When lifting the wire rope connection counterweight, synchronous control has high requirements on speed, response, precision and stability, and the fixed parameters PID （FPP） is hard to meet the control requirements under wide load conditions. Firstly, a master-slave variable benchmark strategy （VBS） is designed as the bottom strategy to achieve the maximum speed and accuracy of system design. Secondly, it proposes a variable parameters PID self-adaption approach （VPPSA）. In this approach, the parameters Kp，Ki，Kd following tuning rules are introduced into deviation objective function as cost items for the fitness calculation of meta-heuristic algorithm. For the searched group（Kp，Ki，Kd），when the cost items are small, the objective value is small and the fitness is large. Therefore, the parameters can be tuned adaptively to obtain the minimum deviation value. Genetic algorithm （GA） and particle swarm optimization algorithm （PSO） are used for real-time parameters tuning, deviation optimizing and synchronization tracking，respectively, and the synchronization effects are compared with that of FPP. Simulation shows that the VPPSA can adapt to wide range of load conditions, and has better performances in terms of accuracy, response and stability than the FPP. The VPPSA based on VBS can realize the rapid and stable synchronous lifting of large inertia system.