• 9 Pages temperature-control
    Temperature-control

    School: Calvin

    1 A Study On PID Temperature Control For ENGR 315, Control Systems T. VanDerPuy, Non-IEEE Member Abstract-This paper focuses on an in depth study of industrial temperature controllers, their use in a workplace environment, some terms and options as

  • 7 Pages sixth-sense
    Sixth-sense

    School: Calvin

    Man's Sixth Sense M.E. Husson, Senior Student at Calvin College Abstract- A car that controls its self is a marvel. Naturally, one of the best ways to control the car is with a control system. The car is driven by differential steering meaning that

  • 13 Pages presentation
    Presentation

    School: Calvin

    Feedback of Biological Systems Specifically Humans Ryan Bussis Samuel Stearley Introduction Tracking Balance Movement: Walking/Swimming Modeling Vestibular Sensors in Ear These are spaces in the ear filled with a liquid that moves across hairs.

  • 14 Pages mechanical-governor
    Mechanical-governor

    School: Calvin

    Controlling Speed Mechanically Engr 315 Control Systems Calvin College 8 December 2004 Brian Katerberg Andy Vander Moren The Original Governor James Watt's Flyball Governor Used to prevent steam engines from overheating while responding to the ap

  • 8 Pages flight controls
    Flight Controls

    School: Calvin

    1 Flight Control Dynamics and Unmanned Aerial Vehicles Kevin D. Palmer Calvin College, Grand Rapids, MI 49546 Unmanned Aerial Vehicles (UAVs) was evident in the Vietnam War, where 544 of them went down [4], and this was only a fraction of the 3000 p

  • 8 Pages PID Tuning Methods-Automation Study with MathCad-a
    PID Tuning Methods-Automation Study With MathCad-a

    School: Calvin

    PID Tuning Methods An Automatic PID Tuning Study with MathCad Neil Kuyvenhoven Calvin College ENGR. 315 December 19, 2002 Abstract There are several methods for tuning a PID controller. This paper takes a qualitative look at three common methods, wi

  • 10 Pages PID Temperature Controller
    PID Temperature Controller

    School: Calvin

    PID Temperature Controller Allen Bradley 1771-TCM Brian Van Eyk Background Applications Plastic injection molding Powder paint There is a need for quick and accurate temperature control Two solutions Sensor with simple logic controller Smart

  • 11 Pages NNSystems and Power Systems
    NNSystems And Power Systems

    School: Calvin

    Power Systems Application of Artificial Neural Networks. (ANN) Introduction Brief history. Structure How they work Sample Simulations. (EasyNN) Why use them (Merits and Demerits)? Current Applications NN & Power Systems Conclusion Introductio

  • 3 Pages NN-Simulations
    NN-Simulations

    School: Calvin

    Figure 5: Simulating a current transformer in simpowersystems. Figure 6: Current transformer during normal operation with primary voltage and secondary current superimposed on each other. 6 Figure 7: Current transformer showing effect of power sat

  • 14 Pages Daylight Harvesting on
    Daylight Harvesting On

    School: Calvin

    Effects of Daylight Harvesting on Electronic Lighting Control Copyright 2004 Joshua Scot Lester - Calvin College Engineering 315 Control Systems Triac Dimming Zero-crossing A dimmer controls the power to the load through a solid state switch or tri

  • 8 Pages ControllingWonderland
    ControllingWonderland

    School: Calvin

    1 Controlling Wonderland (Dec. 2003) Michael J. Bloem and Samuel L. Schoofs, Student Member, IEEE paper will evaluate the role of pollution taxes in achieving sustainable development. II. DESCRIPTION OF PREVIOUS WORK A. The Wonderland Model The Wond

  • 11 Pages 315 Presentation-kenmorgan
    315 Presentation-kenmorgan

    School: Calvin

    Fuzzy Logic Control Systems Ken Morgan ENGR 315 December 5, 2001 What is Fuzzy Logic? Fuzzy logic allows any value between 0 and 1. Fuzzy logic is a superset of Boolean logic. Fuzzy logic allows half truths such as: "The cup is both half full and

