A simple sub-optimal controller for a semi-active suspension system

Tom van der Sande; Igo Besselink; Henk Nijmeijer

A simple sub-optimal controller for a semi-active suspension system

Tom van der Sande, Igo Besselink, Henk Nijmeijer

Dynamics and Control

Research output: Contribution to conference › Paper › Academic

Abstract

In this paper a controller is derived that is capable of improving driver comfort using semi-active suspension. Model predictive control (MPC) is used to find the best possible controller for the given criterion. A fairly simple switching controller that approaches the performance of the MPC controller can be found by identifying the relation between the control signal from the MPC controller and a set of known sensor signals. The proposed controller switches on the basis of state dependent information.

Original language	English
Publication status	Published - 1 Jan 2014
Event	35th FISITA World Automotive Congress, 2014 - Maastricht, Netherlands Duration: 2 Jun 2014 → 6 Jun 2014

Conference

Conference	35th FISITA World Automotive Congress, 2014
Country/Territory	Netherlands
City	Maastricht
Period	2/06/14 → 6/06/14

Keywords

Comfort optimization
Model predictive control
Semi-active suspension
Simulation
Vehicle control

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https://www.fisita.com/store/papers/FISITA2014/F2014-IVC-091?search=53616c7465645f5f9fc3e67f84643f986894ee75233c4610664347f383e953b749b4f4ea2b888ed2ce2666e2d142281efca2336c32ec5db95fed6aadb00e0a3f535767cacff0368d9fa0000af0be50c8ca3af2b77f29e808b75bb0972dec36cb25079d2d989892507028c63b628d8ace2949e908bd4d727c17eedba0a97aea86cb8eba1252ad520fecc94fd5f47baf97fec72278356709fd54b4d12ddb92ed0b

Cite this

van der Sande, T., Besselink, I., & Nijmeijer, H. (2014). A simple sub-optimal controller for a semi-active suspension system. Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands. https://www.fisita.com/store/papers/FISITA2014/F2014-IVC-091?search=53616c7465645f5f9fc3e67f84643f986894ee75233c4610664347f383e953b749b4f4ea2b888ed2ce2666e2d142281efca2336c32ec5db95fed6aadb00e0a3f535767cacff0368d9fa0000af0be50c8ca3af2b77f29e808b75bb0972dec36cb25079d2d989892507028c63b628d8ace2949e908bd4d727c17eedba0a97aea86cb8eba1252ad520fecc94fd5f47baf97fec72278356709fd54b4d12ddb92ed0b

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abstract = "In this paper a controller is derived that is capable of improving driver comfort using semi-active suspension. Model predictive control (MPC) is used to find the best possible controller for the given criterion. A fairly simple switching controller that approaches the performance of the MPC controller can be found by identifying the relation between the control signal from the MPC controller and a set of known sensor signals. The proposed controller switches on the basis of state dependent information.",

keywords = "Comfort optimization, Model predictive control, Semi-active suspension, Simulation, Vehicle control",

author = "{van der Sande}, Tom and Igo Besselink and Henk Nijmeijer",

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van der Sande, T , Besselink, I & Nijmeijer, H 2014, 'A simple sub-optimal controller for a semi-active suspension system', Paper presented at 35th FISITA World Automotive Congress, 2014, Maastricht, Netherlands, 2/06/14 - 6/06/14. <https://www.fisita.com/store/papers/FISITA2014/F2014-IVC-091?search=53616c7465645f5f9fc3e67f84643f986894ee75233c4610664347f383e953b749b4f4ea2b888ed2ce2666e2d142281efca2336c32ec5db95fed6aadb00e0a3f535767cacff0368d9fa0000af0be50c8ca3af2b77f29e808b75bb0972dec36cb25079d2d989892507028c63b628d8ace2949e908bd4d727c17eedba0a97aea86cb8eba1252ad520fecc94fd5f47baf97fec72278356709fd54b4d12ddb92ed0b>

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N2 - In this paper a controller is derived that is capable of improving driver comfort using semi-active suspension. Model predictive control (MPC) is used to find the best possible controller for the given criterion. A fairly simple switching controller that approaches the performance of the MPC controller can be found by identifying the relation between the control signal from the MPC controller and a set of known sensor signals. The proposed controller switches on the basis of state dependent information.

AB - In this paper a controller is derived that is capable of improving driver comfort using semi-active suspension. Model predictive control (MPC) is used to find the best possible controller for the given criterion. A fairly simple switching controller that approaches the performance of the MPC controller can be found by identifying the relation between the control signal from the MPC controller and a set of known sensor signals. The proposed controller switches on the basis of state dependent information.

KW - Comfort optimization

KW - Model predictive control

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KW - Simulation

KW - Vehicle control

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T2 - 35th FISITA World Automotive Congress, 2014

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A simple sub-optimal controller for a semi-active suspension system

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Keywords

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