Abstract
This paper is considered with a non-linear suspension design for half vehicle model by using particle swarm optimization technique. To analyze the ride comfort, a five-degree of freedom system is built, and it is integrated with the Particle Swarm Optimization (PSO) for optimizing the vehicle vibrations. A multi-objective function is proposed as the sum of the minimum seat and vehicle body acceleration, the minimum suspension deflection and the constraints and the design variables of the optimization problem are selected as the spring and damping coefficients of the front and rear suspension and the non-linear spring and the linear damping coefficients of the seat. The simulations are carried out and the results are compared with the non-optimized values. It is demonstrated that the vehicle vibration is decreased significantly with the help of the optimum values of the suspension parameters.
Highlights
The vehicle vibration is one of the most important issues for the vehicle design process and many researches has been performed on this important topic in order to obtain high ride comfort
A half vehicle model is considered with non-linear seat suspension and five equations of motion are derived and they are integrated with Particle Swarm Optimization (PSO) algorithm
Since the minimum amplitude of vehicle vibration is requested for better ride comfort, the cost function given in Eq (12) is minimized by using the PSO algorithm
Summary
The vehicle vibration is one of the most important issues for the vehicle design process and many researches has been performed on this important topic in order to obtain high ride comfort. By adding a non-linear spring into passive suspension, one can provide a more proper vibration response for different road profiles. The vehicle vibration is analyzed by using three main mathematical models: Quarter vehicle model (QVM) [5, 6], half vehicle model (HVM) [7] and full vehicle model (FVM) [8]. One of the most common stochastic optimization methods is the Particle Swarm Optimization (PSO) technique and it has been applied for many different engineering problems as well as vehicle vibration. A half vehicle model is considered with non-linear seat suspension and five equations of motion are derived and they are integrated with Particle Swarm Optimization (PSO) algorithm. OPTIMUM SUSPENSION DESIGN FOR NON-LINEAR HALF VEHICLE MODEL USING PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM. It has been found that much lower vibration amplitudes can be achieved by using optimum suspension parameters
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