scholarly journals A Fuzzy-PID Scheme for Low Speed Control of a Vehicle While Going on a Downhill Road

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2795 ◽  
Author(s):  
Liqiang Jin ◽  
Ronglin Zhang ◽  
Binghao Tang ◽  
Hao Guo
Keyword(s):  
Control Strategy ◽  
Experimental Results ◽  
Fuzzy Pid ◽  
Electronic Stability Program ◽  
Simulation Experiments ◽  
Matlab Simulink ◽  
Low Speed ◽  
Simulation Based ◽  
Vehicle Test ◽  
Real Vehicle

We explored a vehicle hill descent control (HDC) system based on an electronic stability program (ESP) and applied this system to brake cars. The experimental results reveal that our system can effectively reduce the workload of a driver during a downhill journey. In the first phase of our work, the control strategy of the HDC system based on fuzzy-PID (Proportion Integral Differential) was built by MATLAB/Simulink. Then, the co-simulation based on MATLAB/Simulink, CarSim and AMESim was carried out. Finally, a real vehicle test was conducted to further verify the feasibility of the strategy. A series of simulation experiments and real vehicle tests show that the HDC system can assist the driver to control the vehicle while driving downhill at low speed, thus effectively improving the safety of the vehicle and reducing the workload of driver.

The Development of Air Suspension Controller in Mechanical Engineering Based on DSP

2013 ◽  
Vol 644 ◽  
pp. 101-104
Author(s):  
Zhen Wei Zhang ◽  
Chong Chen ◽  
Ruo Bing Jiao ◽  
Rong Rong Hu
Keyword(s):  
Mechanical Engineering ◽  
Vehicle Model ◽  
Air Spring ◽  
Rolling Angle ◽  
Matlab Simulink ◽  
The Real ◽  
The Core ◽  
Air Suspension ◽  
Vehicle Test ◽  
Real Vehicle

Cylindrical air spring suspension’s vehicle model with seven freedom degrees is established. Then the model is simulated by use of Matlab/Simulink to accomplish the simulated-computation of the driving state such as rolling angle and pitching angle. Based on the above work, air suspension controller, DSP TMS320F2812 chip as the core processor, is developed. The result of the real vehicle test proves that the controller can obviously improve vehicle’s driving smoothness and handling stability, so it meets the applying requirements.

Simulation Analysis of Vector Control of Fuzzy-PID System Based on Mine Fanner Load

2014 ◽  
Vol 496-500 ◽  
pp. 1452-1456
Author(s):  
Yan Xiang Wu ◽  
Chao Qun Zhou ◽  
Chao Jun Zhang ◽  
Pu Sun
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Vector Control ◽  
Simulation Analysis ◽  
Quick Response ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Load Torque ◽  
Matlab Simulink ◽  
Low Speed

In this paper, through analysis on characteristics of the operation of the mine fanner, According to the requirement of low speed and smooth operation and quick response for AC speed regulating system of mine fanner, a new control system that based on vector control of Fuzzy-PID was designed. The simulation model was simulated and analysised by MATLAB/SIMULINK. The result indicated that the vector control of Fuzzy-PID system can not only quickly responded to the change of the load torque but also have good speed control performance, and has reliable engineering practical value.

Study on Control Strategy for Electric Starting up of Pure Electric Vehicle

2014 ◽  
Vol 721 ◽  
pp. 313-316 ◽  
Author(s):  
Liang Chu ◽  
Chong Guo ◽  
Pei Zhi Zhang ◽  
Zi Cheng Fu ◽  
Yuan Jian Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Pid Controller ◽  
Strategy Use ◽  
Matlab Simulink ◽  
Low Speed ◽  
Start Up ◽  
Simulation Results

In order to ensure that pure electric vehicle can start up quickly and pleasantly, this article proposes a control strategy for electric starting up of pure electric vehicle. Electric starting up strategy use PID controller to adjust the torque, so the vehicle can start up quickly, and finally reach a low speed. This article completed the offline simulation under MATLAB/Simulink, and simulation results showed that the control strategy not only can reach a low speed quickly after starting up, but also ensures driver feeling well.

scholarly journals Adaptive Fuzzy PID Based on Granular Function for Proton Exchange Membrane Fuel Cell Oxygen Excess Ratio Control

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1140
Author(s):  
Xiao Tang ◽  
Chunsheng Wang ◽  
Yukun Hu ◽  
Zijian Liu ◽  
Feiliang Li
Keyword(s):  
Fuel Cell ◽  
Control Strategy ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Auxiliary System ◽  
Fuzzy Pid ◽  
Oxygen Starvation ◽  
Oxygen Excess ◽  
Exchange Membrane ◽  
Oxygen Excess Ratio

An effective oxygen excess ratio control strategy for a proton exchange membrane fuel cell (PEMFC) can avoid oxygen starvation and optimize system performance. In this paper, a fuzzy PID control strategy based on granular function (GFPID) was proposed. Meanwhile, a proton exchange membrane fuel cell dynamic model was established on the MATLAB/Simulink platform, including the stack model system and the auxiliary system. In order to avoid oxygen starvation due to the transient variation of load current and optimize the parasitic power of the auxiliary system and the stack voltage, the purpose of optimizing the overall operating condition of the system was finally achieved. Adaptive fuzzy PID (AFPID) control has the technical bottleneck limitation of fuzzy rules explosion. GFPID eliminates fuzzification and defuzzification to solve this phenomenon. The number of fuzzy rules does not affect the precision of GFPID control, which is only related to the fuzzy granular points in the fitted granular response function. The granular function replaces the conventional fuzzy controller to realize the online adjustment of PID parameters. Compared with the conventional PID and AFPID control, the feasibility and superiority of the algorithm based on particle function are verified.

