DocumentCode :
2799467
Title :
Simulation control of concrete pump truck boom based on PSO and adaptive robust PD
Author :
Wang, Tie ; Wang, Gannan ; Liu, Kun
Author_Institution :
Sch. of Vehicle, Shenyang Ligong Univ., Shenyang, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
960
Lastpage :
963
Abstract :
In the actual operating work of the concrete pump truck, there are many ill factors impact on the control quality that are environment interference, drive saturation, measurement error, rounding error and sampling delay. To overcome disadvantage, prove mathematical model accurate and identify parameters full, the group control was used; PSO algorithm was used to calculate the final value of every joint point, because the entire search is the process that updates the current optimal solution; all the particles are likely to faster convergence on the optimal solution; Adaptive robust PD control for concrete pump truck boom was used, the advantage of control law are simple and easy to implement and can guarantee a good dynamic and static quality; In order to improve the joint operation real-time and accuracy, using cubic polynomial interpolation method described trajectory; Through the simulation examples analysis, the conclusion is that the method of combination PSO and adaptive robust PD method is suitable for concrete pump truck boom control.
Keywords :
PD control; adaptive control; interpolation; particle swarm optimisation; polynomial approximation; road vehicles; robust control; PSO; adaptive robust PD control; concrete pump truck boom control; cubic polynomial interpolation method; drive saturation; environment interference; mathematical model; measurement error; rounding error; sampling delay; simulation control; Adaptive control; Concrete; Delay; Interference; Measurement errors; Optimal control; Programmable control; Robust control; Roundoff errors; Sampling methods; Adaptive Robust PD; Concrete Pump Truck Boom; PSO; Polynomial interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192810
Filename :
5192810
Link To Document :
بازگشت