scholarly journals Research on Anti-Skid Control Strategy for Four-Wheel Independent Drive Electric Vehicle

2021 ◽  
Vol 12 (3) ◽  
pp. 150
Author(s):  
Chuanwei Zhang ◽  
Jian Ma ◽  
Bo Chang ◽  
Jianlong Wang
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Simple Structure ◽  
Slip Rate ◽  
Development Trend ◽  
Experimental Simulation ◽  
Dynamics Model ◽  
Fuzzy Pid Control ◽  
High Control ◽  
Control Accuracy

Four-wheel independent drive electric vehicles have become the latest development trend of electric vehicles due to their simple structure and high control accuracy. Aiming at the sliding problem of four-wheel independent driving electric vehicles in the driving process, a driving anti-skid control strategy is designed. The strategy includes two contents: (1) a road recognition module that tracks the best slip rate in real time; (2) a slip rate control module that uses fuzzy PID control. Then, based on Carsim and MATLAB/Simulink, the vehicle dynamics model, tire model and driving anti-skid control model are established. A simulation of the driving anti-skid control algorithm is carried out to verify the feasibility of the control strategy. Finally, based on the built-up dSPACE semi-physical experimental simulation platform, the verification was carried out, and the test and simulation results were compared to verify the effective feasibility of the driving anti-skid control strategy.

Relative position fitting based control strategy for thruster point assembly mechanism of electric propulsion

2016 ◽  
Vol 9 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Xiaohui Li ◽  
Jie Geng ◽  
Qiang Zhang ◽  
Jing Sun
Keyword(s):  
Control Strategy ◽  
Relative Position ◽  
Electric Propulsion ◽  
Simple Structure ◽  
Control Strategies ◽  
Content Type ◽  
Assembly Mechanism ◽  
Thrust Vector ◽  
The Mathematical Model ◽  
Control Accuracy

Purpose – Thruster point assembly mechanism (TPAM) of the electric propulsion system allows to adjust the thrust vector, so that the thrust vector is directed to the satellite center of gravity (COG) during the satellite on-orbit working period. In this way the impact of disturbance torque caused by deviation of the thrust vector from the satellite COG during thruster ignition can be decreased. Therefore, the control accuracy of satellite is influenced directly by the control accuracy of TPAM. On the other hand, the on-orbit application of TPAM is restricted to the on-orbit computer resource. Therefore, the purpose of this paper is to design a control strategy for TPAM, and the strategy should not only be able to control the TPAM precisely but also be easily implemented by the on-board computer. Design/methodology/approach – First, the structure and work principle of TPAM are discussed, and the mathematical model based on D-H coordinate system is built for it. Then the fitting methods are utilized to design the control strategy of TPAM. Absolute position fitting-based control strategy and relative position fitting-based control strategy are designed, and the least squares algorithm is introduced for parameter selection. Findings – Simulations and tests are provided for the TPAM. Compared with the state-of-the-art PD controller, the proposed control strategy shows smaller overshoot and more simple realization. The experiment results are matched with the simulation results and both the experiment and simulation results show the validity of the proposed control strategies. Practical implications – The designed control strategies can be used for the TPAM of some satellite’s electric propulsion system. Originality/value – The mathematical model of the TPAM based on D-H coordinate system is given. The absolute position fitting-based control strategy and relative position fitting-based control strategy are proposed. Compared with existing methods, the two control strategies have more simple structure and smaller amount of computations. Furthermore, the relative position fitting-based control strategy achieves high precision with simple structure.

Driving Control Research on Separated Road Surface for Electric Vehicles with Independently Driven Front and Rear Wheels

2014 ◽  
Vol 490-491 ◽  
pp. 1030-1036
Author(s):  
Hong Wen He ◽  
Bo Lan Liu ◽  
Jian Kun Peng
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Recognition Algorithm ◽  
Road Surface ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Drive Control ◽  
Control Research ◽  
Driver’S Intention ◽  
Dynamics Problems

To solve the vehicle longitudinal dynamics problems of driving control, this paper takes the electric off-road vehicle with separated driven axles as the research object. An 8-DOF system dynamics model of vehicle with independently driven front and rear wheels was built by using the MATLAB/Simulink software. The recognition algorithm of the separated road surface was proposed and corresponding driving control strategy was researched. The simulation results show that the proposed drive control strategy can adapt to separated road surface, and ensure vehicle driving safely in accordance with the driver's intention.

