Research Of The Decoding Module In CNC System

Using the popular ARM 7 processor and core control parts FPGA as hardware platform, this thesis research decoding module in CNC system. Mainly using interpretive mode, It rounded analysis and research majority function which need realized in decoding module, owing to finiteness of hardware resource in embedded system. Firstly constructing lexical analyzer of our system by using analysis strategy of finite state automaton (DFA). Then priority analyzing subroutine call and return function, presenting its implementation method under interpretive mode, presenting simple and reliable implementation control strategy of macroprogram under interpretive mode which settle the nonsynchronous problem between decoding task and total task. Machining loop is a complex content in decoding module, its implementation is especially hard under interpretive mode. This thesis actualizes customer machining loop program by combining compiling mode and interpretive mode. This method not only lightening the system hardware bear but also satisfying real-timing requirement. Finally through compiling program, it proves decoding module implementation method and the feasibility of the scheme by supplying experimental findings.