Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.

Slides:



Advertisements
Similar presentations
Linear differential equations with complex exponential Inputs Motivation: Many physical systems are described by linear differential equations Many physical.
Advertisements

Dynamic Behavior of Closed-Loop Control Systems
State Variables.
Differential Equations
Chapter 10 Stability Analysis and Controller Tuning
Modern Control Theory Lecture 5 By Kirsten Mølgaard Nielsen
Chapter 8 Root Locus <<<4.1>>>
Homework 4, Problem 3 The Allee Effect. Homework 4, Problem 4a The Ricker Model.
February 24, Final Presentation AAE Final Presentation Backstepping Based Flight Control Asif Hossain.
I. Concepts and Tools Mathematics for Dynamic Systems Time Response
Modern Control Systems1 Lecture 07 Analysis (III) -- Stability 7.1 Bounded-Input Bounded-Output (BIBO) Stability 7.2 Asymptotic Stability 7.3 Lyapunov.
Modern Control Systems (MCS) Dr. Imtiaz Hussain Assistant Professor URL :
MATH 685/ CSI 700/ OR 682 Lecture Notes Lecture 10. Ordinary differential equations. Initial value problems.
Motion of a mass at the end of a spring Differential equation for simple harmonic oscillation Amplitude, period, frequency and angular frequency Energetics.
Asymptotic Techniques
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Theory-
1 Chapter 2 We need to write differential equations representing the system or subsystem. Then write the Laplace transform of the system. Then we will.
Ch. 6 Single Variable Control
Automatic Control System
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
DNT Control Principle Root Locus Techniques DNT Control Principle.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Nonlinear Controls Nonlinear Controls (3 Credits, Spring 2009) Lecture 3: Equilibrium Points, Phase Plane Analysis March 31, 2009 Instructor: M Junaid.
1 In this lecture we will compare two linearizing controller for a single-link robot: Linearization via Taylor Series Expansion Feedback Linearization.
Control Engineering Lecture# 10 & th April’2008.
ME375 Handouts - Spring 2002 MESB System Modeling and Analysis System Stability and Steady State Response.
1.1 Introduction Comparison between ACS and CCS. ACS CCS Process Actuator Measure Controller (correcting network) Structure: Process Actuator Measure.
M. Zareinejad 1.  fundamentally, instability has the potential to occur because real-world interactions are only approximated in the virtual world 
ME375 Handouts - Spring 2002 Root Locus Method.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Systems
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Chapter 6: Frequency Domain Anaysis
Lecture 5: Basic Dynamical Systems CS 344R: Robotics Benjamin Kuipers.
Modern Control Systems (MCS) Dr. Imtiaz Hussain Assistant Professor URL :
Lec 9. Root Locus Analysis I From last lecture, the locations of the closed loop poles have important implication in –Stability –Transient behavior –Steady.
Subsea Control and Communications Systems
Feedback Stabilization of Nonlinear Singularly Perturbed Systems MENG Bo JING Yuanwei SHEN Chao College of Information Science and Engineering, Northeastern.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Free SHM Superposition Superposition: the sum of solutions to an EOM is also a solution if the EOM is linear. EOM: Solutions: x and its derivatives.
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and assuming small z, we have: The Rossler equations.
Root Locus Techniques (Sketching Method) Date: 25 th September 2008 Prepared by: Megat Syahirul Amin bin Megat Ali
Dr. Tamer Samy Gaafar Automatic Control Theory CSE 322 Lec. 11 Root Locus.
Stability Analysis . A system is BIBO stable if all poles or roots of
Prof. Wahied Gharieb Ali Abdelaal
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Optimal parameters of satellite–stabilizer system in circular and elliptic orbits 2nd International Workshop Spaceflight Dynamics and Control October 9-11,
K. Zhou Menton Professor. Introduction  General nonlinear systems  Automomous (Time Invariant) Systems (does not depend explicitly on time):  Equilibrium.
Modeling interactions 1. Pendulum m – mass R – rod length x – angle of elevation Small angles x.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
Introduction Control Engineering Kim, Do Wan HANBAT NATIONAL UNIVERSITY.
SKEE 3143 Control Systems Design Chapter 2 – PID Controllers Design
Lecture 11/12 Analysis and design in the time domain using root locus North China Electric Power University Sun Hairong.
General Considerations
Automatic Control Theory CSE 322
Laplace Transforms Chapter 3 Standard notation in dynamics and control
Control Systems EE 4314 Lecture 12 March 17, 2015
Automatic control systems I
Network Analysis and Synthesis
K. Zhou Menton Professor
Lec 9. Root Locus Analysis I
Lecture 30 Wave Equation and solution (Chap.47)
Autonomous Cyber-Physical Systems: Dynamical Systems
Digital Control Systems (DCS)
Digital Control Systems (DCS)
دکتر حسين بلندي- دکتر سید مجید اسما عیل زاده
Presentation transcript:

Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory

Automatic Control Theory Exercises (36) 7 — 1,4

Automatic Control Theory ( Lecture 36 ) §7 Nonlinear Systems §7.1 Introduction §7.2 Phase Plane Method §7.3 Describing Function Method §7.4 Methods to Improve the Performance of Nonlinear Control System

Automatic Control Theory ( Lecture 36 ) §7 Nonlinear Systems §7.1 Introduction to Nonlinear Control System §7.2 Phase Plane Method

§7 Nonlinear Systems ( 1 ) §7.1 Introduction to Nonlinear Control System §7.1.1 Nonlinearities in Physics Systems Nonlinearity is the universal law in the universe There are a lot of kinds of nonlinear systems and responses. The linear model is the approximate description of practical systems under the specific conditions. §7.1.2 Typical Nonlinear Factors in Control Systems Saturation Dead Zone Clearance Relay characteristic

§7 Nonlinear Systems ( 2 ) §7.1.3 Characteristics of Nonlinear Control System (1) Does not satisfy Superposition principle—The linear theory does not apply. (2) Stability — Not only depends on the structure and parameters, but also the input and initial condition. The equilibriums may not be unique. (3) Self-Excited Oscillation — The unique motion of nonlinear systems (4) Complex in frequency response — Frequency hopping , frequency division/double Frequency, chaos. §7.1.4 Methods to Analyze Nonlinear Control System (1) Linearization by Taylor’s Expansion (2) The research method for nonlinear system (3) Simulation method: Digital simulation, Hardware-in-loop simulation Phase Plane Describing function Popov method Feedback linearization Differential geometry method

§7 Nonlinear Systems ( 3 ) Analysis of nonlinear characteristics Saturation Dead zone relay characteristic Nonlinear Characteristics Equivalent K* Affection on the system Example Oscillation↓,s  ↓ Bounded tracking velocity Transistor Steady state error↑ Remove small gain disturbance Electromotor Restrain divergence Self-excited oscillation Switches

§7 Nonlinear Systems ( 4 ) Analysis of nonlinear characteristics Relay and its equivalent gain

§7.2 Phase Plane Method ( 1 ) §7.2.1 Phase Plane Phase Plane: Phase locus : The track of the system variable and its derivative varing with time in the phase plane. Example 1 Unity feedback system (1) Phase plane and phase locus The phase plane, which can describe the state of system, is constructed by the system variable and its derivative ( )

§7.2 Phase Plane Method ( 2 ) (2) Features of phase locus For linear time-invariant system, the origin is the unique equilibrium point. The direction of movement When the phase locus intersects with x axis, it always passes through with an angle of 90° Singular point (Equilibrium point): Suppose the system equation is : Points on the phase locus with uncertain slop upper half plane — moving to the right Clockwise movement under half plane — moving to the left

§7.2 Phase Plane Method ( 3 ) Example 2 Consider the system Sketch the phase locus for the system Solution: — Elliptic Equation

§7.2 Phase Plane Method ( 4 ) Location of poles (3) Phase locus of second order linear systems Singular point Phase locus center point stable focus stable node saddle point unstable focus unstable node Location of poles Singular point Phase locus

§7.2 Phase Plane Method ( 5 ) Example 3 Consider the system Obtain the equilibriums x e and determine the characteristic of phase locus around the equilibriums Solution. Let Unstable focus By linearization Characteristic equation Saddle point

§7.2 Phase Plane Method ( 6 ) Solution. Let When Characteristic equation Linearization Center Point Saddle Point Example 4 Consider the system. Obtain the equilibriums x e and determine the characteristic of phase locus around the equilibriums

§7.2 Phase Plane Method ( 7 ) Example 5 Consider the system. Analyze its free response. Solution. Characteristic equation Stable focus Saddle point Analyze a class of nonlinear systems by the phase locus of 2nd order systems. Singular point Poles Switch Line

§7.2 Phase Plane Method ( 8 ) Solution. Characteristic equation Center Point Singular point Poles Center Point Switch line — The boundary line to divide different linear area. Equilibrium line (Singular line) — Generated by the interaction between phase locus in different area. Example 6 Consider the system. Analyze its free response.

Summary 7.1 Introduction to Nonlinear Control Systems Nonlinearities in Physics Systems Typical Nonlinear Factors in Control Systems Characteristics of Nonlinear Control System Methods to Analyze Nonlinear Control System 7.2 Phase Plane Method Phase Plane (1) Phase plane and phase locus (2) Features of phase locus (The direction of movement, Singular point, Singular line, Switched line ) (3) Phase locus of the second order linear system ( Analyze the free response a class of nonlinear systems)

Automatic Control Theory Exercises (36) 7 — 1,4