CAJ | 학술논문

某大型设备的液压系统在工作中需要一定的油压对其进行支撑，所以要保证油压根据要求维持在某一稳定值。针对于此，研究并设计了一个基于DSP的自适应神经元网络控制系统，通过该控制算法可以调整油泵电机的频率使得油压达到要求的稳定值。由于该液压控制系统在实际运行中油压值会出现波动，因此调节的快速性和稳定性是本控制系统的关键。该控制算法经由现场采样和实验的仿真测试，证实了其有效性。
모대형설비적액압계통재공작중수요일정적유압대기진행지탱，소이요보증유압근거요구유지재모일은정치。침대우차，연구병설계료일개기우DSP적자괄응신경원망락공제계통，통과해공제산법가이조정유빙전궤적빈솔사득유압체도요구적은정치。유우해액압공제계통재실제운행중유압치회출현파동，인차조절적쾌속성화은정성시본공제계통적관건。해공제산법경유현장채양화실험적방진측시，증실료기유효성。
Hydraulic system of large equipment must be supported by oil pressure which should be maintained at a stable value. ln this paper,a neuronal network control system based on DSP is designed to control the frequency of the pump motor to make the oil reach a stable value.As the hydraulic value wil fluctuate in the actual operation,so the speed and stability is the key to the control system.The simulation test confirmed the validity of this method.