基于CPR的混合动力挖掘机液压节能系统及其控制研究
[Abstract]:The continuous aggravation of the energy crisis and the environmental pollution has gradually become the key problem that restricts the healthy development of the human society. Especially for the excavators with the characteristics of large amount, low efficiency and poor emission, the study of energy conservation is not only helpful to alleviate the pressure of energy, protect the environment but also have guidance to other types of engineering machinery. Hydraulic hybrid power technology has the advantages of high power density, full full charge and full discharge capacity and can recover energy, so it is one of the most advanced technologies with the most industrial application prospects. But so far, the research on Hydraulic Hybrid excavators is mostly limited to a certain sub circuit, especially the lack of macro to the whole. The research on the system design, the derived energy control strategy and the performance of the executive component control results in the practical application of this technology greatly limited. This paper is based on the National Natural Science Foundation Project "the theoretical foundation of the energy saving hydrostatic transmission hybrid system and the related technology research", based on CPR The hydraulic system of the hybrid power excavator is the research object, and the key technology in the process of the actual hydraulic system analysis and design to the actual implementation process is thoroughly studied.
Combined with the development status of hybrid power excavators both at home and abroad, the characteristics of hydraulic hybrid power and electric hybrid power are compared and the specific models are compared longitudinally. The hydraulic hybrid power technology based on CPR is selected as the research object, and the development status and trend of this technology are summarized. The structure of the hydraulic system of the hybrid power excavator based on CPR is switched and the working principle is expounded. The mathematical model of the whole machine is established by combining the theoretical analysis and the single test of the key components. The selection method of the new components in the new system is put forward. The friction coefficient of the hydraulic cylinder, for example, is analyzed by the method of dynamic analysis. The identification and analysis of the parameters which can not be obtained directly but have a great influence on the simulation analysis are carried out under the individual motion of the manipulator, and the results are verified by the results of the complex working condition of the manipulator. Then, the engine fuel consumption is optimized under the standard condition by using the obtained machine parameters. The discrete dynamic programming algorithm is used to optimize and match the parameters of the key components of the excavator, thereby reducing the fuel consumption of the whole machine.
By comparing and quantifying the energy consumption of the original excavator based on LUDV principle and the new type liquid concrete excavator in the same working condition, the results show that the new system can save energy 37%, and combined with the energy consumption distribution of the new type liquid mixing excavator, the method of further saving energy by reducing the overflow pressure of the control oil road is put forward. The structure of the hierarchical control system for the new type liquid mixing excavator is taken into account. The task of each layer is clarified and the middle layer is the main research content. Three rules based control strategies have been developed, in which the single point quasi constant pressure control strategy has the best comprehensive effect.
In order to reduce the oil consumption control strategy, the control performance of the actuator may be reduced. A forward compensating sliding mode controller with integral terms is designed for the leading mechanism of the control oil road. It can reduce the control performance of the control oil under the premise of reducing the pressure of the oil path. The problem of interference, especially the poor anti-interference ability of the gyroscope introduced for the first time, has developed a speed control system based on the new observer, which ensures better control performance under the abnormal working condition of the sensor. Finally, the hydraulic transformer control hydraulic cylinder system has coupling and strong nonlinear problems, and the design is designed. The controller with dynamic pressure feedback and fuzzy control does not need to pay attention to the internal structure of the system model, and improves the robustness of the speed control of the hydraulic cylinder.
At the end of this paper, the actual machine experiment and the bench simulation experiment are carried out. First, a data acquisition system is added to a 5T excavator based on LUDV principle, and the test of the standard working condition is carried out. The energy consumption analysis is carried out with the test data to verify the accuracy of the model. Then, the hydraulic pump / motor is directly driven by the engine and the overflow is used to overflow. The experiment of the forward compensating sliding mode controller which is proposed to increase the integral term is carried out in the way of the valve simulating the load. The results show that the algorithm can effectively improve the accuracy and robustness of the variable (variable pressure) mechanism position control system. The modification based on the principle of CPR is carried out on the rotary device, and the proposed formula is proved by the experiments of no load and heavy load. Then, the simulation experiment platform of hydraulic transformer to control the hydraulic cylinder is built, and the angle control and the position control experiment of the hydraulic transformer are carried out respectively. The experimental results show that the control method can complete the presupposition task, although the precision is not high, but it is suitable for the excavator for accuracy. Low engineering machinery field.
【学位授予单位】:哈尔滨工业大学
【学位级别】:博士
【学位授予年份】:2014
【分类号】:TU621
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