Control system of the Plastic injection molding machine formed by electric relays and switching valves has many shortcomings, such as complexity wiring, low control accuracy, inconvenience maintenance and lack of flexibility, using the simulation assessment of the actual application method, this paper designs the injection molding machine control systems based on PLC controller, the new control system is composed by PLC, inverter, sensors and other components, with the help of PID control, which according to the given screw barrel temperature deviation value and measured value, automatically adjust and stabilize of the entire control system. Simulation experimental results show this new control system can achieve better performance is effective, which will decrease energy consumption of the stabilization system; the research achievements have certain theoretical and practical value to the design of injection molding machine control system.

Economic dispatch (ED) is a typical power system operation optimization problem. But it has non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult. According to the characteristics of economic dispatch problem, a improved algorithm based on particle swarm optimization for solving economic dispatch strategy is researched in this paper. Multi-objective economic\environmental dispatch demands that the pollutant emission of power plants should reach minimum while the condition of least generation cost should be satisfied. According to this demand, this multi-objective problem is solved by improved particle swarm optimization (PSO) algorithm. Using particle position and speed of change in the familiar update, the multi-objective particle swarm algorithm based on test function of this algorithm, and the simulation results of simulation optimization. The effectiveness of the proposed algorithm is verified by Simulation.