scholarly journals Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise

2018 ◽  
Vol 10 (10) ◽  
pp. 3419 ◽  
Author(s):  
Aydin Azizi
Keyword(s):  
White Noise ◽  
Pid Controller ◽  
Colored Noise ◽  
Gaussian White Noise ◽  
Active Suspension ◽  
Suspension System ◽  
Pavement Condition ◽  
White And Colored Noise ◽  
Computer Based ◽  
Environment Sustainability

The goal of this paper is to design an effective Proportional Integral Derivative (PID) controller, which will control the active suspension system of a car, in order to eliminate the imposed vibration to the car from pavement. In this research, Gaussian white noise has been adopted to model the pavement condition, and MATLAB/Simulink software has been used to design a PID controller, as well as to model the effect of the white noise on active suspension system. The results show that the designed controller is effective in eliminating the effect of road conditions. This has a significant effect on reducing the fuel consumption and contributes to environment sustainability.

scholarly journals A Case Study on Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise: Utilizing Artificial Intelligence Techniques to Design an Effective Active Suspension System

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Aydin Azizi
Keyword(s):  
Artificial Intelligence ◽  
Gaussian White Noise ◽  
Active Suspension ◽  
Suspension System ◽  
Probabilistic Logic ◽  
Pavement Condition ◽  
The Road ◽  
Road Profile ◽  
Effective Performance ◽  
White And Colored Noise

The goal of this research is to design an Artificial Intelligence controller for the active suspension system of vehicles. The Ring Probabilistic Logic Neural Network (RPLNN) architecture has been adopted to design the proposed controller, and the pavement condition has been modelled utilizing Gaussian white noise. The results show that the proposed RPLNN controller has an effective performance to reduce the unwanted stochastic effect of the road profile.

Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

2021 ◽  
pp. 095440702110044
Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Parametric Method ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Road Excitation

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.

scholarly journals Control of semi-active suspension system using PID controller

2018 ◽  
Vol 404 ◽  
pp. 012039
Author(s):  
Mohammad Saad ◽  
Shagil Akhtar ◽  
A.K. Rathore ◽  
Qudsiya Begume ◽  
Mohd Reyaz-ur-Rahim
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Suspension System

Development of Active Suspension System for a Pot Hole Using PID Controller

2011 ◽  
Vol 308-310 ◽  
pp. 2266-2270
Author(s):  
Mouleeswaran Senthilkumar
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Control Method ◽  
Controller Design ◽  
Active Suspension ◽  
Suspension System ◽  
Operating Conditions ◽  
Hydraulic Actuator ◽  
Time Domains ◽  
Spool Valve

This paper describes the development of a controller design for the active control of suspension system, which improves the inherent tradeoff among ride comfort, suspension travel and road-holding ability. The developed design allows the suspension system to behave differently in different operating conditions, without compromising on road-holding ability. The effectiveness of this control method has been explained by data from time domains. Proportional-Integral-Derivative (PID) controller including hydraulic dynamics has been developed. The displacement of hydraulic actuator and spool valve is also considered. The Ziegler – Nichols tuning rules are used to determine proportional gain, reset rate and derivative time of PID controller. Simulink diagram of active suspension system is developed and analysed using MATLAB software. The investigations on the performance of the developed active suspension system are demonstrated through comparative simulations in this paper.

scholarly journals Quarter Car Active Suspension System Control Using PID Controller tuned by PSO

2015 ◽  
Vol 11 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Wissam Al-Mutar ◽  
Turki Abdalla
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Suspension System ◽  
System Control ◽  
Hydraulic Actuator ◽  
Passive Suspension ◽  
Car Suspension ◽  
Road Profile ◽  
Passive Suspension System ◽  
Quarter Car

The objective of this paper is to design an efficient control scheme for car suspension system. The purpose of suspension system in vehicles is to get more comfortable riding and good handling with road vibrations. A nonlinear hydraulic actuator is connected to passive suspension system in parallel with damper. The Particles Swarm Optimization is used to tune a PID controller for active suspension system. The designed controller is applied for quarter car suspension system and result is compared with passive suspension system model and input road profile. Simulation results show good performance for the designed controller.

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