Design of Single Axis Tracking Solar Photovoltaic Tracking System

2014 ◽  
Vol 700 ◽  
pp. 12-15
Author(s):  
Wei Jing Zhang
Keyword(s):  
Solar Energy ◽  
Simple Structure ◽  
Tracking System ◽  
Low Cost ◽  
Photovoltaic System ◽  
Utilization Efficiency ◽  
Solar Photovoltaic ◽  
High Control ◽  
Solar Photovoltaic System ◽  
Control Accuracy

This paper presents a single axis tracking solar photovoltaic system,the system has the advantages of simple structure, high control accuracy, low cost. The tracking system be composed of sunlight sensor, controller, barrel ,motor. It can freely achieve to rotate in the space within the range from 0°to 180°. The sunshine vertical irradiation bias in the solar panel is not more than 0.3°. Compared with the fixed photovoltaic system,it can effectively improve the utilization efficiency of solar energy.

Study on Electric Differential Control Scheme for Electric Vehicles

2013 ◽  
Vol 648 ◽  
pp. 348-352 ◽  
Author(s):  
Hong Song ◽  
Xiao Long Huang
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Slip Rate ◽  
Fast Response ◽  
Control Performance ◽  
Pavement Condition ◽  
Time Performance ◽  
Control Scheme ◽  
Strong Robustness ◽  
Differential Control

In order to improve control performance of the electric vehicles independent motor driven wheel steering , using the Ackerman angle relation to design electronic differential system of electric vehicles based on DSP2407 . This control strategy considering various pavement condition and slip rate, will be able to realize the electric vehicles in the complex road conditions, and have fast response requirements. Electronic differential controller of electric vehicles based on DSP2407 can deal with between speed of body and Angle of the nonlinear relationship effectively, when steering operation, is about to drive wheel with input different torque, realized the good adaptive differential, and has advantages of good real-time performance and strong robustness etc.

Speed regulation control of tractors’ new dual-flow transmission system based on slip rate resistance classification

2021 ◽  
pp. 095440702110105
Author(s):  
Guang Xia ◽  
Yan Xia ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Baoqun Sun
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Production Efficiency ◽  
Sliding Mode ◽  
Slip Rate ◽  
Speed Control ◽  
Working Environment ◽  
Vehicle Speed ◽  
Speed Change ◽  
Simulation Results

Fluctuations in operation resistance during the operating process lead to reduced efficiency in tractor production. To address this problem, the project team independently developed and designed a new type of hydraulic mechanical continuously variable transmission (HMCVT). Based on introducing the mechanical structure and transmission principle of the HMCVT system, the priority of slip rate control and vehicle speed control is determined by classifying the slip rate. In the process of vehicle speed control, the driving mode of HMCVT system suitable for the current resistance state is determined by classifying the operation resistance. The speed change rule under HMT and HST modes is formulated with the goal of the highest production efficiency, and the displacement ratio adjustment surfaces under HMT and HST modes are determined. A sliding mode control algorithm based on feedforward compensation is proposed to address the problem that the oil pressure fluctuation has influences on the adjustment accuracy of hydraulic pump displacement. The simulation results of Simulink show that this algorithm can not only accurately follow the expected signal changes, but has better tracking stability than traditional PID control algorithm. The HMCVT system and speed control strategy models were built, and simulation results show that the speed control strategy can restrict the slip rate of driving wheels within the allowable range when load or road conditions change. When the tractor speed is lower than the lower limit of the high-efficiency speed range, the speed change law formulated in this paper can improve the tractor speed faster than the traditional rule, and effectively ensure the production efficiency. The research results are of great significance for improving tractor’s adaptability to complex and changeable working environment and promoting agricultural production efficiency.

scholarly journals Temperature Prediction of PMSMs Using Pseudo-Siamese Nested LSTM

