In order to improve the performance of the hydraulic support electro-hydraulic control\nsystem test platform, a self-tuning proportion integration differentiation (PID) controller is proposed\nto imitate the actual pressure of the hydraulic support. To avoid the premature convergence and to\nimprove the convergence velocity for tuning PID parameters, the PID controller is optimized with\na hybrid optimization algorithm integrated with the particle swarm algorithm (PSO) and genetic\nalgorithm (GA). A selection probability and an adaptive cross probability are introduced into the\nPSO to enhance the diversity of particles. The proportional overflow valve is installed to control the\npressure of the pillar cylinder. The data of the control voltage of the proportional relief valve amplifier\nand pillar pressure are collected to acquire the system transfer function. Several simulations with\ndifferent methods are performed on the hydraulic cylinder pressure system. The results demonstrate\nthat the hybrid algorithm for a PID controller has comparatively better global search ability and\nfaster convergence velocity on the pressure control of the hydraulic cylinder. Finally, an experiment\nis conducted to verify the validity of the proposed method.
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