 𝐾 𝑃 + 𝐾 𝐼 𝑠 = 𝐾 𝑃 ∙𝑠+ 𝐾 𝐼 𝑠 = 𝐾 𝑃 𝑠+ 𝐾 𝐼 𝐾 𝑃 𝑠 Thus we are adding… …a zero at − 𝐾 𝐼 𝐾 𝑃 …and a gain …a pole at the origin This changes the root locus of the system…

1st-order system with PI Without the controller: With the controller:

PD controller structure D control is added to a P-only controller to speed up the response Its structure is: 𝐺 𝑃𝐷 = 𝐾 𝑃 + 𝐾 𝐷 ∙𝑠= 𝐾 𝐷 𝑠+ 𝐾 𝑃 𝐾 𝐷 Thus we are adding… …a zero at − 𝐾 𝑃 𝐾 𝐷 …and a gain This also changes the root locus of the system…

1st-order system with PD Without the controller: With the controller: With the zero placed as shown, the CL pole makes the system slower as it migrates along the root locus.

PiD controller structure The entire PID structure is even more complicated Its structure is: 𝐺 𝑃𝐼𝐷 = 𝐾 𝑃 + 𝐾 𝐼 𝑠 + 𝐾 𝐷 ∙𝑠= 𝐾 𝐷 ∙ 𝑠 2 + 𝐾 𝑃 ∙𝑠+ 𝐾 𝐼 𝑠 Thus we are adding… …and two zeros …a pole at the origin The zeros may be added wherever you like, real or complex, by choosing KP , KI , and KD .