A Multi-Neuron Neural Network Algorithm for DSP Servo Control System of Unmanned Reconnaissance Vehicle

To solve the problem of slow data processing speed, inflexible design and application restriction of intelligent algorithm in domestic single-chip servo control system, a new method was proposed based on an improved multi-neuron neural network algorithm for DSP servo control system of the unmanned reconnaissance vehicle. The multi-neuron PID controller was constructed in a parallel connection and intercross form, and operated in DSP. Experiment and simulation results show that the method can converge quickly and can realize self-adjusting of the system controlled quantity without human intervention, validating the validity of the algorithm. The basic research provides a theoretical basis and a reference for further application of the unmanned reconnaissance vehicle in battlefield reconnaissance and emergency rescue of unexpected disasters.