scholarly journals Model Predictive Controller-Based Optimal Slip Ratio Control System for Distributed Driver Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Qingxian Li ◽  
Liangjiang Liu ◽  
Xiaofang Yuan
Keyword(s):  
Control System ◽  
Operation Mode ◽  
Road Surface ◽  
Surface Adhesion ◽  
Model Predictive Controller ◽  
Slip Ratio ◽  
Optimal Slip Ratio ◽  
Road Surfaces ◽  
Predictive Controller ◽  
Matching Degree

The slip ratio control is an important research topic in in-wheel-motored electric vehicles (EVs). Traditional control methods are usually designed for some specified modes. Therefore, the optimal slip ratio control cannot be achieved while vehicles work under various modes. In order to achieve the optimal slip ratio control, a novel model predictive controller-based optimal slip ratio control system (MPC-OSRCS) is proposed. The MPC-OSRCS includes three parts, a road surface adhesion coefficient identifier, an operation mode recognizer, and an MPC based-optimal slip ratio control. The current working road surface is identified by the road surface adhesion coefficient identifier, and a modified recursive Bayes theorem is used to compute the matching degree between current road surfaces and reference road surfaces. The current operation state is recognized by the operation mode recognizer, and a fuzzy logic method is applied to compute the matching degree between actual operation state and reference operation modes. Then, a parallel chaos optimization algorithm (PCOA)-based MPC is used to achieve the optimal control under various operation modes and different road surfaces. The MPC-OSRCS for EV is verified on simulation platform and simulation results under various conditions to show the significant performance.

scholarly journals A Study of Coordinated Vehicle Traction Control System Based on Optimal Slip Ratio Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gang Liu ◽  
LiQiang Jin
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Control Method ◽  
Road Surface ◽  
Vehicle Model ◽  
Slip Ratio ◽  
Traction Control ◽  
Traction Control System ◽  
Optimal Slip Ratio ◽  
Vehicle Acceleration

Under complicated situations, such as the low slippery road surface and split-μroad surface, traction control system is the key issue to improve the performance of vehicle acceleration and stability. In this paper, a novel control strategy with engine controller and active pressure controller is presented. First and foremost, an ideal vehicle model is proposed for simulation; then a method for the calculation of optimal slip ratio is also brought. Finally, the scheme of control method with engine controller and active brake controller is presented. From the results of simulation and road tests, it can be concluded that the acceleration performance and stability of a vehicle equipped with traction control system (TCS) can be improved.

Optimal Longitudinal Slip Ratio Allocation and Control of a Hybrid Electric Vehicle With eAWD Capabilities

2016 ◽  
Author(s):  
Jose Velazquez Alcantar ◽  
Francis Assadian ◽  
Ming Kuang ◽  
Eric Tseng
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Hybrid Electric Vehicle ◽  
Rear Axle ◽  
Surface Condition ◽  
Road Surface ◽  
Slip Ratio ◽  
Hybrid Electric ◽  
Longitudinal Slip

This paper introduces a Hybrid Electric Vehicle (HEV) with eAWD capabilities via the use of a traditional Series-Parallel hybrid transaxle at the front axle and an electric Rear Axle Drive (eRAD) unit at the rear axle. Such a vehicle requires proper wheel torque allocation to the front and rear axles in order to meet the driver demands. A model of the drivetrain is developed using Bond Graphs and is used in co-simulation with a vehicle model from the CarSim software suite for validation purposes. A longitudinal slip ratio control architecture is proposed which allocates slip ratio to the front and real axles via a simple optimization algorithm. The Youla parametrization technique is used to develop robust controllers to track the optimal slip targets generated by the slip ratio optimization algorithm. The proposed control system offers a unified approach to longitudinal vehicle control under both traction and braking events under any road surface condition. It is shown in simulation that the proposed control system can properly allocate slip ratio to the front and rear axles such that tires remain below their force saturation limits while vehicle acceleration/braking is maximized while on a low friction road surface.

Observations on the Physical Aspects of Resistance to Skidding on Dry Roads and Particularly on Wet Roads

1956 ◽  
Vol 29 (4) ◽  
pp. 1425-1433 ◽  
Author(s):  
K. Knauerhase
Keyword(s):  
Great Influence ◽  
Boundary Surface ◽  
Road Surface ◽  
Motor Vehicles ◽  
Vector Diagram ◽  
Surface Adhesion ◽  
The Road ◽  
Wet Friction ◽  
Road Surfaces ◽  
Wetting Power

