Autonomous Control Strategy Based on Human Simulated Intelligence for Complex System with Uncertainty
In order to overcome the difficulty of implementing precise control due to complex uncertainties in the underlying control of hydraulic mechanical systems,this article explores an autonomous control strategy based on humanoid intelligence,summarizes the con-trol difficulties in the underlying control and the control theory characteristics of the control operation process,discusses the control strategy for complex and uncertain hydraulic mechanical operation processes,and integrates automatic control theory with humanoid intelligent control thinking,analyzes and constructs basic control algorithms that match the control characteristics of hydraulic machin-ery operation processes.Then,taking the first-order uncertainty process control of the excavator hydraulic mechanical system as an example,simulation experiments were conducted to verify the rationality,feasibility,and effectiveness of the humanoid intelligent au-tonomous control strategy.The results of simulation comparison research indicate that using control based on humanoid intelligence is the preferred strategy for achieving autonomous control at the bottom level of hydraulic mechanical systems with complex uncertainty.
hydraulic mechanical systemautonomous control of bottom layercomplex uncertaintyhuman simulated intelligent control strategy
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