  • 2 Pages lab4
    Lab4

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 4 Mathematical Models of Systems Objectives: Study the performance of Feedback Control Systems. Effects of a third pole on the second-order system response. Equipment: Computer Lab PC Resources: 1 - Modern Co

  • 2 Pages lab1
    Lab1

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 1 Introduction to MATLAB / Simulink Objectives: 1 To help students to become familiar with MATLAB (Control Systems Toolbox) and Simulink simulation capabilities . 2 - To practice the implementation of contro

  • 2 Pages lab-2-handout-a
    Lab-2-handout-a

    School: Calvin

    ENGR 315 CALVIN COLLEGE Engineering Department MATLAB / SIMULINK - Laboratory # 2 Mathematical Models of Systems Objectives: In this lab we consider some of the issues surrounding the modeling of physical systems. Equipment: Computer Lab PC Resour

  • 9 Pages Power_Systems_Audio_Enhanced
    Power_Systems_Audio_Enhanced

    School: Calvin

    *Audio Enhanced Presentation* Controls and Power Systems By David Ringle and Scott Rydbeck Dec. 10, 2003 Engr 315 Page 1 Outline How a Power Grid Works? PowerWorld PSCAD Control Systems Aspects Frequency and Load Dec. 10, 2003 Engr 315

  • 12 Pages nn
    Nn

    School: Calvin

    Introduction to Neural Network Justin Jansen December 9th 2002 Neural Network Definition of Artificial Neural Network Fundamental concepts Where they fit in a control system What they can do and where they fail Example pattern recognition Wha

  • 6 Pages 315-robotic-arm
    315-robotic-arm

    School: Calvin

    1 Control Systems Overview for Automated Robotic Welding Machines D. A. Wykstra, Senior, Calvin College Engineering Abstract-Control Systems are overviewed and discussed for two basic divisions of robotic welding machines. The small, single operati

  • 8 Pages Stamping Press
    Stamping Press

    School: Calvin

    1 Metal Stamping Press Load Sensing: Integration of Load Measurement in Press Control Systems Matthew De Kam Abstract- Load monitoring in metal stamping presses has been an important method of measuring press performance for decades. This monitoring

  • 9 Pages temperature-control-pid
    Temperature-control-pid

    School: Calvin

    1 A Study On PID Temperature Control For ENGR 315, Control Systems T. VanDerPuy, Non-IEEE Member Abstract-This paper focuses on an in depth study of industrial temperature controllers, their use in a workplace environment, some terms and options as

  • 17 Pages chapter5-1
    Chapter5-1

    School: Calvin

    Chapter 5 The Performance of Feedback Control Systems The ability to adjust the transient and steady-state response of a feedback control system is a beneficial outcome of the design of control systems. One of the first steps in the design process i

  • 19 Pages Chapter-6
    Chapter-6

    School: Calvin

    Chapter 6 The Stability of Linear Feedback Systems The issue of ensuring the stability of a closed-loop feedback system is central to control system design. Knowing that an unstable closed-loop system is generally of no practical value, we seek meth

  • 2 Pages lab-5-handout-a
    Lab-5-handout-a

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 5 Mathematical Models of Systems Objectives: To learn about the Stability Criteria (H-W Method) and Root Locus Method for designing and analyzing feedback control systems. Equipment: Computer Lab PC Resources

  • 1 Page lab-1-handout
    Lab-1-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 1 Introduction to MATLAB / Simulink Objectives: 1 To help students to become familiar with MATLAB (Control Systems Toolbox) and Simulink simulation capabilities . 2 - To practice the implementation of contro

  • 10 Pages missile-controls
    Missile-controls

    School: Calvin

    Missile Controls ENGR 315A Prof. P. Ribeiro Presented by: Craig Mulder Outline Afghanistan How do they do that? Types of Missile Controls Physical Controls Inertial Navigation System (INS) Global Positioning System (GPS) Terrain Contour Matchi

