2018
DOI: 10.1177/0959651818763856
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Sliding mode pressure controller for an electropneumatic brake: Part II—parameter identification and controller tests

Abstract: In this article, the parameters of the sliding mode pressure controller proposed in part I of this article are identified using direct and indirect methods. A test bench, including hardware and software, is designed to test the performance of the controller. Step response tests are carried out to test controller transient and steady-state control performances. Pressure tracking tests, in which the pressure in the brake cylinder chamber is required to track sinusoidal reference signals, are carried out to test … Show more

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Cited by 1 publication
(1 citation statement)
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“…[5][6][7][8][9] Other studies have investigated the use of fuzzy logic, given this technique's ability to control highly nonlinear systems very effectively. [10][11][12][13][14][15] More recently, examples using sliding mode controllers 16,17 and controllers employing learning algorithms 18 were used in electropneumatic and electro-hydraulic servo systems.…”
Section: Introductionmentioning
confidence: 99%
“…[5][6][7][8][9] Other studies have investigated the use of fuzzy logic, given this technique's ability to control highly nonlinear systems very effectively. [10][11][12][13][14][15] More recently, examples using sliding mode controllers 16,17 and controllers employing learning algorithms 18 were used in electropneumatic and electro-hydraulic servo systems.…”
Section: Introductionmentioning
confidence: 99%