Ride Height Control of Trucks with Electrically Controlled Air Suspension Based on PID/PWM Algorithm

2010 ◽  
Vol 39 ◽  
pp. 498-503 ◽  
Author(s):  
Xing Xu ◽  
Zhong Xin Li ◽  
Shao Jun Qin ◽  
Chao Feng Pan
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Variable Mass ◽  
Single Chip ◽  
Ride Height ◽  
Height Control ◽  
Air Suspension

The truck with Electrically Controlled Air Suspension(ECAS) could reduce the loss of goods by setting running height when transporting, and to enhance the loading &unloading efficiency, a height modulating model was built by combining the theories of thermodynamics of variable-mass charging-discharging system and the vehicle kinetics. To solve such problems as “over-charging”, “over-discharging” and surging, a height control strategy of variable integral PID/PWM was proposed and its controller was developed base on the Freescale single chip. Finally the semi-physical rig was built for simulating the truck with the height controller, and the testing results show that the designed control system satisfies the requirement of height modulation.

The Study of Control Strategy for Sensor-Less PMSM

2014 ◽  
Vol 1006-1007 ◽  
pp. 575-580
Author(s):  
Qing Xie Chen ◽  
Jing Jing Chen ◽  
Yi Biao Fan
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
High Precision ◽  
Control Strategy ◽  
Control Algorithm ◽  
Simulation Experiment ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Single Chip

Targeting development of control system of a permanent magnet synchronous motor applied to high precision requirement, A strategy is researched to develop a single chip with built-in sensor-less control algorithm which is used as the control core of PMSM control system, the composition of the hardware and the realization of software of the chip are designed, and the simulation experiment is carried out to verify feasibility and rationality of the control strategy as well.

The Research of Height Control Strategy of the Electronically Controlled Air Suspension

2013 ◽  
Vol 288 ◽  
pp. 156-160
Author(s):  
Jin Rui Nan ◽  
Zhi Chai ◽  
Jun Kui Huang
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Can Bus ◽  
Nonlinear Process ◽  
Solenoid Valve ◽  
Target Height ◽  
Height Control ◽  
Air Suspension ◽  
Electronically Controlled Air Suspension ◽  
Valve Control

The height adjustment of electronically controlled air suspension is a complicated nonlinear process [1]. To research this problem, the height adjustment principle of ECAS is introduced first, and the functions of important components of the system are also listed. Then we put forward height control strategy and the pulse width of the solenoid valve control method, which are applied to the control method of ECU. After that, we use the software Labview to communicate with the ECU through CAN bus. By analyzing the data collected, we can see that the results show that current height and target height are consistent generally and the control strategy is feasible.

scholarly journals Dynamic Ride Height Adjusting Controller of ECAS Vehicle with Random Road Disturbances

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Xing Xu ◽  
Long Chen ◽  
Liqin Sun ◽  
Xiaodong Sun
Keyword(s):  
Control System ◽  
Variable Structure ◽  
Random Disturbance ◽  
Ride Height ◽  
Structure Control ◽  
Height Control ◽  
Sliding Motion ◽  
Stochastic Nonlinear System ◽  
Road Excitation ◽  
The Mathematical Model

The ride height control system is greatly affected by the random road excitation during the ride height adjusting of the driving condition. The structure of ride height adjusting system is first analyzed, and then the mathematical model of the ride height adjusting system with the random disturbance is established as a stochastic nonlinear system. This system is decoupled using the differential geometry theory and stabilized using the Variable Structure Control (VSC) technique. The designed ride height control system converges in probability to be asymptotically stable in the sliding motion band, and the desired control law is solved to ensure the stable adjustment of the ride height system. Simulation results show that the proposed stochastic VSC method is effective for the dynamic adjusting of the ride height. Finally, the semiphysical rig test illustrates the applicability of the proposed scheme.

scholarly journals Robust Ride Height Control for Active Air Suspension Systems With Multiple Unmodeled Dynamics and Parametric Uncertainties

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 59185-59199 ◽  
Author(s):  
Rongchen Zhao ◽  
Wei Xie ◽  
Pak Kin Wong ◽  
David Cabecinhas ◽  
Carlos Silvestre
Keyword(s):  
Unmodeled Dynamics ◽  
Parametric Uncertainties ◽  
Ride Height ◽  
Height Control ◽  
Suspension Systems ◽  
Air Suspension

Vehicle Height Control of Automotive Air Suspension System Using Fuzzy Neural Network Approach

2015 ◽  
Vol 727-728 ◽  
pp. 781-784
Author(s):  
Hong Yan Shan
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Variable Mass ◽  
Suspension System ◽  
Adjustment Process ◽  
Network Approach ◽  
Neural Network Approach ◽  
Height Control ◽  
Air Suspension ◽  
Fuzzy Neural

Vehicle height adjustment is one of the main features of automotive air suspension system, which plays a significant role to improve driving stability and fuel economy of the vehicle. However, direct open-loop control can’t achieve the vehicle height control with high precision for undesirable phenomenon of over-charge and over-discharge of the air spring. Therefore, a fuzzy neural network approach was proposed in this paper for designing the vehicle height controller. According to the operational principle of the vehicle height adjustment process, the system mathematical model was established based on vehicle system dynamics and variable mass charge/discharge gas system thermodynamic theory. Then, the fuzzy neural network control laws were designed based on the nonlinear model to maximize the control accuracy. Finally, the effectiveness and applicability of the proposed control algorithm are verified by simulation results.

scholarly journals A Unified Control Strategy of Distributed Generation for Grid-Connected and Islanded Operation Conditions Using an Artificial Neural Network

2021 ◽  
Vol 13 (11) ◽  
pp. 6388
Author(s):  
Karim M. El-Sharawy ◽  
Hatem Y. Diab ◽  
Mahmoud O. Abdelsalam ◽  
Mostafa I. Marei
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control System ◽  
Distributed Generation ◽  
Control Strategy ◽  
Current Control ◽  
Operating Conditions ◽  
Pi Controllers ◽  
Artificial Neural ◽  
The Stability

This article presents a control strategy that enables both islanded and grid-tied operations of a three-phase inverter in distributed generation. This distributed generation (DG) is based on a dramatically evolved direct current (DC) source. A unified control strategy is introduced to operate the interface in either the isolated or grid-connected modes. The proposed control system is based on the instantaneous tracking of the active power flow in order to achieve current control in the grid-connected mode and retain the stability of the frequency using phase-locked loop (PLL) circuits at the point of common coupling (PCC), in addition to managing the reactive power supplied to the grid. On the other side, the proposed control system is also based on the instantaneous tracking of the voltage to achieve the voltage control in the standalone mode and retain the stability of the frequency by using another circuit including a special equation (wt = 2πft, f = 50 Hz). This utilization provides the ability to obtain voltage stability across the critical load. One benefit of the proposed control strategy is that the design of the controller remains unconverted for other operating conditions. The simulation results are added to evaluate the performance of the proposed control technology using a different method; the first method used basic proportional integration (PI) controllers, and the second method used adaptive proportional integration (PI) controllers, i.e., an Artificial Neural Network (ANN).

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