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9789400700222

Linear and Nonlinear Control of Small-scale Unmanned Helicopters

by ;
  • ISBN13:

    9789400700222

  • ISBN10:

    9400700229

  • Format: Hardcover
  • Copyright: 2010-10-06
  • Publisher: Springer Verlag
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List Price: $179.99

Summary

There has been significant interest for designing flight controllers for small-scale unmanned helicopters. Such helicopters preserve all the physical attributes of their full-scale counterparts, being at the same time more agile and dexterous. This book presents a comprehensive and well justified analysis for designing flight controllers for small-scale unmanned helicopters guarantying flight stability and tracking accuracy. The design of the flight controller is a critical and integral part for developing an autonomous helicopter platform. Helicopters are underactuated, highly nonlinear systems with significant dynamic coupling that needs to be considered and accounted for during controller design and implementation. Most reliable mathematical tools for analysis of control systems relate to modern control theory. Modern control techniques are model-based since the controller architecture depends on the dynamic representation of the system to be controlled. Therefore, the flight controller design problem is tightly connected with the helicopter modeling. This book provides a step-by-step methodology for designing, evaluating and implementing efficient flight controllers for small-scale helicopters. Design issues that are analytically covered include: '¢ An illustrative presentation of both linear and nonlinear models of ordinary differential equations representing the helicopter dynamics. A detailed presentation of the helicopter equations of motion is given for the derivation of both model types. In addition, an insightful presentation of the main rotor's mechanism, aerodynamics and dynamics is also provided. Both model types are of low complexity, physically meaningful and capable of encapsulating the dynamic behavior of a large class of small-scale helicopters. '¢ An illustrative and rigorous derivation of mathematical control algorithms based on both the linear and nonlinear representation of the helicopter dynamics. Flight controller designs guarantee that the tracking objectives of the helicopter's inertial position (or velocity) and heading are achieved. Each controller is carefully constructed by considering the small-scale helicopter's physical flight capabilities. Concepts of advanced stability analysis are used to improve the efficiency and reduce the complexity of the flight control system. Controller designs are derived in both continuous time and discrete time covering discretization issues, which emerge from the implementation of the control algorithm using microprocessors. '¢ Presentation of the most powerful, practical and efficient methods for extracting the helicopter model parameters based on input/output responses, collected by the measurement instruments. This topic is of particular importance for real-life implementation of the control algorithms. This book is suitable for students and researches interested in the development and the mathematical derivation of flight controllers for small-scale helicopters. Background knowledge in modern control is required.

Table of Contents

Introductionp. 1
Background Informationp. 1
The Mathematical Problemp. 4
Controller Designsp. 6
Linear Controller Designp. 7
Nonlinear Controller Designp. 8
Outline of the Bookp. 9
Review of Linear and Nonlinear Controller Designsp. 13
Linear Controller Designsp. 14
Nonlinear Controller Designp. 18
Remarksp. 19
Helicopter Basic Equations of Motionp. 21
Helicopter Equations of Motionp. 21
Position and Orientation of the Helicopterp. 25
Helicopter Position Dynamicsp. 26
Helicopter Orientation Dynamicsp. 27
Complete Helicopter Dynamicsp. 29
Remarksp. 30
Simplified Rotor Dynamicsp. 31
Introductionp. 31
Blade Motionp. 32
Swashplate Mechanismp. 34
Fundamental Rotor Aerodynamicsp. 36
Flapping Equations of Motionp. 40
Rotor Tip-Path-Plane Equationp. 42
First Order Tip-Path-Plane Equationsp. 43
Main Rotor Forces and Momentsp. 44
Remarksp. 45
Frequency Domain System Identificationp. 47
Mathematical Modelingp. 47
First Principles Modelingp. 48
System Identification Modelingp. 48
Frequency Domain System Identificationp. 49
Advantages of the Frequency Domain Identificationp. 50
Helicopter Identification Challengesp. 51
Frequency Response and the Coherence Functionp. 51
The CIFER Packagep. 54
Time History Data and Excitation Inputsp. 55
Linearization of the Equations of Motionp. 56
Stability and Control Derivativesp. 58
Model Identificationp. 59
Experimental Platformp. 59
Parametrized State Space Modelp. 61
Identification Setupp. 63
Time Domain Validationp. 67
Remarksp. 70
Linear Tracking Controller Design for Small-Scale Unmanned Helicoptersp. 73
Helicopter Linear Modelp. 73
Linear Controller Design Outlinep. 75
Decomposing the Systemp. 77
Velocity and Heading Tracking Controller Designp. 80
Numeric Simulation Resultsp. 126
Remarksp. 129
Time Domain Parameter Estimation and Applied Discrete Nonlinear Control for Small-Scale Unmanned Helicoptersp. 137
Introductionp. 137
Discrete System Dynamicsp. 138
Discrete Backstepping Algorithmp. 139
Angular Velocity Dynamicsp. 140
Translational Dynamicsp. 140
Yaw Dynamicsp. 142
Parameter Estimation Using Recursive Least Squaresp. 144
Parametric Modelp. 144
Experimental Resultsp. 145
Time History Data and Excitation Inputsp. 145
Validationp. 146
Control Designp. 146
Remarksp. 149
Time Domain System Identification for Small-Scale Unmanned Helicopters Using Fuzzy Modelsp. 153
Introductionp. 153
Takagi-Sugeno Fuzzy Modelsp. 153
Proposed Takagi-Sugeno System for Helicoptersp. 155
Experimental Resultsp. 156
Tunning of the Membership Function Parametersp. 156
Validationp. 157
Comparison Studiesp. 161
Summary of the Controller Designsp. 161
Experimental Resultsp. 162
First Maneuver: Forward Flightp. 162
Second Maneuver: Aggressive Forward Flightp. 163
Third Maneuver: 8 Shaped Trajectoryp. 170
Fourth Maneuver: Pirouette Trajectoryp. 171
Remarksp. 175
Epiloguep. 181
Introductionp. 181
Advantages and Novelties of the Designsp. 182
Testing and Implementationp. 183
Remarksp. 184
Appendix Fundamentals of Backstepping Controlp. 185
Integrator Backsteppingp. 186
Example of a Recursive Backstepping Designp. 187
Referencesp. 191
Table of Contents provided by Ingram. All Rights Reserved.

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