This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Optimized Proportional Integral Derivative Controller of Vehicle Active Suspension System Using Genetic Algorithm
Technical Paper
2018-01-1399
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Proportional integral derivative (PID) control method is an effective, easy in implementation and famous control technique applied in several engineering systems. Also, Genetic Algorithm (GA) is a suitable approach for optimum searching problems in science, industrial and engineering applications. This paper presents the usage of GA for determining the optimal PID controller gains and their implementation in the active quarter-vehicle suspension system to achieve good ride comfort and vehicle stability levels. The GA is applied to solve a combined multi-objective (CMO) problem to tune PID controller gains of vehicle active suspension system for the first time. The active vehicle suspension system is modeled mathematically as a two degree-of-freedom mechanical system and simulated using Matlab/Simulink software. The performance of the proposed suspension system controlled using the optimized PID GA is compared to both controlled system using the classical PID (C PID) controller and the passive suspension systems. Systems performance criteria are evaluated in both time and frequency domains, in order to quantify the success of the proposed suspension system. The theoretical results reveal that the proposed optimized PID GA controller of the active vehicle suspension provides a vital enhancement of ride comfort and vehicle stability levels.
Authors
Topic
Citation
Metered, H., Abbas, W., and Emam, A., "Optimized Proportional Integral Derivative Controller of Vehicle Active Suspension System Using Genetic Algorithm," SAE Technical Paper 2018-01-1399, 2018, https://doi.org/10.4271/2018-01-1399.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 |
Also In
References
- Gad , J. , Metered , H. , Bassuiny , A. , and Abdel Ghany , A.M. Multi-objective genetic algorithm fractional-order PID controller for semi-active magnetorheologically damped seat suspension Journal of Vibration and Control 23 8 1248 1266 2017
- Gad , S. , Metered , H. , Bassuiny , A. , and Abdel Ghany , A.M. Ride Comfort Enhancement of Heavy Vehicles using Magnetorheological Seat Suspension Int. J. of Heavy Vehicle Systems 22 2 93 113 2015
- Yin , F. , Wang , J. , and Guo , C. Design of PID Controllers Using Genetic Algorithms Approach for Low Damping Slow Response Plants L.N.i.C. Science Advances in Neural Networks Springer-Verlag, Berlin Heidelberg 2004 219 220
- Metered , H. , Elsawaf , A. , Vampola , T. , and Sika , Z. Vibration Control of MR-Damped Vehicle Suspension System Using PID Controller Tuned by Particle Swarm Optimization SAE Int. J. Passeng. Cars - Mech. Syst. 8 2 426 435 2015 10.4271/2015-01-0622
- Gillespie , T.D. 1993
- Cao , J. , Liu , H. , Li , P. , and Brown , D. State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies IEEE Transactions on Intelligent Transportation Systems 9 3 392 405 2008
- Cao , J. , Li , P. , and Liu , H. An Interval Fuzzy Controller for Vehicle Active Suspension Systems IEEE Transactions on Intelligent Transportation Systems 11 4 885 895 2010
- Gao , H. , Lam , J. , and Wang , C. Multi-Objective Control of Vehicle Active Suspension Systems via Load-Dependent Controllers Journal of Sound and Vibration 290 3-5 654 675 2006
- Hrovat , D. Survey of Advanced Suspension Developments and Related Optimal Control Applications Automatica 33 10 1781 1817 1997
- Mohan , B. , Modak , J.P. , and Phadke , S.B. Vibration Control of Vehicles Using Model Reference Adaptive Variable Structure Control Advances in Vibration Engineering 2 4 343 361 2003
- Fialho , I. and Balas , J. Road Adaptive Active Suspension Design Using Linear Parameter-Varying Gain-Scheduling IEEE Transactions on Control Systems Technology 10 1 43 54 2002
- Rajamani , R. and Hedrick , J. Adaptive Observers for Active Automotive Suspensions: Theory and Experiment IEEE Transactions on Control Systems Technology 3 1 86 93 1995
- Gao , H. , Sun , W. , and Shi , P. Robust sampled-data H ∞ control for vehicle active suspension systems IEEE Transactions on Control Systems Technology 18 1 238 245 2010
- Metered , H. Application of Nonparametric Magnetorheological Damper Model in Vehicle Semi-active Suspension System SAE Int. J. Passeng. Cars - Mech. Syst., 5 1 715 726 2012 10.4271/2012-01-0977
- Metered , H. and Šika , Z. Vibration Control of Vehicle Active Suspension Using Sliding Mode Under Parameters Uncertainty Journal of Traffic and Logistics Engineering 3 2 136 142 2015
- Vaijayanti , S.D. , Mohan , B. , Shendge , P.D. , and Phadke , S.B. Disturbance Observer Based Sliding Mode Control of Active Suspension Systems Journal of Sound and Vibration 333 11 2281 2296 2014
- Emam , A.S. Active Vibration Control of Automotive Suspension System using Fuzzy Logic Algorithm Int. J. of Vehicle Structures & Systems 9 2 77 82 2017
- Emam , A.S. Fuzzy Self Tuning of PID Controller for Active Suspension System Advances in Powertrains and Automotive 1 1 34 41 2015
- Choi , S.B. , Choi , Y.T. , and Park , D.W. A Sliding Mode Control of a Full-Car Electrorheological Suspension System via Hardware in-the-Loop Simulation Dynamic Systems, Measurement, and Control 122 114 121 2000
- Michael , A.J. and Mohammad , H.M. PID Control: New Identification and Design Methods London Limited Springer-Verlag 2005
- Deb , K. Genetic Algorithm-Based Optimum Vehicle Suspension Design Using Minimum Dynamic Pavement Load as a Design Criterion Sadhana 24 293 315 1999
- Kumarl , A. and Gupta , R. Compare the Results of Tuning of PID Controller by Using PSO and GA Technique for AVR System International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 2 2130 2138 2013
- Abbas , W. , Abouelatta , O. B. , El-Azab , M. , and Megahed , A. A. 2010
- Abbas , W. , Abouelatta , O. , El-Azab , M. , Elsaidy , M. et al. Optimization of Biodynamic Seated Human Models Using Genetic Algorithms SCIRP Journal of Engineering 2 710 719 2010
- Abbas , W. , Abouelatta , O. , El-Azab , M. , Elsaidy , M. et al. Optimal Seat Suspension Design Using Genetic Algorithms Journal of Mechanics Engineering and Automation 1 44 52 2011
- Abbas , W. , Emam , A.S. , Badran , S. , Shebl , M. , and Abouelatta , O.B. Optimal Seat and Suspension Design for a Half-Car with Driver Model Using Genetic Algorithm Intelligent Control and Automation 4 199 205 2013
- Lakshmi , T.P. , Narayanan , K.R.S. , Jayanthi , T. , and SatyaMurty , S.A.V. Simulation and Tuning of PID Controllers using Evolutionary Algorithms Int J of Information Technology and Computer Science 11 50 57 2012
- Rajamani , R. Vehicle Dynamics and Control New York Springer Science and Business Media 2006
- Choi , S.B. and Kim , W.K. Vibration Control of a Semi-active Suspension Featuring Electrorheological Fluid Dampers Journal of Sound and Vibration 234 537 546 2000
- Fischer , D. and Isermann , R. Mechatronic Semi-active and Active Vehicle Suspensions Control Engineering Practice 12 11 1353 1367 2004
- Metered , H. 2010