Masterarbeit, 2020
172 Seiten
The primary aim of this thesis is to design H∞ and μ-synthesis controllers for an active suspension system to enhance the vehicle's ride comfort and road handling. This is accomplished by implementing robust control techniques that effectively mitigate the impact of uncertainties in the system's parameters, such as spring stiffness, damping coefficients, mass, and actuator dynamics. By comparing these controllers under various road disturbances, the thesis explores their performance in reducing suspension deflection, body acceleration, and body travel.
Chapter 1 introduces the concept of active suspension systems and the motivation for designing robust controllers to address uncertainties. It outlines the thesis objectives, methodology, and scope. Chapter 2 provides a comprehensive literature review on H∞ and μ-synthesis control methods applied to active suspension systems. It highlights relevant studies and identifies existing gaps in the field that this thesis aims to address.
Chapter 3 details the mathematical modeling of the quarter car active suspension system, including the hydraulic actuator and road disturbances. It provides a clear understanding of the system dynamics and the inputs that influence the suspension performance. Chapter 4 focuses on the controller design, including the proposed H∞ and μ-synthesis controllers. The chapter explores the uncertainty modeling and analysis techniques used to ensure the robustness and stability of the designed controllers.
Chapter 5 presents the simulation results and discussion of the different controllers. The time and frequency domain analyses are presented, demonstrating the effectiveness of the μ-synthesis controller compared to other robust controllers. The study highlights the reduction in body acceleration achieved by the μ-synthesis controller compared to the benchmark data from a VW Passat B5 passenger car. Chapter 6 summarizes the key findings and provides recommendations for future research on active suspension systems.
This research focuses on the application of robust control techniques to design an active suspension system that effectively manages uncertainties and improves passenger comfort and vehicle handling. The key terms and concepts explored in the study include:
Active suspension systems provide better road handling and passenger comfort compared to passive systems by actively controlling the vertical movement of the wheels.
These are robust control techniques used to design systems that can handle parametric uncertainties (like changes in mass or spring stiffness) and road disturbances effectively.
The study used four types of inputs: bump, random, sinusoidal, and harmonic road disturbances.
The simulation showed a 50% reduction in body acceleration compared to a standard VW Passat B5 passenger car when crossing a speed bump.
The analysis and comparative simulations were performed using MATLAB script programming.
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