Study on the Control System of Electric Vehicle Anti-Rollover Based on DSP

2013 ◽  
Vol 336-338 ◽  
pp. 779-783
Author(s):  
Xin Min Xiong ◽  
Yan Hou

According to the actual need of vehicle anti-rollover, based on the current technology of measuring speed, weighing and measuring turn angle, an anti-rollover control system with differential braking and turn angle limit function for electrical vehicle was researched. The system uses data signal processor (DSP) as the core controller, and includes the speed measuring circuit, the weighing circuit, the steering angle measuring circuit and the steering wheel control circuit. The speed measuring circuit using the orthogonal pulse photoelectric encoder and DSP can realize the acquisition and calculation of speed. The weighing circuit with capacitance sensor can convert the load of vehicle axle to the voltage signal. A/D conversion is completed by DSP, and the vehicle load is calculated with V-M mathematic model. The turn angle measuring circuit is composed of the photoelectric angle sensor, the filter and DSP' counter. The control program of the system was also designed.

Author(s):  
I. Guschin ◽  
A. Drobotov

Faceplatemovement dynamics of pneumatic rotary table is investigated and its mathematical description is given, which has been verified experimentally. Control system construction and the algorithm of the automatic control program for rotarytable based on the analysis of angle sensor data in real time are proposed.


TAPPI Journal ◽  
2016 ◽  
Vol 15 (7) ◽  
pp. 459-464
Author(s):  
RICARDO SANTOS ◽  
PETER HART

An automated shower water control system has been implemented to reduce the volume and variability of weak black liquor being sent from the pulp mill to the evaporators. The washing controls attempt to balance the need for consistent and low soda carryover to the bleach plant with consistently high weak black liquor solids being sent to the evaporators. The washer controls were implemented on two bleachable grade hardwood lines (one with oxygen delignification, one without oxygen delignification) and one pine line. Implementation of the control program resulted in an increase in black liquor solids of 0.6 percentage points for the hardwood lines. Significant foam reduction was realized on the pine line since the pine black liquor solids were able to be consistently maintained just below the soap separation point. Low black liquor solids excursions to the evaporators were eliminated. Bleach plant carryover was stabilized and no negative impact on chemical consumption was noticed when controlling weak black liquor solids to recovery.


2012 ◽  
Vol 490-495 ◽  
pp. 594-597
Author(s):  
Cheng Qun Li ◽  
Liang Gao

This paper introduces a new type of automatic steel bundling machine for bundling process, which includes a pneumatic action process, mainly do some researches on the pneumatic control system. The system chooses PLC as the core control component, puts forward the hardware of control system and control flow. Eventually we have been designed the control program.


2014 ◽  
Vol 543-547 ◽  
pp. 286-290
Author(s):  
Zi Li Liao ◽  
Gui Bing Yang ◽  
Jia Qi Li ◽  
Ming Zhao

Establish an IPM(Interior Permanent Magnet) motor mathematic model based on saturated inductance parameters. This model aimed at the traction motor of electric drive system of a certain armored vehicle. Driving control system was established on SIMULINK platform, and the consequence was analyzed.


2014 ◽  
Vol 721 ◽  
pp. 265-268
Author(s):  
Mao Qi Huang ◽  
Jian Hong Ke ◽  
Xiao Long Wu

Greenhouse environment system is an often nonlinear, change and inertia complex system. It is very hard to build math model and control. Since moisture and temperature have a influence to crops grow, we select them to build the manner of control system, applying fuzzy control system to design moisture and temperature controller, and to write fuzzy control program based PLC, then we should observe the factual control effect. The result of system running show: when temperature is set to 25oC and moisture is 80%RH, the process of control is stable and the system is very stable, it can meet the greenhouse requirement.


2012 ◽  
Vol 546-547 ◽  
pp. 795-799
Author(s):  
Yin Feng Wu ◽  
Jian Wei Liang ◽  
Ling Liang

This paper analyzes the control requirements of scutcher and introduces the control system scheme which is composed of programmable logic controller, touch panel and inverter. And it emphasizes the hardware constitution of S7-200 PLC control system, the pressure detection and display of cotton feeding pipeline, together with the principles of the beater speed test program and the control program of cotton feeding motor.The scutcher control system can feed cotton continuously and equably and ensure the pressure stability of the cotton feeding pipeline. In this way, it can adjust process conveniently, decrease fault rate and cut the design development cycle of new equipments to improve the control level of textile machinery.


2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.


2014 ◽  
Vol 945-949 ◽  
pp. 2266-2271
Author(s):  
Li Hua Wang ◽  
Xiao Qiang Wu

In space laser communication tracking turntable work environment characteristics, we design a neural network PID control system which makes the system’s parameter self-tuning. The control system cans self-tune parameters under the changes of the object’ mathematic model, it solves the problem for the control object’s model changes under the space environment. It also looks for method for optimum control through the function of neural network's self-learning in order to solve the problem of the precision’s decline which arouse from vibration and disturbance. The simulation experiments confirmed the self-learning ability of neural network, and described the neural PID controller dynamic performance is superior to the classical PID controller through the output characteristic curves contrast.


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