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About the Editors xi
List of Contributors xiii
Series Preface xv
Introduction xvii
Part One TWO-WHEELED VEHICLES MODELLING AND SIMULATION
1 Motorcycle Dynamics 3Vittore Cossalter, Roberto Lot, and Matteo Massaro
1.1 Kinematics 3
1.2 Tyres 6
1.3 Suspensions 13
1.4 In-Plane Dynamics 18
1.5 Out-of-Plane Dynamics 29
1.6 In-Plane and Out-of-Plane Coupled Dynamics 40
References 41
2 Dynamic Modelling of Riderless Motorcycles for Agile Manoeuvres 43Yizhai Zhang, Jingang Yi, and Dezhen Song
2.1 Introduction 43
2.2 Related Work 44
2.3 Motorcycle Dynamics 45
2.4 Tyre Dynamics Models 51
2.5 Conclusions 55
Nomenclature 55
Appendix A: Calculation of Ms 56
Appendix B: Calculation of Acceleration ¿G 57
Acknowledgements 57
References 57
3 Identification and Analysis of Motorcycle Engine-to-Slip Dynamics 59Matteo Corno and Sergio M. Savaresi
3.1 Introduction 59
3.2 Experimental Setup 60
3.3 Identification of Engine-to-Slip Dynamics 61
3.4 Engine-to-Slip Dynamics Analysis 73
3.5 Road Surface Sensitivity 78
3.6 Velocity Sensitivity 79
3.7 Conclusions 80
References 80
4 Virtual Rider Design: Optimal Manoeuvre Definition and Tracking 83Alessandro Saccon, John Hauser, and Alessandro Beghi
4.1 Introduction 83
4.2 Principles of Minimum Time Trajectory Computation 86
4.3 Computing the Optimal Velocity Profile for a Point-Mass Motorcycle 90
4.4 The Virtual Rider 102
4.5 Dynamic Inversion: from Flatland to State-Input Trajectories 103
4.6 Closed-Loop Control: Executing the Planned Trajectory 107
4.7 Conclusions 115
4.8 Acknowledgements 116
References 116
5 The Optimal Manoeuvre 119Francesco Biral, Enrico Bertolazzi, and Mauro Da Lio
5.1 The Optimal Manoeuvre Concept: Manoeuvrability and Handling 121
5.2 Optimal Manoeuvre as a Solution of an Optimal Control Problem 133
5.3 Applications of Optimal Manoeuvre to Motorcycle Dynamics 145
5.4 Conclusions 152
References 152
6 Active Biomechanical Rider Model for Motorcycle Simulation 155Valentin Keppler
6.1 Human Biomechanics and Motor Control 156
6.2 The Model 161
6.3 Simulations and Results 167
6.4 Conclusions 179
References 180
7 A Virtual-Reality Framework for the Hardware-in-the-Loop Motorcycle Simulation 183Roberto Lot and Vittore Cossalter
7.1 Introduction 183
7.2 Architecture of the Motorcycle Simulator 184
7.3 Tuning and Validation 188
7.4 Application Examples 191
References 194
Part Two TWO-WHEELED VEHICLES CONTROL AND ESTIMATION PROBLEMS
8 Traction Control Systems Design: A Systematic Approach 199Matteo Corno and Giulio Panzani
8.1 Introduction 199
8.2 Wheel Slip Dynamics 202
8.3 Traction Control System Design 206
8.4 Fine tuning and Experimental Validation 212
8.5 Conclusions 218
References 219
9 Motorcycle Dynamic Modes and Passive Steering Compensation 221Simos A. Evangelou and Maria Tomas-Rodriguez
9.1 Introduction 221
9.2 Motorcycle Main Oscillatory Modes and Dynamic Behaviour 222
9.3 Motorcycle Standard Model 224
9.4 Characteristics of the Standard Machine Oscillatory Modes and the Influence of Steering Damping 226
9.5 Compensator Frequency Response Design 228
9.6 Suppression of Burst Oscillations 233
9.7 Conclusions 240
References 240
10 Semi-Active Steering Damper Control for Two-Wheeled Vehicles 243Pierpaolo De Filippi, Mara Tanelli, and Matteo Corno
10.1 Introduction and Motivation 243
10.2 Steering Dynamics Analysis 245
10.3 Control Strategies for Semi-Active Steering Dampers 252
10.3.1 Rotational Sky-Hook and Ground-Hook 253
10.4 Validation on Challenging Manoeuvres 257
10.5 Experimental Results 266
10.6 Conclusions 267
References 268
