| In this thesis with crawler paver driving drive system as the research object, using force equilibrium equations and flow continuity equation establish system static mathematic model, in the simulation software establish corresponding dynamic simulation model, and use the AMESim simulation software system dynamic performance of affecting factors on the simulation analysis, The system's speed can't keep stable when its load changes. And some parameters may change during working process, so pump-controlled motor system is a typical complex nonlinear system. Therefore, at present, it is an important task to find a more efficacious control method for controlling system's caused by the changes of load and so on.According to these factors, this paper introduces the design of the conventional PID adaptive fuzzy PID, based on interference observer fuzzy adaptive PID and single neuron adaptive PID controller and simulate calculation, and the control effect is compared, the result shows that the reasonable design by the controller, the dynamic function of the system can be improved. This thesis mainly research work and contribution as follows:This thesis mainly include the following aspects of content:Firstly,using AMESim simulation software established the simplified control model ofcrawler paver driving drive system, and analyzes the leak coefficient, load size, load inertia, volume elastic modulus, high-pressure volume of system influence.Secondly,driving control system based on crawler paver, design the analysis model of conventional PID, fuzzy adaptive PID, based on the fuzzy adaptive disturbance observer PID and single neuron adaptive PID controller, the simulation results show:using single neuron adaptive PID controller in front of the simulation results obtained with comparing several controller,found that use of the single neuron adaptive PID controller, the system of super rising shorten, response time shorten and arrival steady time shorten as well. |
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