  • 11 Pages fuzzy-Presentation-kenmorgan
    Fuzzy-Presentation-kenmorgan

    School: Calvin

    Fuzzy Logic Control Systems Ken Morgan ENGR 315 December 5, 2001 What is Fuzzy Logic? Fuzzy logic allows any value between 0 and 1. Fuzzy logic is a superset of Boolean logic. Fuzzy logic allows half truths such as: "The cup is both half full and

  • 12 Pages Traction Control
    Traction Control

    School: Calvin

    Traction Control Michael Boersma Michael LaGrand 12/10/03 Outline Methods for traction control Method studied Results Questions Traction Control Methods Control of power to wheels Control of breaks Factors used for control Velocity Yaw r

  • 13 Pages Phase Locked Loop Design
    Phase Locked Loop Design

    School: Calvin

    Phase Locked Loop Design Matt Knoll Engineering 315 Introduction What is a PLL? Control System Representation Parts of a PLL PLL in Simulink What is a PLL? Digital frequency control system Generate high speed oscillations Acquire and track s

  • 9 Pages Neural Networks Presentation
    Neural Networks Presentation

    School: Calvin

    Neural Networks Sarah Ezzell Engr. 315 What Are They? Information processing system (nonalgorithmic, non-digital) Inspired by the human brain Made of artificial neurons (neurodes) Crude approximation of biological neurons Connected by weigh

  • 5 Pages Neural Network
    Neural Network

    School: Calvin

    Neural Network Control of Power Systems. Patrick Avoke, Student Member, IEEE (Calvin College) Abstract: Like most other real world dynamical systems, power systems are non-linear hence require a convenient method of controlling the activities of the

  • 8 Pages Genetic Algorithms
    Genetic Algorithms

    School: Calvin

    Genetic Algorithms: An Examination of the Traveling Salesman Problem Troy Cok Engineering 315 December 3, 2001 Basic Overview o Genetic algorithms are attempts to model evolutionary behavior o Survival of the fittest, etc. o More than mere simulat

  • 25 Pages GPS Navigation with Kalman Filter Integration
    GPS Navigation With Kalman Filter Integration

    School: Calvin

    GPS/Dead Reckoning Navigation with Kalman Filter Integration Paul Bakker Kalman Filter "The Kalman Filter is an estimator for what is called the linearquadratic problem, which is the problem of estimating the instantaneous `state' of a li

  • 8 Pages GPS-Kalman
    GPS-Kalman

    School: Calvin

    1 Kalman Filter Fundamentals and Application to Global Position Systems and Inertial Navigation Systems Paul Bakker, Student Member IEEE, Student of Calvin College Abstract-An introduction to some of the errors present in the Global Positioning Sys

  • 9 Pages Fuzzy Logic and Fuzzy Control Systems
    Fuzzy Logic And Fuzzy Control Systems

    School: Calvin

    FUZZY LOGIC AND FUZZY LOGIC SUN TRACKING CONTROL RYAN JOHNSON DECEMBER 17, 2002 CALVIN COLLEGE ENGR315A ABSTRACT: Fuzzy logic is a rule-based decision process that seeks to solve problems where the system is difficult to model and where ambiguity or

  • 22 Pages Cruise Control
    Cruise Control

    School: Calvin

    Cruise Control Karen Lie Engr 315 Outline Introduction to Cruise Control CC Modeling CC Simulation Introduction to Adaptive Control ACC Modeling ACC Simulation Cruise Control System Input: buttons on the steering wheel, brake, clutch, ga

  • 13 Pages Cruise Control-2
    Cruise Control-2

    School: Calvin

    Cruise Control Andrew Huisjen Introduction Invented by Ralph Teetor Introduced as option on 1958 Chryslers Blind Engineer Didn't like the way his lawyer drove Got patent in 1945 Now installed on nearly 90% of new cars and truck System Co

