Vibration control of mechanical suspension system using LabVIEW

A fuzzy logic based digital sinusoidal acceleration waveform amplitude controller for a PC based electrodynamic vibration actuator is presented. The fuzzy logic control (FLC) purpose is to reproduce pre-defined sinusoidal acceleration amplitude at the vibration table of a vibration actuator system. Sinusoid vibration profiles (sine and linear sine sweep) are considered for a closed-loop controlled vibration generation for rigid load. The difficulty in sine vibration generation is the un-modeled and complex non-linear dynamics of the vibration actuator system. To cater to the needs of a sine sweep vibration generation, the controller needs to be robust to un-modeled dynamics of the vibration actuator system as well as sufficiently fast to hold the specified acceleration amplitude. The performance of the developed control logic is tested in real time using LabVIEW based virtual instrumentation (VI) tools for vibration signal acquisition and measurement on the in-house designed and dev...

In this paper, a control strategy of active suspension based on the fuzzy logic control has been investigated. Using incorporating feedback from force sensor at front and rear active suspension system, the control system shows the improvement of the dynamic responses of the vehicle. A multi degree-of-freedom nonlinear model is co-simulated by MATLAB/Simulink and ADAMS/Car. The simulation results indicate that the proposed active suspension is very effective in the vibration isolation.

The objective of this paper is to focus on the studies in field of automobile suspension system control strategies and the methods that were used to evaluate the optimal values for the suspension system parameters such as spring stiffness, damper damping coefficient, tire stiffness, tire damping coefficient. There are many types of controllers to improve the vibration control of automobile suspension system when undergoes to external excitation from road profile, such as proportional-integral-derivative (PID), linear quadratic regulation (LQR), H infinity , robust control and Fuzzy controller. And there are three methods of suspension system strategies; passive system, active system and semi-active system. The semi active control included; magneto rheological damper and electro rheological damper, in this case; the effective area in which the oil damping flowing through was varied according to road disturbance. This study concluded that using PID, LQR, H infinity and Fuzzy controller which had been improved the performance of suspension system strongly, especially, the improvement in the time of steady state response whereas by using of PID and Fuzzy controllers led to decrease the time of steady state response and reduced the maximum overshoot. It can be concluded that using Simulink program to solve the equation of motion of quarter automobile suspension system is very important due to complexity of solving by traditional methods which used to solve these cases.

In the paper, fuzzy logic is used to simulate active suspension control of a one-half-car model. Velocity and acceleration of the front and rear wheels and undercarriage velocity above the wheels are taken as input data of the fuzzy logic controller. Active forces improving vehicle driving, ride comfort and handling properties are considered to be the controller outputs. The controller design is proposed to minimize chassis and wheels deflection when uneven road surfaces, pavement points, etc. are acting on tires of running cars. As a result, a comparison of an active suspension fuzzy control and a spring/damper passive suspension is shown using MATLAB simulations.

In this study, we propose a new control strategy for the control of an electro-hydraulically controlled active suspension system. A PID, along with fuzzy control is employed to form a switch between bump isolation and inertial load rejection strategies. Our study propose a special construction of the suspension system where the electro-hydraulic actuator is to be placed in series with the conventional passive one to form a special case of low frequency active suspensions. The full dynamics of the electro-hydraulic servo valve and hydraulic actuator are employed. The proposed control strategies are applied to a quarter car model. Response of the proposed control strategy is tested for different road profiles and riding conditions including car chassis rolling effect when cornering and pitch movements when braking/ accelerating. Results show superior performance of our modified controller over passive suspensions and many other controllers of previous studies. Simulations of our propo...

CONVERTER

In this article, a type-2 fuzzy interval controller is proposed to solve the nonlinear control problems of semi-active suspension system. A suspension model with two degrees of freedom and A fuzzy approach for controller synthesis were proposed. The performance of the IT2FLC-based semi-active vehicle suspension system in terms of sprung mass displacement, suspension deflection and tire deflection are compared to the homologous fuzzy type-1 controller (T1FLC), and to the passive suspension system conventional using MATLAB / SIMULINK software for simulation and controller design. The vehicle parameters, called suspension deflection and speed of suspended mass are given as inputs for both controllers. The Csemi control signal is the variable damping coefficient. Inputs and outputs are presented by triangular membership functions. Mamdani inference system is used, along with a Karnik-Mendel algorithm to locate the center of gravity in reduction type for IT2FLC controller. Simulation res...