2021 ◽  
Vol 12 (2) ◽  
pp. 57
Author(s):  
Yongping Cai ◽  
Yuefeng Cen ◽  
Gang Cen ◽  
Xiaomin Yao ◽  
Cheng Zhao ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Simple Structure ◽  
High Accuracy ◽  
Stator Winding ◽  
High Power Density ◽  
Temperature Prediction ◽  
Permanent Magnet Synchronous Motors ◽  
Training Performance ◽  
Synchronous Motors ◽  
Better Than

Permanent Magnet Synchronous Motors (PMSMs) are widely used in electric vehicles due to their simple structure, small size, and high power-density. The research on the temperature monitoring of the PMSMs, which is one of the critical technologies to ensure the operation of PMSMs, has been the focus. A Pseudo-Siamese Nested LSTM (PSNLSTM) model is proposed to predict the temperature of the PMSMs. It takes the features closely related to the temperature of PMSMs as input and realizes the temperature prediction of stator yoke, stator tooth, and stator winding. An optimization algorithm of learning rate combined with gradual warmup and decay is proposed to accelerate the convergence during the training and improve the training performance of the model. Experimental results reveal the proposed method and Nested LSTM (NLSTM) achieves high accuracy by comparing with other intelligent prediction methods. Moreover, the proposed method is slightly better than NLSTM in temperature prediction of PMSMS.

Stability analysis of adaptive control using fuzzy adapting rate neural emulator: Experimental validation on a thermal process

2021 ◽  
pp. 095965182098818
Author(s):  
Fatma Ezzahra Rhili ◽  
Asma Atig ◽  
Ridha Ben Abdennour ◽  
Fabrice Druaux ◽  
Dimitri Lefebvre
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Thermal Process ◽  
Experimental Validation ◽  
Experimental Simulation ◽  
Neural Controller ◽  
Control Scheme ◽  
Stability Method ◽  
Indirect Adaptive Control ◽  
Adaptive Control Scheme

In this study, an adaptive control based on fuzzy adapting rate for neural emulator of nonlinear systems having unknown dynamics is proposed. The indirect adaptive control scheme is composed by the neural emulator and the neural controller which are connected by an autonomous algorithm inspired from the real-time recurrent learning. In order to ensure stability and faster convergence, a neural controller adapting rate is established in the sense of the continuous Lyapunov stability method. Numerical simulations are included to illustrate the effectiveness of the proposed method. The performance of the proposed control strategy is also demonstrated through an experimental simulation.

Longitudinal and lateral collision avoidance control strategy for intelligent vehicles

2021 ◽  
pp. 095440702110240
Author(s):  
Ziyu Zhang ◽  
Chunyan Wang ◽  
Wanzhong Zhao ◽  
Jian Feng
Keyword(s):  
Real Time ◽  
Collision Avoidance ◽  
Decentralized Control ◽  
Control Strategy ◽  
Centralized Control ◽  
Lateral Control ◽  
Time Performance ◽  
Collision Avoidance Control ◽  
Avoidance Control ◽  
Control Accuracy

In order to solve the problems of longitudinal and lateral control coupling, low accuracy and poor real-time of existing control strategy in the process of active collision avoidance, a longitudinal and lateral collision avoidance control strategy of intelligent vehicle based on model predictive control is proposed in this paper. Firstly, the vehicle nonlinear coupling dynamics model is established. Secondly, considering the accuracy and real-time requirements of intelligent vehicle motion control in pedestrian crossing scene, and combining the advantages of centralized control and decentralized control, an integrated unidirectional decoupling compensation motion control strategy is proposed. The proposed strategy uses two pairs of unidirectional decoupling compensation controllers to realize the mutual integration and decoupling in both longitudinal and lateral directions. Compared with centralized control, it simplifies the design of controller, retains the advantages of centralized control, and improves the real-time performance of control. Compared with the decentralized control, it considers the influence of longitudinal and lateral control, retains the advantages of decentralized control, and improves the control accuracy. Finally, the proposed control strategy is simulated and analyzed in six working conditions, and compared with the existing control strategy. The results show that the proposed control strategy is obviously better than the existing control strategy in terms of control accuracy and real-time performance, and can effectively improve vehicle safety and stability.

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