Identification of Control-Related Signal Path for Semi-Active Vehicle Suspension with Magnetorheological Dampers
1Department of Measurements and Control Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Sensors (Basel, Switzerland)
|July 8, 2023
Summary
This study identifies control signal paths in semi-active suspensions using magnetorheological (MR) dampers. The method decomposes vibration signals to understand MR damper influence on vehicle dynamics for adaptive suspension control.
Area of Science:
- Automotive Engineering
- Control Systems Engineering
- Vibration Analysis
Background:
- Semi-active suspensions with magnetorheological (MR) dampers offer adaptive damping.
- Identifying control signal paths is crucial for optimizing MR damper performance.
- Simultaneous road excitation and MR damper control present a complex identification challenge.
Purpose of the Study:
- To develop and validate a method for identifying control-related signal paths in MR damper-equipped semi-active suspensions.
- To analyze the influence of control current configurations on vehicle response.
- To enable the synthesis of advanced adaptive suspension control algorithms.
Main Methods:
- Experimental setup with an all-terrain vehicle, specialized exciters, and MR dampers.
- Sinusoidal road excitation (12 Hz) and wideband random control signals (25 Hz bandwidth) applied.
- Decomposition of vehicle body acceleration signals into road- and control-related components.
- Frequency domain identification of control-related models using sensor data.
Main Results:
- Successfully identified control-related signal paths and their frequency-dependent resonances.
- Demonstrated the dependence of vehicle response on MR damper control current configurations.
- Estimated vehicle model parameters and diagnostic station characteristics.
- Revealed the influence of vehicle load on control-related signal path characteristics.
Conclusions:
- The developed identification method is effective for MR semi-active suspensions.
- Identified models can be used for adaptive suspension control algorithm development (e.g., FxLMS).
- Adaptive suspensions enhance adaptability to changing road and vehicle conditions.
Related Concept Videos
01:26PD Controller: Design
291
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
291
01:17Magnetic Damping
502
Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
502
01:19Root-Locus Method
181
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
This system can be represented by a block...
181
01:20Relation between Mathematical Equations and Block Diagrams
443
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
443
01:22Mechanical Systems
243
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
243
01:22Multi-input and Multi-variable systems
132
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
132