2019
DOI: 10.1109/access.2018.2886994
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Reliable Integrated ASC and DYC Control of All-Wheel-Independent-Drive Electric Vehicles Over CAN Using a Co-Design Methodology

Abstract: This paper deals with the negative effects of the in-vehicle network on the integrated anti-slip control (ASC) and direct yaw-moment control (DYC) of all-wheel-independent-drive electric vehicles (AWID-EVs). In the integrated control design of the modern AWID-EVs, increasing control components, e.g., sensors, controllers, and actuators, are usually connected via an in-vehicle network, such as a controller area network (CAN), rather than the traditional point-to-point communication. However, the application of … Show more

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Cited by 15 publications
(17 citation statements)
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“…Thus, the CAV function V 0 (̃(t)) is differentiable wheñ(t) = 0. Now, we are in the position to present for stability analysis and automatic steering controller synthesis of the system (25). The results are summarized in the following two theorems.…”
Section: Robust Event-triggered Fault Tolerant Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, the CAV function V 0 (̃(t)) is differentiable wheñ(t) = 0. Now, we are in the position to present for stability analysis and automatic steering controller synthesis of the system (25). The results are summarized in the following two theorems.…”
Section: Robust Event-triggered Fault Tolerant Controller Designmentioning
confidence: 99%
“…With more actuators, sensors and control subsystems than the ones equipped in traditional vehicles, the ALVs would easily encounter the network-induced delay caused by the in-vehicle network bandwidth limit during the information transmissions. 25 The network-induced delay between controllers, sensors, and actuators could degrade the control performance of the whole system or even cause the system instability. To handle the time-delay problem, many well-studied theoretical methods and synthesis methods have been reported in Reference 26.…”
mentioning
confidence: 99%
“…In this paper, the exponential reaching law is chosen to restrict the trajectory of the system: s = −k sgn s − bs (36) Substitute Formula (36) into Formula (35) and obtain the following formula:…”
Section: B Adaptive Fuzzy Sliding Mode Controllermentioning
confidence: 99%
“…of ASC and DYC offer a more valid way to keep the stability of a vehicle [14], [15]. To achieve the above-mentioned control goals, control algorithms, including sliding mode control [3], [8], linear quadratic regulator [13], model predictive control [12], [13], were investigated.…”
Section: Introductionmentioning
confidence: 99%