Feedforward Control ( 前馈控制 ) Dai Lian-Kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.

Slides:



Advertisements
Similar presentations
Tuning PID Controller Institute of Industrial Control,
Advertisements

Automation I. Introduction. transmitter actuator Structure of control system Process or plant Material flow sensorstransducers actuating units actuating.
Ch3 Feedback control system characteristics
CHAPTER I INTRODUCTION
Ratio Control Chapter 15.
LECTURE#08 PROCESS CONTROL STRATEGIES
Case Study #1: Boiler Control 锅炉控制
THE INTRODUCTION OF AUTOMATIC PROCESS CONTROL
Chapter 7 System Compensation (Linear Control System Design)
CHE 185 – PROCESS CONTROL AND DYNAMICS
Enhanced Single-Loop Control Strategies

Chapter Summer 2. Comparator 3. Block Blocks in Series
Chapter 11 1 Closed-Loop Responses of Simple Control Systems In this section we consider the dynamic behavior of several elementary control problems for.
CONTROL FOR HEAT EXCHANGE M. B. JENNINGS CHE 185 FEB 2006.
Chapter 8. The PID Controller Copyright © Thomas Marlin 2013
Open loop vs closed loop By Norbert Benei ZI5A58.
Luck: When preparation meets opportunity.
Introduction to Industrial Control Systems
Cascade, Ratio, and Feedforward Control
PID Feedback Controllers PID 反馈控制器
1 Overview of Control System Design Chapter 13 1.Safety. It is imperative that industrial plants operate safely so as to promote the well-being of people.
Introduction for Process Control Systems 过程控制系统概论
Process Characteristics (过程动态特性分析)
ERT 321 PROCESS CONTROL & DYNAMICS
ERT 210/4 Process Control & Dynamics
过 程 控 制过 程 控 制. 1. Reasons for Automating a Chemical Process ( 1 ) The process, whether it is being carried out in bench-scale equipment, a pilot plant,
Cascade and Ratio Control
A Typical Feedback System
Process Characteristics 过程特征
DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
Chapter 3 mathematical Modeling of Dynamic Systems
Ch6 The Root Locus Method. Main content §The Root Locus Concept §The Root Locus Procedure §Generalized root locus or Parameter RL §Parameter design by.
Model Reference Adaptive Control (MRAC). MRAS The Model-Reference Adaptive system (MRAS) was originally proposed to solve a problem in which the performance.
Control Systems and Adaptive Process. Design, and control methods and strategies 1.
بسم الله الرحمن الرحيم Advanced Control Lecture one Mohammad Ali Fanaei Dept. of Chemical Engineering Ferdowsi University of Mashhad Reference: Smith &
Open-loop control system Closed-loop control system
PID Feedback Controllers Lei XIE Department of Control, Zhejiang University, Hangzhou, China 2013/3/20.
Chapter 4 A First Analysis of Feedback Feedback Control A Feedback Control seeks to bring the measured quantity to its desired value or set-point (also.
INSTRUMENTATION & CONTROL
2/25/2001Industrial Process Control1 Dynamic Matrix Control - Introduction Developed at Shell in the mid 1970’s Evolved from representing process dynamics.
1 II. Bottom-up Determine secondary controlled variables and structure (configuration) of control system (pairing) A good control configuration is insensitive.
Tier 2Modulo 15NAMP Process Control and Process Integration 1 Created at Universidad de Guanajuato & École Polytechnique de Montréal Module 15: Process.
President UniversityErwin SitompulSMI 1/1 Dr.-Ing. Erwin Sitompul President University Lecture 1 System Modeling and Identification
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
1 Control of maldistribution of flow in parallell heat exchangers Magnus G. Jacobsen, Sigurd Skogestad Nordic Process Controi workshop, Porsgrunn
Lecture 2: Mathematical Modeling Copyright © Thomas Marlin 2013 The copyright holder provides a royalty-free license for use of this material at non-profit.
Inferential Control Control Using a Single Secondary Measurement.
Topic 5 Enhanced Regulatory Control Strategies. In The Last Lecture  Cascade Control –What is cascade control –Advantages of cascade control –Testing.
Chapter 3 : Simple Process Dynamics and Transfer Function
Introduction Control Engineering Kim, Do Wan HANBAT NATIONAL UNIVERSITY.
Name of Student : PATEL ARPITKUMAR RAJNIKANT Enrollment No
MISS. RAHIMAH BINTI OTHMAN
Control of Distillation Column (精馏塔控制)
Control of Distillation Column (精馏塔控制) Dai Lian-Kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.
Cascade Control Systems (串级控制系统)
1 PID Feedback Controllers PID 反馈控制器 Dai Lian-kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.
Feedforward Control ( 前馈控制 ) Liankui DAI Institute of Industrial Control, Zhejiang University, Hangzhou, P. R. China 2009/04/22.
Decoupling Control Schemes of Multivariable Systems ( 多变量系统的解耦控制 ) Dai Lian-Kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.
ERT 321 – Process Control & Dynamics Feedforward & Ratio Control Ms Anis Atikah Ahmad
بسم الله الرحمن الرحيم وبه نستعين
Open loop vs closed loop
ERT 321 – Process Control & Dynamics Feedforward & Ratio Control
Workshop for Flipped Class
Feedforward Control (前馈控制)
Digital Control Systems & Digital PID Controller
Course PEF3006 Process Control Fall 2018 Feedforward Control
Process Control Engineering
Enhanced Single-Loop Control Strategies
Overview of Control System
Presentation transcript:

Feedforward Control ( 前馈控制 ) Dai Lian-Kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University

Discussion problems Why do people prefer to apply the cascade control strategy ? When can we use the cascade control ? What’s the differences among cascade control, simple control and feedforward /feedback control ?

Contents Feedforward Concept Design of Linear Feedforward Controllers Design of Nonlinear Feedforward Controllers Design Examples of Feedforward Control Feedforward-Feedback Control Simulation Results Summary

Problem Discussion A heat exchanger is shown in the figure, it is required to control the outlet temperature of process fluid, T, by manipulating the steam flow, R V. Please design the relevant control schemes on the diagram for the following cases: Case #1: both of the flow, R F, and steam inlet pressure, P V, are stable; Case #2: R F is stable, but P V varies frequently; Case #3: P V is stable, but R F varies frequently; Case #4: both of P V and R F varies frequently.

Feedback or Feedforward Control Examples Feedback Control SchemeFeedforward Control Scheme

Feedforward Concept D 1 (t), …, D n (t) represent some measurable disturbances to the controlled variable Idea: to compensate for some measurable disturbances before they affect the controlled variable.

Feedforward / Feedback Control D(t) represent some main measurable disturbances

Design of Linear Feedforward Controllers Design Objective:

Design of Linear Feedforward Controllers (cont.) Design formula for the feedforward controller: Design Objective:

Design of Linear Feedforward Controllers (cont.) Design formula for the feedforward controller: ( Why ? )

Types of Feedforward Controllers Steady-State or Dynamic Feedforward Controller ( 静态前馈控制与动态前馈控制 ) Linear or nonlinear Feedforward Controller ( 线性前馈控制与非线性前馈控制 ) Discuss the common-used feedforward controller

Simulation Results of Linear Feedforward Controllers (Please see…/FFControl /ExHeaterLinearFFC.mdl)

Simulation Results of Linear Feedforward Controllers (Please see…/FFControl /ExHeaterLinearFFC.mdl)

Nonlinear Steady-state Feedforward Control Steady-state Equation Discuss the realization of nonlinear feedforward controller and the effect of relevant measurements

Nonlinear Steady-State Feedforward Control Simulation (Please see …/FFControl/ExHeaterStaticFFC.mdl)

Comparison of Feedforward and Feedback Control Feedforward ControlFeedback Control Disturbances are measurableCV is measurable Control MV based on disturbances Control MV based on control ERROR Open-loop, No Stability Problem Closed-loop, Stability is the most important Only some disturbances are detected All disturbances are detected Accurate model needed for both of Control and Disturbance Paths No accurate model needed Not adaptable to nonlinear or time-varied systems Adaptable to nonlinear or time- varied systems

FFC+FBC Scheme #1 for Heat Exchanger Steady-state output and smooth switch problem ?

FFC+FBC Scheme #2 for Heat Exchanger

FFC+FBC Scheme #3 for Heat Exchanger Steady-state Equation is If main disturbances are from P V, R F ; how can you improve control performances ?

Problem Discussion A heat exchanger is shown in the figure, it is required to control the outlet temperature of process fluid, T, by manipulating the steam flow, R V. Please design the relevant control schemes on the diagram for the following cases: Case #1: both of the flow, R F, and steam inlet pressure, P V, are stable; Case #2: R F is stable, but P V varies frequently; Case #3: P V is stable, but R F varies frequently; Case #4: both of P V and R F varies frequently.

Summary Cases which may introduce feedforward control (1) Primary Controlled Variable is not measurable (2) Primary CV is measurable, but some disturbances are too strong for feedback control systems Conditions to apply feedforward control (1) Main disturbances are measurable (2) Response speed of disturbance path is slower than that of control path (3) Characteristics of disturbance and control path are almost invariable