  • 7 Pages ASD presentation
    ASD Presentation

    School: Calvin

    Adjustable Speed Drives Justin Voogt Engineering 315 ASD Basics What does an ASD do? ASD Components Regulator Process Control Converter/Rectifier AC DC AC Inverter DC Proportional Control ASD Regulator PID Control Proportional + Int

  • 2 Pages lab5
    Lab5

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 5 Mathematical Models of Systems Objectives: Study the stability of linear feedback systems. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf and Bishop 2 - Modern Control Systems - Anal

  • 1 Page lab3
    Lab3

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 3 Mathematical Models of Systems Objectives: Study the characteristics of open- and closed-loop systems. Investigate the sensitivity to parameters variation, disturbance, stability and steady-state error. Equ

  • 1 Page lab3-handout-a
    Lab3-handout-a

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 3 September 23, 2002 Mathematical Models of Systems Objectives: Study the characteristics of open- and closed-loop systems. Investigate the sensitivity to parameters variation, disturbance, stability and ste

  • 2 Pages lab-5-handout
    Lab-5-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 5 Mathematical Models of Systems Objectives: To learn about the Root Locus Method for designing and analyzing feedback control systems. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf a

  • 2 Pages lab-4-handout
    Lab-4-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 4 Mathematical Models of Systems Objectives: Study the performance of Feedback Control Systems. Effects of a third pole on the second-order system response. Equipment: Computer Lab PC Resources: 1 - Modern Co

  • 2 Pages lab-2-handout
    Lab-2-handout

    School: Calvin

    ENGR 315 CALVIN COLLEGE Engineering Department MATLAB / SIMULINK - Laboratory # 2 - Mathematical Models of Systems Objectives: In this lab we consider some of the issues surrounding the modeling of physical systems. Equipment: Computer Lab PC Reso

  • 1 Page mpt-mpw-zeta
    Mpt-mpw-zeta

    School: Calvin

    Relationship between Mpt (time domain) and Mpw (frequency domain) as a function of := 0.2, 0.21. 0.69 - Mpt( ) := 1 + e 1- 2 Mpt = function -1 2 Mpw( ) := 2 1 - 3 Mpw = function 2.5 Mpt ( ) Mpw ( ) 2 1.5 1 0.1 0.2 0.3 0.4 0.5

  • 2 Pages lab-2-2002f
    Lab-2-2002f

    School: Calvin

    ENGR 315 CALVIN COLLEGE Engineering Department MATLAB / SIMULINK - Laboratory # 2 - Mathematical Models of Systems Objectives: In this lab we consider some of the issues surrounding the modeling of physical systems. Equipment: Computer Lab PC, MAT

  • 2 Pages lab-4-handout-a
    Lab-4-handout-a

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 4 Mathematical Models of Systems Objectives: Study the performance of Feedback Control Systems. Effects of a third pole on the second-order system response. Equipment: Computer Lab PC Resources: 1 - Modern Co

  • 1 Page lab-3-handout
    Lab-3-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 3 Mathematical Models of Systems Objectives: Study the characteristics of open- and closed-loop systems. Investigate the sensitivity to parameters variation, disturbance, stability and steady-state error. Equ

  • 2 Pages lab-6-handout
    Lab-6-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 6 Mathematical Models of Systems Objectives: To learn about frequency response methods for designing analyzing and control systems. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf and

  • 2 Pages lab6
    Lab6

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 6 Mathematical Models of Systems Objectives: To learn about the Root Locus Method for designing and analyzing feedback control systems. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf a

  • 2 Pages lab2
    Lab2

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 2 Mathematical Models of Systems Objectives: In this lab we continue to consider the issues surrounding the modeling and simulation of physical systems as we become familiar with the simulation tools and basi

  • 12 Pages lab8
    Lab8

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 8 Mathematical Models of Systems Objectives: To learn about frequency response methods for designing analyzing and control systems. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf and

  • 13 Pages feedback-bilogical-systems
    Feedback-bilogical-systems

    School: Calvin

    Feedback of Biological Systems Specifically Humans Ryan Bussis Samuel Stearley Introduction Tracking Balance Movement: Walking/Swimming Modeling Vestibular Sensors in Ear These are spaces in the ear filled with a liquid that moves across hairs.

