DocumentCode :
577047
Title :
Nonlinear PD controller design for a nonlinear quarter car suspension system
Author :
Sadeghi, M. Sha ; Bavafa, F. ; Alavi, S.M.S. ; Varzandian, S.
Author_Institution :
Shiraz Univ. of Technol., Shiraz, Iran
fYear :
2011
fDate :
27-29 Dec. 2011
Firstpage :
231
Lastpage :
235
Abstract :
In this paper, an optimized proportional and derivative (PD) controller is proposed for an active suspension system. A new method to select the derivative gain is presented subject to the error and error derivative values, such that a faster response achieves mentioned to the control signal. The proportional coefficient is tuned to increase the speed of the plant response. To achieve this objective, the control signal is set at maximum level for all error values larger than a pre-specified value. The proportional coefficient is tuned to increase the speed of the plant response. To achieve this objective, the control signal is set at maximum level for all error values larger than a pre-specified value. The derivative portion entered in control signal when the output signal is moved away from setpoint and when the output signal is moved toward the setpoint the derivative portion is eliminated from control signal production. Simplicity of the presented controller and its performance make it a proper technique to control the suspension system. Comparison the results with an optimized fuzzy PID via PSO algorithm show that the proposed controller is more stable and has less damping in response while the system speed is improved.
Keywords :
PD control; automobiles; automotive components; control system synthesis; damping; nonlinear control systems; optimisation; stability; suspensions (mechanical components); velocity control; vibration control; active suspension system; control signal production; damping; derivative gain; error derivative value; nonlinear PD controller design; nonlinear quarter car suspension system; optimized proportional and derivative controller; plant response speed; proportional coefficient; stability; system speed; Adaptive systems; Mathematical model; PD control; Suspensions; Tuning; Vehicles; Nonlinear car suspension system; Optimized PD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-1689-7
Type :
conf
DOI :
10.1109/ICCIAutom.2011.6356661
Filename :
6356661
Link To Document :
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