Since 1963
ARTICLE
MIMO intelligent-PID controller design for half car system based on model free control technique
| 1 | Laboratory of Mechanics, Modelling and Production (LA2MP), National School of Engineering of Sfax, University of Sfax, Tunisia |
| 2 | Hacettepe University Beytepe, Department of Mechanical Engineering, Ankara, Turkey |
CORRESPONDING AUTHOR
Submission date: 2019-11-19
Final revision date: 2020-01-24
Acceptance date: 2020-03-24
Publication date: 2020-10-15
Journal of Theoretical and Applied Mechanics 2020;58(4):953–969
KEYWORDS
TOPICS
stability and vibrations systemsdynamics of machines, vehicles and flying structuresinteligent systemsclassical mechanics
ABSTRACT
A novel decoupled Multi-Input-Multi-Output Model Free Control strategy is presented in
this paper to improve the performance of an active suspension system implemented on a
half car model. To damp vibrations generated by road excitation, an algebraic online compensator
was integrated in the structure of a classical PID controller to avoid the impact of
unpredictable disturbances. The key element of the proposed technique is a non-asymptotic
observer that can avoid the use of statistical conventional techniques. Furthermore, the advantage
of easy implementation is achieved where only two accelerometers are sufficient
and adequate. A comparison with classical PID and LQR is provided to demonstrate the
improvement made by the proposed scheme.
REFERENCES (25)
1.
Demir O., Keskin I., Cetin S., 2012,Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach, Nonlinear Dynamics, 67, 3, 2139-2151.
2.
Ekoru J.E., Pedro J.O., 2013, Proportional-integral-derivative control of nonlinear half-car electro-hydraulic suspension systems, Journal of Zhejiang University Science A, 14, 6, 401-416.
3.
Faris W.F., Ihsan S.I., Ahmadian M., 2009, Transient and steady state dynamic analysis of passive and semi-active suspension systems using half-car model, International Journal of Modelling, Identification and Control, 6, 1, 62-71.
4.
Ferdek U., Łuczko J., 2015, Performance comparison of active and semi-active SMC and LQR regulators in a quarter-car model, Journal of Theoretical and Applied Mechanics, 53, 4, 811-822.
5.
Fliess M., Join C., 2013, Model-free control, International Journal of Control, 86, 2228-2252.
6.
Haddar M., Baslamisli S.C., Chaari R., Chaari F., Haddar M., 2019a, Road profile identification with an algebraic estimator, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 233, 4, 1139-1155.
7.
Haddar M., Baslamisli S.C., Chaari F., Haddar M., 2017, On-line adaptive scaling parameter in active disturbance rejection controller, [In:] Felkaoui A., Chaari F., Haddar M. [Ed.] Rotating Machinery and Signal Processing, Springer, pp. 79-86
8.
Haddar M., Chaari R., Baslamisli S.C., Chaari F., Haddar M., 2019b, Intelligent PD controller design for active suspension system based on robust model-free control strategy, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, DOI: 10.1177/0954406219836443.
9.
Hasbullah F., Faris W.F.,Darsivan F.J., 2015, Ride comfort performance of a vehicle using active suspension system with active disturbance rejection control, International Journal of Vehicle Noise and Vibration, 11, 78-101.
10.
Hasbullah F., Faris W. F., 2017, Simulation of disturbance rejection control of half-car active suspension system using active disturbance rejection control with decoupling transformation, Journal of Physics, Conference Series, 949, 1, 012025.
11.
Hua C., Chen J., Li Y., Li L., 2018, Adaptive prescribed performance control of half-car active suspension system with unknown dead-zone input, Mechanical Systems and Signal Processing, 111, 135-148.
12.
ISO 2631-1:1997, Evaluation of human exposure to whole-body vibration – Part 1: General requirements.
13.
ISO 8608: Mechanical Vibration-Road Surface Profiles-Reporting of Measured Data, International Standardization Organization, Geneva, Switzerland, 199.
14.
León-Vargas F., Garelli F., Zapateiro M., 2018, Limiting vertical acceleration for ride comfort in active suspension systems, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 232, 3, 223-232.
15.
Łuczko J., Ferdek U., 2016, Continuous and discrete sliding mode control of an active car suspension system, Journal of Theoretical and Applied Mechanics, 54, 3-11.
16.
Maciejewski I., Krzyżyński T., Pecolt S., Chamera S., 2019, Semi-active vibration control of horizontal seat suspension by using magneto-rheological damper, Journal of Theoretical and Applied Mechanics, 57, 2, 411-420.
17.
Pan H., Sun W., Gao H., Hayat T., Alsaadi F., 2015, Nonlinear tracking control based on extended state observer for vehicle active suspensions with performance constraints, Mechatronics, 30, 363-370.
18.
Phu D. X., Huy T.D, Mien V., Choi S.B., 2018, A new composite adaptive controller featuring the neural network and prescribed sliding surface with application to vibration control, Mechanical Systems and Signal Processing, 107, 409-428.
19.
Pusadkar U.S., Chaudhari S.D., Shendge P.D., Phadke S.B., 2019, Linear disturbance observer based sliding mode control for active suspension systems with non-ideal actuator, Journal of Sound and Vibration, 442, 428-444.
20.
Rajamani R., 2011, Vehicle Dynamics and Control, Springer Science & Business Media.
21.
Rath J.J., Veluvolu K.C., Defoort M., 2015, Simultaneous estimation of road profile and tire road friction for automotive vehicle, IEEE Transactions on Vehicular Technology, 64, 10, 4461-4471.
22.
Senthil Kumar P., Sivakumar K., Kanagarajan R., Kuberan S., 2018, Adaptive Neuro Fuzzy Inference System control of active suspension system with actuator dynamics, Journal of Vibroengineering, 20, 1, 541-549.
23.
Wakeham K.J., Rideout D.G., 2011, Model complexity requirements in design of half car active suspension controllers, [In:] ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Virginia.
24.
Wang H.P., Mustafa G.I., Tian Y., 2018, Model-free fractional-order sliding mode control for an active vehicle suspension system, Advances in Engineering Software, 115, 452-461.
25.
Wang J., Jin F., Zhou L., Li P., 2019, Implementation of model-free motion control for active suspension systems, Mechanical Systems and Signal Processing, 119, 589-602.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.