  • 13 Pages chapter-7
    Chapter-7

    School: Calvin

    Chapter 7: The Root Locus Method In the preceding chapters we discussed how the performance of a feedback system can be described in terms of the location of the roots of the characteristic equation in the s-plane. We know that the response of a clos

  • 14 Pages syllabus-315-f2004
    Syllabus-315-f2004

    School: Calvin

    Calvin College Engineering Department Engineering 315 - Control Systems Fall 2004 Professor: Paulo F. Ribeiro SB134 x 6407 pribeiro@calvin.edu http:/engr.calvin.edu/PRibeiro_WEBPAGE/ Modern Control Systems, 9th ed., Dorf and Bishop http:/cwx.prenhal

  • 3 Pages lab7
    Lab7

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 7 Mathematical Models of Systems Objectives: To learn about PID controls. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf and Bishop 2 - Modern Control Systems - Analysis and Design, Bi

  • 9 Pages fligh-controls
    Fligh-controls

    School: Calvin

    Active Aeroelastic Wing Sarah Chandrasekar Department of Engineering, Calvin College Engineering 315 Final Paper Professor Ribeiro Abstract: Aero elastic Wing will soon take the place of today's wing control. These changes ought to generate savings i

  • 8 Pages FinalPaper_315_latest
    FinalPaper_315_latest

    School: Calvin

    Flight Control Systems and Autopilots Brian Jewell Department of Engineering, Calvin College Engineering 315 Final Paper Professor Ribeiro Abstract: Autopilot systems have been crucial to flight control for decades and have been making flight easier,

  • 20 Pages PID-1
    PID-1

    School: Calvin

    Chapter 10 The Design of Feedback Control Systems PID Compensation Networks Different Types of Feedback Control On-Off Control This is the simplest form of control. Proportional Control A proportional controller attempts to perform better than the

  • 10 Pages Harvest_Control
    Harvest_Control

    School: Calvin

    Effects of Daylight Harvesting on Electronic Lighting Control J. S. Lester, Student Member, IEEE, and Senior Undergraduate, Calvin College Abstract-An effective control system is essential for optimizing natural day lighting and electric lighting fo

  • 5 Pages step-servo
    Step-servo

    School: Calvin

    A Detailed Study of Stepper and Servo Motor Controls Jason Flietstra, Student of Calvin College, Enrolled in Engr. 315 Control Systems Abstract-Automation and control systems have become an increasingly important aspect of industry. These systems all

  • 7 Pages DC-AC-Motors-Control
    DC-AC-Motors-Control

    School: Calvin

    1 Overview and Control of DC and AC Motors Brian Bouma Abstract- an overview of the differences in form and function between DC and AC motors. An in-depth analysis of the general differential equations and transfer functions of DC and AC motors. St

  • 14 Pages 315pres_diabetes
    315pres_diabetes

    School: Calvin

    Modeling Glucose-Insulin Relationship Jeremy Heersink December 6, 2002 ENGR 315 Prof. Ribeiro Outline What is diabetes? Traditional methods of treatment Model transfer function for glucoseinsulin relationship Matlab and Simulink simulations Cu

  • 8 Pages 315final.pdf
    315final.pdf

    School: Calvin

    Heersink - 1 Control Systems Representations of the Glucose Insulin Relationship and Applications for a PseudoPancreas Jeremy Heersink Abstract Control Systems can be used to model the functions of a Pancreas and the beta cells therein. Glucose and

  • 10 Pages Controlling_Wonderland
    Controlling_Wonderland

    School: Calvin

    ControllingWonderland A Project by Michael Bloem & Sam Schoofs The Wonderland Model Our Work: Matching Main Model Population Dream Horror Our Work: Matching Main Model Natural Capital Dream Horror Our Work: Matching Taxes Taxes = 1% Taxes = 25%

