Abstract
Optimal observer-based wheelbase preview regulator problem is investigated for active vehicle suspension systems. It is shown that the problem reduces to the classical linear quadratic Gaussian problem, whose solution is well defined, by augmenting dynamics of system and road inputs. The resulting optimal controller is in the form of augmented state feedback controller and this augmented state is estimated by Kalman-Bucy filter using dynamics of the augmented system. Numerical examples of a half car model are given to verify the performance improvement achievable with the proposed controller.
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Abbreviations
- A :
-
Continuous-time system matrix in state equation
- a,(b) :
-
Distance between center of mass of main vehicle body and front (rear) suspension
- B :
-
Continuous-time input distribution matrix in state equation
- C :
-
Continuous-time output matrix in output equation
- D :
-
Continuous-time input distribution matrix in output equation
- E :
-
Continuous-time disturbance distribution matrix in state equation
- F :
-
Discrete-time equivalent of E
- G :
-
Discrete-time equivalent of A
- H :
-
Discrete-time equivalent of B
- l :
-
Moment of inertia of main vehicle body
- k f1, (k r1):
-
Stiffness connecting main vehicle body and front (rear) axle
- k f2, (k r2):
-
Front (rear) tire stiffness
- L :
-
Continuous-time disturbance distribution matrix in output equation
- M :
-
Mass of main vehicle body
- m f, (m f):
-
Mass of front (rear) axle
- v :
-
Vehicle speed (m/sec)
- Z 0f, (Z 0r):
-
Front (rear) road displacement (m)
- ω:
-
Circular frequency (rad/sec)
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Roh, HS., Park, Y. Observer-based wheelbase preview control of active vehicle suspensions. KSME International Journal 12, 782–791 (1998). https://doi.org/10.1007/BF02945545
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DOI: https://doi.org/10.1007/BF02945545