Research on Control Strategy of Hydro-Viscous Driven Fan Cooling System

2014 ◽  
Vol 722 ◽  
pp. 182-189
Author(s):  
Li Gang Ma ◽  
Chang Le Xiang ◽  
Tian Gang Zou ◽  
Fei Hong Mao
Keyword(s):  
Control Strategy ◽  
Cooling System ◽  
Fuzzy Pid ◽  
Loop Control ◽  
Speed Regulation ◽  
Temperature Feedback ◽  
Loop Control System ◽  
System Temperature ◽  
Fan Cooling ◽  
Fan Speed

The paper proposes a cascade control strategy of speed feedback in inner loop and temperature feedback in outer ring for hydro-viscous driven fan cooling system, and compares the simulation of PID and fuzzy PID. The simulation result shows that the double-loop control system while the response time longer, but much smaller overshoot, can achieve a good feedback to adjust the fan speed and temperature and realize stepless speed regulation of hydro-viscous driven fan cooling system under the premise of stability for fan speed and system temperature.

Road Feel Design for Vehicle Steer-by-Wire System Based on Joystick

2013 ◽  
Vol 336-338 ◽  
pp. 734-737
Author(s):  
Hong Yu Zheng ◽  
Ya Ning Han ◽  
Chang Fu Zong
Keyword(s):  
Computer Simulation ◽  
Control Strategy ◽  
Vehicle Speed ◽  
Control Module ◽  
Matlab Simulink ◽  
The Road ◽  
Steering Feel ◽  
Steer By Wire ◽  
Simulation Results ◽  
Wire System

In order to solve the problem of road feel feedback of vehicle steer-by-wire (SBW) system based on joystick, a road feel control strategy was established to analyze the road feel theory of traditional steer system, which included return, assist and damp control module. By verifying the computer simulation results with the control strategy from software of CarSim and Matlab/Simulink, it shows that the proposed strategy can effective get road feel in different vehicle speed conditions and could improve the vehicle maneuverability to achieve desired steering feel by different drivers.

Experimental and Analytical Decentralized Adaptive Control of a 7-DOF Robot Manipulator

2020 ◽  
Author(s):  
Alexander Bertino ◽  
Peiman Naseradinmousavi ◽  
Atul Kelkar
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Computational Efficiency ◽  
Tracking Control ◽  
Robot Manipulator ◽  
Problem Formulation ◽  
Experimental Results ◽  
Model Free ◽  
Trajectory Simulation ◽  
Adaptive Control Strategy

Abstract In this paper, we study the analytical and experimental control of a 7-DOF robot manipulator. A model-free decentralized adaptive control strategy is presented for the tracking control of the manipulator. The problem formulation and experimental results demonstrate the computational efficiency and simplicity of the proposed method. The results presented here are one of the first known experiments on a redundant 7-DOF robot. The efficacy of the adaptive decentralized controller is demonstrated experimentally by using the Baxter robot to track a desired trajectory. Simulation and experimental results clearly demonstrate the versatility, tracking performance, and computational efficiency of this method.

Front vehicle detection based on improved fusion method for lidar and visual image

2022 ◽  
pp. 095440702110685
Author(s):  
Aijuan Li ◽  
Zhenghong Chen ◽  
Donghong Ning ◽  
Xin Huang ◽  
Gang Liu
Keyword(s):  
Average Method ◽  
Weighted Average ◽  
Visual Image ◽  
Vehicle Detection ◽  
Detection Accuracy ◽  
The Real ◽  
Weighted Average Method ◽  
Weighted Fusion ◽  
Vehicle Test ◽  
Real Vehicle

In order to ensure the detection accuracy, an improved adaptive weighted (IAW) method is proposed in this paper to fuse the data of images and lidar sensors for the vehicle object’s detection. Firstly, the IAW method is proposed in this paper and the first simulation is conducted. The unification of two sensors’ time and space should be completed at first. The traditional adaptive weighted average method (AWA) will amplify the noise in the fusion process, so the data filtered with Kalman Filter (KF) algorithm instead of with the AWA method. The proposed IAW method is compared with the AWA method and the Distributed Weighted fusion KF algorithm in the data fusion simulation to verify the superiority of the proposed algorithm. Secondly, the second simulation is conducted to verify the robustness and accuracy of the IAW algorithm. In the two experimental scenarios of sparse and dense vehicles, the vehicle detection based on image and lidar is completed, respectively. The detection data is correlated and merged through the IAW method, and the results show that the IAW method can correctly associate and fuse the data of the two sensors. Finally, the real vehicle test of object vehicle detection in different environments is carried out. The IAW method, the KF algorithm, and the Distributed Weighted fusion KF algorithm are used to complete the target vehicle detection in the real vehicle, respectively. The advantages of the two sensors can give full play, and the misdetection of the target objects can be reduced with proposed method. It has great potential in the application of object acquisition.

Sign in / Sign up

Export Citation Format

Share Document