Abstract To ensure safety from skidding, attention has up to now been devoted to building rough surface roads, to the development of the proper vehicle construction with respect to this feature, and to the factor most directly involved, the tires. Special attention has been directed in connection with this latter phase to a much more open tread patterning and to the effect of decreasing tire inflation, both of which affect the life of the tire adversely. These steps neglected to take advantage of the physical effect of adhesion, which, without lowering the durability, now makes possible an enhanced contribution to the cohesive friction by the profile grooves which are of necessity retained to keep the weight down. The goal is, therefore, to provide the smooth surfaces of the tread pattern that come in contact with the road with the greatest possible physical gripping power, or adhesion. After illustrating the interfacial magnitudes with the help of a vector diagram, we shall survey the laws of boundary surface adhesion. Here the great influence of the liquid involved in wet friction becomes clear and the particularly favorable interfacial tension property of water can be assessed. Since skidding can occur only at the interfaces : rubber-water, or water-road, the requirement is as follows : both the greatest possible wetting power between rubber and water, and also between water and road surface, that is, hydrophilic properties in the rubber and hydrophilic road surfaces, in order to reduce the danger of skidding. Good insurance against skidding requires hydrophilic rubber and a hydrophilic road surface, for a tire that has been developed to be nonskidding holds on a hydrophilic road surface and skids on a hydrophobic road surface. A hydrophobic tire, on the other hand, skids on any wet road. Although considerable advances have been made with respect to safety from skidding since rubber tires were first developed for motor vehicles, with increase of speeds this problem demands our attention to a greater and greater degree. Safety from skidding can result only from the combined efforts of road and car builders, tire makers, and the chemists and physicists of all three groups.

Ship Motion Control System for Replenishment Operation

2016 ◽  
Vol 817 ◽  
pp. 214-222
Author(s):  
Witold Gierusz ◽  
Anna Miller
Keyword(s):  
Control System ◽  
Motion Control ◽  
Main Part ◽  
Ship Motion ◽  
The Other ◽  
Reference Trajectory ◽  
Model Predictive Controller ◽  
Motion Control System ◽  
Parallel Motion ◽  
Predictive Controller

Underway Replenishment is a procedure whose importance is rising in shipping. It is applied both to the naval and civil vessels. That is the reason why research in this area was undertaken. In this paper idea of the ship motion control system for replenishment operations was presented. The outline of the system is described in a detail way. This system incorporates Model Predictive Controller as a main part of the proposed algorithm. The other important part of the control system is a reference trajectory for the approaching ship generation. Conducted computer simulations prove that there is a possibility to synthesize MPC controller to maintain the pair of ships parallel motion during the UNREP operation.

Fuzzy PID Control of ABS Based on Real-Time Road Surface Identification

2014 ◽  
Vol 597 ◽  
pp. 380-383
Author(s):  
Bo Wang ◽  
Ping Ping Lu ◽  
Hsin Guan ◽  
Jie Jing
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Road Surface ◽  
Active Safety ◽  
Identification Algorithm ◽  
Electronic Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Slip Ratio ◽  
Optimal Slip Ratio

Road surface identification is of great significance in vehicle active safety electronic control systems. This paper proposes a real-time road surface identification algorithm on the basis of the estimated instantaneous road adhesive coefficient. Based on Fuzzy-PID controller and automatic road surface identification, the actual slip ratio can be controlled at the optimal slip ratio precisely, which can promote the ABS and braking performance largely. The braking simulation tests are conducted on pre-set varying road surface conditions. And the results show that the identified results are in good agreement with the pre-set road surface, the proposed algorithm can be conveniently used for various active safety electronic control systems of vehicles.

Data-Based Research on Predictive Control of Multiple Mismatched Model Parameters

2013 ◽  
Vol 397-400 ◽  
pp. 1331-1336
Author(s):  
Da Kuo He ◽  
Jun Qi Xin ◽  
Wen Long Yuan ◽  
Qing Yun Yuan
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Settling Time ◽  
Fuzzy Rules ◽  
Model Parameters ◽  
Step Size ◽  
Model Predictive Controller ◽  
Model Mismatch ◽  
Predictive Controller ◽  
Rising Time

The basis of the paper is that there are already some methods to accurately evaluate, test and diagnose the performance of the model predictive controller. And the result shows the reason of a bad performance of control system is because of model mismatch. There are much more complexity and variety in the problem of multiple mismatched parameters than single mismatched parameter, so we need consider more factors about it on the basis of the solution of single mismatched parameter. We propose a way of adjusting model parameters based on fuzzy rules when there are more than one mismatched parameters. The method is to adjust the step-size of parameters and get the adjustment rules on the basis of the changes of maximum overshoot, rising time and settling time. The last, verifying the method is effective by experiments.

The Sliding Mode Control for Traction Control System Based on Variable Optimal Slip Ratio

2013 ◽  
Vol 380-384 ◽  
pp. 485-490
Author(s):  
Jian Zhao ◽  
Jin Zhang ◽  
Bing Zhu
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Road Surface ◽  
Information Measurement ◽  
Slip Ratio ◽  
Traction Control ◽  
Traction Control System ◽  
Mode Control

In this paper, the concept of intelligent tire and road surface information measurement methods are introduced, and the sliding mode algorithm for traction control system based on intelligent tire is proposed. By applying braking torque onto the driving wheels, the slip rates are adjusted to maintain within the optimal region on different road surface, and the optimal longitudinal traction is achieved. According to the simulation results on the CARSIM and MATLAB co-simulation platform of several working conditions, the TCS based on sliding mode control method improves the traction performance on different road surface effectively.

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