Design of simultaneous input-shaping-based SIRMs fuzzy control for double-pendulum-type overhead cranes

Overhead cranes are extensively employed but their performance suffers from the natural sway of payloads. Sometime, the sway exhibits double-pendulum motions. To suppress the motions, this paper investigates the design of simultaneous input-shaping-based fuzzy control for double-pendulum-type overhead cranes. The fuzzy control method is based on the single input-rule modules (SIRMs). Provided the all the system variables are measurable, the SIRMs fuzzy controller is designed at first. To improve the performance of the fuzzy controller, the simultaneous input shaper is adopted to shape the control command generated by the fuzzy controller. Compared with other two control methods, i.e., the SIRMs fuzzy control and the convolved input-shaping-based SIRMs fuzzy control, simulation results illustrate the feasibility, validity and robustness of the presented control method for the anti-swing control problem of double-pendulum-type overhead cranes.

[1]  Ning Sun,et al.  Energy coupling output feedback control of 4-DOF underactuated cranes with saturated inputs , 2013, Autom..

[2]  Hassan Zarabadipour,et al.  Design of a parallel distributed fuzzy LQR controller for double-pendulum-type overhead cranes , 2011, 2011 IEEE International Conference on Control System, Computing and Engineering.

[3]  Oliver Sawodny,et al.  Crane automation by decoupling control of a double pendulum using two translational actuators , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[4]  Masaharu Mizumoto,et al.  SIRMs connected fuzzy inference method adopting emphasis and suppression , 2013, Fuzzy Sets Syst..

[5]  J. Smoczek.  P1-TS fuzzy scheduling control system design using local pole placement and interval analysis , 2014 .

[6]  See Hung Lau,et al.  Data-driven SIRMs-connected FIS for prediction of external tendon stress , 2015 .

[7]  Adam Niewiadomski,et al.  Higher order fuzzy logic in controlling selective catalytic reduction systems , 2014 .

[8]  J. Smoczek.  Interval arithmetic-based fuzzy discrete-time crane control scheme design , 2013 .

[9]  Ali H. Nayfeh,et al.  Dynamics and Control of Cranes: A Review , 2003 .

[10]  Le Anh Tuan,et al.  Sliding mode controls of double-pendulum crane systems , 2013 .

[12]  Xuebo Zhang,et al.  A Motion Planning-Based Adaptive Control Method for an Underactuated Crane System , 2012, IEEE Transactions on Control Systems Technology.

[13]  Michael H. Kenison,et al.  Input Shaping Control of Double-Pendulum Bridge Crane Oscillations , 2008 .

[14]  Jason Lawrence,et al.  Command Shaping for Nonlinear Crane Dynamics , 2010 .

[15]  Ehsan Maleki,et al.  Swing Dynamics and Input-Shaping Control of Human-Operated Double-Pendulum Boom Cranes , 2012 .

[16]  Joshua Vaughan,et al.  Control of Tower Cranes With Double-Pendulum Payload Dynamics , 2010, IEEE Transactions on Control Systems Technology.

[17]  Jianqiang Yi,et al.  Anti-swing and positioning control of overhead traveling crane , 2003, Inf. Sci..

[18]  K. Brudzewski,et al.  Modified neuro-fuzzy TSK network and its application in electronic nose , 2013 .

[19]  William J. O'Connor,et al.  Gantry crane control of a double-pendulum, distributed-mass load, using mechanical wave concepts , 2013 .

[20]  Long Cheng,et al.  Tracking Control of a Closed-Chain Five-Bar Robot With Two Degrees of Freedom by Integration of an Approximation-Based Approach and Mechanical Design , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[21]  Shiwen Tong,et al.  Control of a fuel cell based on the SIRMs fuzzy inference model , 2013 .

[22]  Jianqiang Yi,et al.  Adaptive Control Based on Incremental Hierarchical Sliding Mode for Overhead Crane Systems , 2013 .

[23]  Ning Sun,et al.  Minimum-Time Trajectory Planning for Underactuated Overhead Crane Systems With State and Control Constraints , 2014, IEEE Transactions on Industrial Electronics.

[24]  William E. Singhose,et al.  Increasing Crane Payload Swing by Shaping Human Operator Commands , 2014, IEEE Transactions on Human-Machine Systems.

[25]  William Singhose,et al.  Performance studies of human operators driving double-pendulum bridge cranes , 2010 .

[26]  Dongkyoung Chwa,et al.  Adaptive Sliding-Mode Antisway Control of Uncertain Overhead Cranes With High-Speed Hoisting Motion , 2014, IEEE Transactions on Fuzzy Systems.

[27]  Jianqiang Yi,et al.  Design of Combining Sliding Mode Controller for Overhead Crane Systems , 2013 .

[28]  Khaled A. Alhazza,et al.  A hybrid command-shaper for double-pendulum overhead cranes , 2014 .

[29]  William Singhose,et al.  Double-pendulum gantry crane dynamics and control , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).

[30]  Jianqiang Yi,et al.  A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control , 2002, Fuzzy Sets Syst..

[31]  Jianqiang Yi,et al.  Dynamics and GA-Based Stable Control for a Class of Underactuated Mechanical Systems , 2008 .