Leakage-Type Adaptive Robust control for Nonlinear Bulldozer Link Lever System

A modeling approach and an adaptive robust controller are proposed for bulldozer link lever system in this paper. The dynamic equation is acquired by combining Udwadia-Kalaba and Lagrange approaches. In this way, there is no approximation, linearization or extra variables such as Lagrangian multiplier. The controller consists of three parts. The first part is to suppress any tendency of deviating from the constraints. The second part aims to deal with any possible initial condition deviation from the constraint manifold. The third part is based on a leakage-type adaptive law which is used to estimate the unknown bound of the uncertainty. In the end, simulation results verify that the movement of bulldozer link lever can satisfy the desired trajectory and the real-time joint torque can be acquired conveniently by using the proposed approach.

[1]  R. Kalaba,et al.  On the foundations of analytical dynamics , 2002 .

[2]  Toshiro Terano,et al.  Experimental study of fuzzy control for bulldozer , 1992, TENCON'92 - Technology Enabling Tomorrow.

[3]  Firdaus E. Udwadia,et al.  Explicit Equations of Motion for Mechanical Systems With Nonideal Constraints , 2001 .

[4]  Hong Wang,et al.  Dynamic Modeling and Simulation on a Hybrid Power System for Dual-Motor-Drive Electric Tracked Bulldozer , 2014 .

[5]  Firdaus E. Udwadia,et al.  What is the General Form of the Explicit Equations of Motion for Constrained Mechanical Systems , 2002 .

[6]  Q Zhang Application of PID Control Technique Based on Parameter Fuzzy Self-Modify in Dozer Control System , 1997 .

[7]  Han Zhao,et al.  A novel trajectory tracking control of AGV based on Udwadia-Kalaba approach , 2017 .

[8]  Leopold Alexander Pars,et al.  A Treatise on Analytical Dynamics , 1981 .

[9]  Ye-Hwa Chen,et al.  Adaptive robust approximate constraint-following control for mechanical systems , 2010, J. Frankl. Inst..

[10]  Han Zhao,et al.  Application of the Udwadia–Kalaba approach to tracking control of mobile robots , 2016 .

[11]  R. Kalaba,et al.  A new perspective on constrained motion , 1992, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[12]  Guan Cheng Bo Shuang-Jia Bai Han Fuzzy decision based sliding mode robust adaptive control for bulldozer , 2010 .

[13]  Juan Andrade-Cetto,et al.  Modeling and Control of Excavator Dynamics during Digging Operation , 1996 .

[14]  Ye-Hwa Chen,et al.  Constraint-following Servo Control Design for Mechanical Systems , 2009 .

[15]  W. E. Schmitendorf,et al.  Analytical dynamics of discrete systems , 1977 .

[16]  Tatsuro Muro Tractive performance of a bulldozer running on weak ground , 1989 .

[17]  He Liu,et al.  The System Model of the Bulldozer Machine Based on the Theory of Design Space Integration and its Experimental Verification , 2011 .

[18]  J. Medanic,et al.  Robust multivariable nonlinear control of a two link excavator. I , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[19]  Alexej Bulgakov,et al.  Adaptive control of bulldozer's workflows , 2016 .

[20]  Nobutaka Ito Bulldozer blade control , 1991 .

[21]  Hao Sun,et al.  A novel approach for modeling and tracking control of a passive-wheel snake robot , 2017 .

[22]  R. Kalaba,et al.  Analytical Dynamics: A New Approach , 1996 .

[23]  F. Udwadia A new perspective on the tracking control of nonlinear structural and mechanical systems , 2003, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[24]  Miroslaw J. Skibniewski,et al.  Dynamic Model of Excavator , 1993 .

[25]  Tatsuro Muro,et al.  A study on fuzzy control of bulldozer blade. , 1992 .