  • 8 Pages GPS_Navigation
    GPS_Navigation

    School: Calvin

    1 Kalman Filter Fundamentals and Application to Global Position Systems and Inertial Navigation Systems Paul Bakker, Student Member IEEE, Student of Calvin College III. OVERVIEW OF GPS Abstract-Basic guidelines for the preparation of a technical wo

  • 3 Pages lab-7-handout
    Lab-7-handout

    School: Calvin

    ENGR 315 MATLAB / SIMULINK - Laboratory # 7 Mathematical Models of Systems Objectives: To learn about PID controls. Equipment: Computer Lab PC Resources: 1 - Modern Control Systems, Dorf and Bishop 2 - Modern Control Systems - Analysis and Design, Bi

  • 3 Pages syllabus
    Syllabus

    School: Calvin

    Calvin College - Engineering Department Engineering 315 Control Systems Fall 2001 Professor: Textbooks: Paulo F. Ribeiro, EB133 x6407, pribeiro@calvin.edu Modern Control Systems, 9th ed., by Dorf and Bishop. Introduction Teaching / Learning Proces

  • 24 Pages chapter-3
    Chapter-3

    School: Calvin

    Chapter 3: State Variable Models Objectives In the preceding chapter we used the Laplace transform to obtain transfer function models representing linear, time-invariant physical systems described by ordinary differential equations. This method is at

  • 9 Pages finalpaper
    Finalpaper

    School: Calvin

    Introduction to Artificial Neural Networking Justin Jansen December 19, 2002 Abstract Neural networks have devolved from the understanding of the original biological neural network, the brain. The purpose of a neural network originally was to study

  • 14 Pages syllabus-215-f2003
    Syllabus-215-f2003

    School: Calvin

    Calvin College Engineering Department Engineering 315 - Control Systems Fall 2003 Professor: Paulo F. Ribeiro SB134 x 6407 pribeiro@calvin.edu http:/engr.calvin.edu/PRibeiro_WEBPAGE/ Modern Control Systems, 9th ed., Dorf and Bishop http:/cwx.prenhal

  • 9 Pages case-base-reasoning
    Case-base-reasoning

    School: Calvin

    CaseBasedReasoning MelanieHanson Engr315 WhatisCaseBasedReasoning? Storinginformationfromprevious experiences Usingpreviouslygainedknowledgeto solvecurrentproblems Similartohumanproblemsolving methods BasicSteps Identifytheproblem/case Lookfor

  • 41 Pages chapter-1
    Chapter-1

    School: Calvin

    Chapter 1: Introduction to Control Systems Objectives In this chapter we describe a general process for designing a control system. A control system consisting of interconnected components is designed to achieve a desired purpose. To understand the p

  • 4 Pages Summary
    Summary

    School: Calvin

    Mark T. Gordon Engr 315 December 16, 2002 Chapter 13 Chapter 13 discusses using digital computers as controllers. Since computers are becoming cheaper and more reliable, this is becoming a more popular thing to do. It is powerful because a computer c

  • 11 Pages neuro-net-vehicles
    Neuro-net-vehicles

    School: Calvin

    Using Neural Networks to Improve the Performance of an Autonomous Vehicle By Jon Cory and Matt Edwards Our Senior Design Project Miniature autonomous vehicle that navigates an indoor maze For this project we decided to study how neural networks c

  • 37 Pages chapter-5
    Chapter-5

    School: Calvin

    Chapter 5 The Performance of Feedback Control Systems The ability to adjust the transient and steady-state response of a feedback control system is a beneficial outcome of the design of control systems. One of the first steps in the design process i

  • 36 Pages chapter-10-PID-1
    Chapter-10-PID-1

    School: Calvin

    Chapter 10 The Design of Feedback Control Systems PID Compensation Networks Different Types of Feedback Control On-Off Control This is the simplest form of control. Proportional Control A proportional controller attempts to perform better than the

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