Beni-Suef University Journal of Basic and Applied Sciences, 2022

Background: This paper proposes a method for designing a passive suspension system that determines the optimal suspension settings while offering feasible performance near an active suspension system. A mathematical model of a nonlinear quarter car is developed and simulated for control and optimization in MATLAB/Simulink ® environment. The input road condition is a Class C Road, and the vehicle moves at 80 kmph. Fuzzy logic control (FLC) action is used to accomplish active suspension system control. An approach for investigating optimal suspension settings based on the FLC control force is described here. The optimized passive suspension system is supposed to have the same suspension travel and velocity as an active suspension system. The least square technique is implemented to optimize the suspension parameters of the passive suspension system. Results: The initial passive suspension system, FLC active system, and optimized suspension system are simulated in MATLAB/Simulink ® environment. It is observed that RMS acceleration for the FLC system is 0.5057 m/s 2 , which is reduced by 46% (passive suspension system has RMS acceleration of 0.9322 m/s 2 , which is uncomfortable). For optimized system, RMS acceleration is 0.6990 m/s 2. It is observed that the optimized passive suspension system almost mimics the initial FLC active suspension system. For the optimized system, sprung mass acceleration and VDV are improved by 30% and 27%, respectively, compared to the initial passive system. Conclusion: It is observed that the optimized passive suspension system mimics the initial FLC system. Also, an optimized FLC system has improved health criterion-based results compared to other suspension systems.

Sādhanā, 2020

This paper outlines a new approach in control of active vibration systems to make the system robust to parametric uncertainties, unmodeled dynamic effects and external disturbances. Namely, it is aimed to ensure robustness of the system towards all kind of disturbances such as road surface inputs and unexpected system parameter changes. So, a new robust-adaptive controller is designed as a vibration isolator and then applied on a full car active suspension system to improve the ride comfort of a vehicle in the presence of structured parameter uncertainties and unstructured unknown parameters or unmodeled dynamics. For this purpose, new parametric uncertainty upper bound adaptation algorithm is developed to isolate any platform from vibrations. Using adaptive laws, the controller can operate properly under changing conditions. The robustness of controller is also ensured by robust control law. This new approach represents a groundbreaking solution to eliminate any disturbance on a vehicle. Stability of the system is guaranteed by using Lyapunov theory, thus uniform boundedness error convergence is achieved. Afterwards, fuzzy logic controller is used to achieve the optimum values of controller gains. Also, comparative numerical solution using a fuzzy logic controlled suspension is performed on the same full-car model, both in time and frequency domain since classical FLC is an effective control method for active suspensions. At the end, it has been verified that the designed fuzzy robust-adaptive controller improves ride comfort more successfully than fuzzy logic one.

This is an approach to fid the effective and optimized controller for a light vehicle suspension system with consideration for testing on uncertain and varying road profie. The strategy is to attenuate the body vibration by reverse dynamic efforts of actuator based on controlled external source of energy. The system is shaped by implementation of PID and Fuzzy Logic Controller with primary gain setting and observed the performance of both the controllers for uncertain road trajectories. The effective parameters; for investigating the performance measure of the system; are vehicle body vertical movement, velocity and time to regain the stability. Basic PID and 25 rules based fuzzy logic controller’s effiiency is observed in various aspects, advantages and pitfalls of these control methodologies are studied. It has been observed the performance of PID controller is good for smooth road, but the uncertain road profie affects its performance while FLC achieved the better result by its variable adjustment ability

Ensuring vehicle drive comfort and securing drive safety are the leading topics among the most interested issues for researchers in vehicle dynamics area. In this paper, a method utilizing a linear actuator is proposed for active control of the vehicle vibrations which are caused by road profile, intending to improve drive comfort and safety of road vehicles. The mathematical model belonging to the system that is evaluated as two degrees of freedom quarter car suspension system is derived by using Lagrange Equation of Motion and MATLAB/Simulink software. In addition to modeling technique, dynamic model of proposed system is created in MSC-ADAMS software and it is simulated in both Matlab and Adams programs together. Moreover two different controllers are designed, which are PID and Artificial Neural Network Based Fuzzy Logic (ANNFL) control in order to use in active vibration control simulations. Performances of the designed controllers are examined and the suitability of the designed controllers is studied by comparing their performances in case of using two different road profile functions.