Direct Yaw Control of Vehicle using State Dependent Riccati Equation with Integral Terms

被引:1
作者
Sandhu, Fargham [1 ]
Selamat, Hazlina [1 ]
Mahalleh, Vahid Behtaji Siahkal [1 ]
机构
[1] Univ Teknol Malaysia, Ctr Artificial Intelligence, Johor Baharu 81310, Malaysia
关键词
nonlinear equations; optimal control; quadratic programming; ricatti equation; sliding mode control; MOMENT CONTROL; ACTIVE SAFETY; STABILITY; MANEUVERABILITY; IMPROVEMENT; WHEEL;
D O I
10.4316/AECE.2016.02014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Direct yaw control of four-wheel vehicles using optimal controllers such as the linear quadratic regulator (LQR) and the sliding mode controller (SMC) either considers only certain parameters constant in the nonlinear equations of vehicle model or totally neglect their effects to obtain simplified models, resulting in loss of states for the system. In this paper, a modified state-dependent Ricatti equation method obtained by the simplification of the vehicle model is proposed. This method overcomes the problem of the lost states by including state integrals. The results of the proposed system are compared with the sliding mode slip controller and state-dependent Ricatti equation method using high fidelity vehicle model in the vehicle simulation software package, Carsim. Results show 38% reduction in the lateral velocity, 34% reduction in roll and 16% reduction in excessive yaw by only increasing the fuel consumption by 6.07%.
引用
收藏
页码:101 / 110
页数:10
相关论文
共 32 条
[1]   A direct yaw moment control for improving limit performance of vehicle handling - Comparison and cooperation with 4WS [J].
Abe, M ;
Ohkubo, N ;
Kano, Y .
VEHICLE SYSTEM DYNAMICS, 1996, 25 :3-23
[3]  
Aripin M.K., 2014, INT J VEHICULAR TECH, DOI DOI 10.1155/2014/437515
[4]   Handling stability improvement through robust active front steering and active differential control [J].
Baslamisli, S. Caglar ;
Kose, I. Emre ;
Anlas, Gunay .
VEHICLE SYSTEM DYNAMICS, 2011, 49 (05) :657-683
[5]   Fuzzy-logic applied to yaw moment control for vehicle stability [J].
Boada, BL ;
Boada, MJL ;
Díaz, V .
VEHICLE SYSTEM DYNAMICS, 2005, 43 (10) :753-770
[6]   An investigation into unified chassis control scheme for optimised vehicle stability and manoeuvrability [J].
Cho, Wanki ;
Yoon, Jangyeol ;
Kim, Jeongtae ;
Hur, Jaewoong ;
Yi, Kyongsu .
VEHICLE SYSTEM DYNAMICS, 2008, 46 :87-105
[7]   Fuzzy control for active suspensions [J].
D'Amato, FJ ;
Viassolo, DE .
MECHATRONICS, 2000, 10 (08) :897-920
[8]  
Elmarakbi A., 2013, International Journal of Dynamics and Control, V1, P360, DOI [DOI 10.1007/S40435-013-0026-9, 10.1007/s40435-013-0026-9]
[9]   Advanced chassis control systems for vehicle handling and active safety [J].
Furukawa, Y ;
Abe, M .
VEHICLE SYSTEM DYNAMICS, 1997, 28 (2-3) :59-86
[10]   Coordination of steering and individual wheel braking actuated vehicle yaw stability control [J].
Güvenç, BA ;
Acarman, T ;
Güvenç, L .
IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, :288-293