11 Semi-Active Suspension Control in Two-Wheeled Vehicles: a Case Study 271Diego Delvecchio and Cristiano Spelta
11.1 Introduction and Problem Statement 271
11.2 The Semi-Active Actuator 272
11.3 The Quarter-Car Model: a Description of a Semi-Active Suspension System 275
11.4 Evaluation Methods for Semi-Active Suspension Systems 277
11.5 Semi-Active Control Strategies 279
11.6 Experimental Set-up 281
11.7 Experimental Evaluation 281
11.8 Conclusions 289
References 289
12 Autonomous Control of Riderless Motorcycles 293Yizhai Zhang, Jingang Yi, and Dezhen Song
12.1 Introduction 293
12.2 Trajectory Tracking Control Systems Design 294
12.3 Path-Following Control System Design 305
12.4 Conclusion 315
Acknowledgements 317
Appendix A: Calculation of the Lie Derivatives 317
References 318
13 Estimation Problems in Two-Wheeled Vehicles 319Ivo Boniolo, Giulio Panzani, Diego Delvecchio, Matteo Corno, Mara Tanelli, Cristiano Spelta, and Sergio M. Savaresi
13.1 Introduction 319
13.2 Roll Angle Estimation 320
13.3 Vehicle Speed Estimation 329
13.4 Suspension Stroke Estimation 337
13.5 Conclusions 342
References 342
Index 345
Vittore Cossalter, Roberto Lot, and Matteo Massaro
University of Padova, Italy
This chapter aims at giving a basic insight into the two-wheeled vehicle dynamics to be applied to vehicle modelling and control. The most relevant kinematic properties are discussed in Section 1.1, the peculiarities of motorcycle tyres are reported in Section 1.2, the most popular suspension schemes are presented in Section 1.3, while Sections 1.4 and 1.5 are devoted to the analysis of the vehicle in-plane and out-of-plane vibration modes. Finally, Section 1.6 highlights the coupling between in-plane and out-of-plane dynamics.
From the kinematic point of view, every mechanical system consists of a number of rigid bodies connected to each other by a number of joints. Each body has six degrees of freedom (DOF) since its position and orientation in the space are fully defined by six parameters, such as the three coordinates of a point and three angles (yaw, roll, pitch). When a joint is included, the number of DOFs reduces according to the type of joint: the revolute joint (e.g., the one defining the motorcycle steering axis) inhibits five DOFs, the prismatic joint (e.g., the one defining the telescopic fork sliding axis) inhibits five DOFs, the wheel–road contact joint inhibits three DOFs when pure rolling is assumed (only three rotations about the contact point are allowed while no sliding is permitted), or one DOF when longitudinal and lateral slippage is allowed (the only constraint being in the vertical direction, where the compenetration between the wheel and the road is avoided).
Two-wheeled vehicles can be considered spatial mechanisms composed of six bodies:
These bodies are connected each other and with the road surface by seven joints:
Therefore, the two-wheeled vehicle has nine DOFs, given the 20 DOFs inhibited by the four revolute joints, five DOFs inhibited by the prismatic joint and the two DOFs inhibited by the two contact joints (tyre slippage allowed), subtracted from the 36 DOFs related to the six rigid bodies. It is also common to include the rear and front tyre deformation due to the tyre compliance, and consequently the number of DOFs rises to 11.
Among the many different sets of 11 parameters that can be selected to define the vehicle configuration, it is common (e.g. Cossalter et al. 2011b, 2011c) to use the ones depicted in Figure 1.1: position and orientation of the chassis, steering angle, front suspension travel, swingarm rotation and wheel spin rotations.
