The Research Control Optimization Strategy Based On Mix Algorithm For Hydraulic Drive Control System Of Jumbolter

Rotary impact type hydraulic jumbolter is used in anchoring construction widely, but there are some defaults in traditional hydraulic jumbolter, for example, the impact energy and frequency can not be controlled or only be controlled manually in several gear, impact energy and frequency can not be effectively matched, especially as the hardness of rock and soil is changed, the adaptability and flexibility of traditional hydraulic jumbolter are bad. The other reliability of electrical control system is bad and intelligent control of the machine is low.Based on the previous research, this paper focuses on steplessly variable position rotary impact type hydraulic jumbolter and research hydraulic control system based on PLC, Inverter and HMI, and control optimization strategy based on ant colony and genetic mix algorithm is put forward.The mainly research conclusion and innovation are as follows:(1)Based on the analysis of rock's features, this paper studies the electronic loads outside of breakstone, stress distribution status, physical process of brokering rocks, crushing function reverse and factors interfere crashing development, decides reasonable parameters for crashing techniques, establishes wave mechanics and finite element model of rotary impact type hydraulic jumbolter crashing rock-soil system, analyses stress wave production, transfer and effect of drill efficiency when drill moving forward, construes the effect of compact power transfer and work efficiency by propulsion. The experiment and stimulation show that impact power gradually decreases along with drill moving forward. At the end of drill period, impact power could not crash rock and soil, drill bits appear rebound phenomenon.(2)Based on the working principle of position feedback type of hydraulic impactor and hydraulic impactor machine steplessly control, this paper creates the mathematically modal of variable distances hydraulic impactor machine, studies the working characteristic of hydraulic jumbolter impact piston and accumulator, designs hydraulic jumbolter drive control system and stimulation model. The experiment and stimulation show that changing system working pressure and push power(force degree gradually increase) coordinately could chang impact energy and frequency of hydraulic impactor. When increases the displacement of relief surface, the displacement of impact piston also increases, which lead to increase impact energy and decrease impact frequency. On the contrary, when decreases the displacement of relief surface, the displacement of impact piston also decreases, which lead to decrease impact energy and increase impact frequency. The results offer foundation to study the hydraulic jumbolter drive system optimum control strategy.(3)This paper finds the deficiency of existed optimum strategy algorithm after compared Ant Algorithm, Genetic Algorithm, classical Z-N method and optimization of PID parameters, comes up with optimization of PID parameters based on ant colony and genetic mix algorithm. The PID parameters are calculated by genetic algorithm, and then running the improved ant colony algorithm, by auto adjusting the route choice probability and pheromone updating rule, finally to search out the optimal value of the PID parameters. The experiment and stimulation show that the PID parameters getting from this algorithm are efficient, accurate and speedy. This paper uses algorithm for optimal control of sleeplessly variable distance rotary impact type hydraulic jumbolter. According to the change of peak oil pressure of relief chamberh?P of variable distance machine in different working conditions, the pushing force tF and working oil pressure dP are best matched, though self-adapted Ant colony and Genetic mix algorithm, the impact energy E and frequency f can be reasonable controlled in MAX power of the jumbolter and satisfied for the current working conditions. Also, when peak oil pressure of relief chamber is changed, optimum algorithm will find suitable dP and tF based on MAX power requirement to change displacement of relief surface, which lead to changing displacement of impact piston, at the same time, it will change the impact power and frequency of impactor, and realize impactor auto change working parameters based on the different situation under suitable parameters and MAX power working condition.(4)Based on PLC, HMI and Inverter, this paper builds drive control system experiment platform of rotary impact type hydraulic jumbolter, which offers press oil to push unit and impact unit continuously and automatically. It realizes system mode visualization and intelligent control though the application of HMI. According to the principle of hydraulic drive system optimum control strategy, putting push force and system working oil pressure as set figures, compared with feedback figures collected by pressure senor, also based on the different hardness of rock and soil, it will change push force and system working oil pressure coordinately, make these two parameters suitable, help to realize optimal control of steplessly variable, make sure impactor work under MAX power working condition with suitable parameters.