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The recognition accuracy of traditional voiceprint recognition system is low, and there is a problem of speech recognition noise robustness. Aiming at the above problems, a new voiceprint recognition robot control system is designed based on non-monotone conjugate gradient algorithm. The BioVoice 2.0 standard voiceprint collector is used to collect data, extract voiceprint features, and build a model library based on the extracted voiceprint features. At the same time, two voiceprint data acquisition terminals are cited, the models are TMC104-B and TMC104 respectively, and the robot with model AS-MrobotR is selected to cooperate with the collector and the collection terminal to achieve work. In the Windows platform, a special program is studied using C/C+ language. The mde-api database is added inside the program to complete the training program and the recognition program. The experimental results show that the voiceprint recognition robot control system based on non-monotone conjugate gradient algorithm can solve the problem of speech recognition noise robustness. The recognition accuracy is improved by 15.24% in noisy environment. The accuracy rate increased by 21.55%.