Weighted multiple model control system for the stable steering performance of distributed drive electric vehicle

Abstract

The steering performance of the distributed drive electric vehicle (DDEV) is an important research topic. Generally, DDEV works under various operating status with high switching frequency, while the conventional stability controller is only suitable for one special operating status. In addition, the lateral force saturation or deficiency always leads to the unstable steering performance. To achieve the stable steering performance under various operating status for DDEV, a novel weighted multiple model control system (WMMCS) is proposed in this paper. The proposed WMMCS consists of three parts, including a submodel set (SMS), a subcontroller set (SCS) and a weighted fusion unit (WFU). The SMS classifies the vehicle operating status into four typical operating modes and analyses their operating characteristics. The SCS designs the corresponding model predictive controller for each typical operating mode to realize the optimal four-wheel steering; then, the lateral force saturation or deficiency problem can be solved. The WFU analyses the matching degree between the actual state of DDEV and each submodel by the fuzzy logic; then, the control output of the WMMCS is calculated by the weighted signal of each subcontroller. The simulation is carried on the MATLAB, and the results show that the stable steering performance and smooth operating switching performance of DDEV can be achieved efficiently by the proposed WMMCS.

Unsupervised optimal model bank for multiple model control systems: Genetic-based automatic clustering approach

“…Prior knowledge of Model Bank: In some research conducted in this field, researchers did not directly engage in the challenges of model bank formation by assuming that the appropriate model bank has already been provided to the designer [ [9] , [10] , [11] ]. Among the methodologies that are included in this category are: formation of a model bank by trial and error [ 12 ], based on the system's operating modes [ 28 , 13 ], based on partitioning the working space of the system into arbitrary subspaces [ 2 , 14 ], based on assigning local models to several predefined failure modes [ 16 ] and based on assuming the availability of the required model bank [ [9] , [10] , [11] ]. The main advantage of using such approaches is the simplicity of the model bank formation.…”

Multiple model-based fault-tolerant control system for distributed drive electric vehicle

“…Compared with a traditional vehicle, the main advantage of distributed drive electric vehicle (DDEV) is that more actuators can be controlled, and this advantage provides a possibility to achieve better stability performance [1,2]. In the past few decades, the studies of vehicle stability have become an active area in the automotive field [3].…”