| Because there are so many non-linear elements in processing of wood bending that it is very difficult to establishe an accurate mathematic model of the control system. According to these characteristics this thesis apply the fussy control and neural net-work fussy control in the control system of bending wood robot.First, to the characteristics of the control system of bending wood robot, the thesis adopt the two-class control scheme based on Advantech industrial computer and DSP-based motion controller, designed the hardware of the control system. Module design method is adopted in hardware of control system to heighten the stability of system and make it easy to upgrade.Later on, the application of intelligence control theory was discussed in detail in the paper. The fussy control and neural net-work fussy control to the wood bending process is brought forward and the fuzzy controller that has adjustable scale factor is designed. The error back propagation arithmetic was deduced in the paper and according to this arithmetic design the train formulation for programming of fuzzy neural net-work based BP net-work and network training sofeware, and attain a satisfacted request neural net-work The result of experiment has proved that the intelligent control system can attain special request of the bending woodcontrol and good robust and anti-jamming.The lastly, combined the hardware the paper complete the design of control system software. The software is programmed with Visual C++6.0.A set of software system that is based on module and Windows is designed for bending wood manufacture robot. It includes the realization of system software key management function, programme of software on motion control and the study of system control software. The hardware and software performance of the control system is tested by the machine examination in the end.This thesis is with the nation "863" high technology item "bending wood robot product line" for the subject source, and has got subsidizing of it.
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