Figure 1.1 Degrees of freedom of a two-wheeled vehicle
Finally, it is worth mentioning that these DOFs are related to the gross motion of the vehicle, while additional DOFs are necessary whenever some kind of vehicle structural flexibility is considered, e.g. Cossalter et al. (2007b).
Some geometric parameters such as the wheelbase , normal trail and caster angle , are very important when it comes to the vehicle stability, manoeuvrability and handling. In more detail, the wheelbase is the distance between the contact points on the road and usually ranges between 1.2 and 1.6 m, the normal trail is the distance between the front contact point and the steering axis (usually 80–120 mm) and the caster angle is the angle between the vertical axis and the steering axis (usually 19–35).
In general, an increase in the wheelbase, assuming that the other parameters remain constant, leads to an unfavourable increase in the flexional and torsional deformability of the frame (this may reduce vehicle manoeuvrability), an unfavourable increase in the minimum curvature radius, a favourable decrease in the load transfer during accelerating and braking (this makes wheelie and stoppie more difficult) and a favourable increase in the directional stability of the motorcycle.
The trail and the caster angle are especially important inasmuch as they define the geometric characteristics of the steering head. The definition of the properties of manoeuvrability and directional stability of two-wheeled vehicles depend on these two parameters, among others. Small values of trail and caster characterize sport vehicles, while higher values are typical of touring and cruiser vehicles. The trail and caster are related to each other by the following relationship:
1.1
where is the front tyre radius and is the fork offset; see Figure 1.2.
Figure 1.2 Wheelbase, caster angle and trail
Finally, it is worth noting that all these parameters are usually given for the nominal (standstill) trim configuration, while they change as the vehicle speed, longitudinal and lateral accelerations change.
While the driver operates the handlebar steering angle, the vehicle cornering behaviour is determined by the projection on the road surface of the angle between the rear and front wheel planes, the so-called kinematic steering angle. In two-wheeled vehicles, the relationship between the handlebar and kinematic steering angles varies appreciably with the roll angle. In particular, the steering mechanism is attenuated (i.e. the kinematic angle is lower than the handlebar angle) up to a certain value of the roll angle (close to the value of the caster angle), then it is amplified (i.e. the kinematic angle is higher than the handlebar angle); see Figure 1.3 for example.
Figure 1.3 Kinematic steering angle as a function of the handlebar steering angle δ for different values of the roll angle
The following simplified expression can be used to estimate the kinematic steering angle from the handlebar steering angle , the caster angle and the roll angle :
1.2
The local curvature of the vehicle trajectory (or the turning radius ) can be estimated from the kinematic angle and the wheelbase using the following expression:
1.3
Note that Equation 1.3 does not include the effect of tyre slippage, whose contribution will be described in Sections 1.2 and 1.5.2.
The performance of two-wheeled vehicles is largely influenced by the characteristics of their tyres. Indeed, the control of the vehicle's equilibrium and motion occurs through the generation of longitudinal and lateral forces resulting from the rider's actions on the steering mechanism, throttle and braking system. The peculiarity of motorcycle tyres is that they work with camber angles up to 50 and even more, while car tyres rarely reach 10.
From a macroscopic viewpoint, the interaction of the tyre with the road can be represented by a system composed of three forces and three torques, as in Figure 1.4:
Figure 1.4 Tyre forces and torques
Experimental observations show that the force and torque generation is mainly related to the following input quantities:
Therefore we can write:
1.4
with the longitudinal force mainly related to longitudinal slip , lateral force mainly related to the lateral slip and the camber angle , overturning moment mainly related to the camber angle , rolling resistance mainly related to the wheel spin rate and yawing moment mainly related to the lateral slip and camber angle .
The longitudinal slip (positive when driving and negative when braking) is defined as:
1.5
where is the tyre longitudinal velocity, is the tyre spin rate and is the tyre effective rolling radius. In particular, the effective rolling radius can be computed from the freely rolling tyre as
1.6
Note that the effective rolling radius does not coincide with either the tyre loaded radius or the the tyre unloaded radius ; see Figure 1.5. This should not be surprising since the tyre is not a rigid body. Experimental observations show that . However, a common assumption is .
Figure 1.5 Tyre radii
Sometimes a slightly different formulation of longitudinal slip is...
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