In order to enhance the performance of automobile suspension, a glowworm-PID (Proportion-Integral-Differentiation) algorithm was put forward. Firstly, on the basis of analyzing the basic principle of glowworm-PID algorithm, the glowworm-PID algorithm for motor actuator suspension was developed and the steps and flow diagram of the algorithm were given. Secondly, traditional motor actuator was improved and mathematical model and simulation model of 4 degrees of freedom motor actuator suspension were built. Hardware-In-the-Loop Simulation (HILS) algorithm testing system of active suspension was developed by taking dSPACE as the carrier of the simulation model. Lastly, simulation experiments of testing Glowworm-PID algorithm were carried out on the testing system with different vehicle data and road input. The simulation results indicated that Glowworm-PID algorithm designed in this paper could reduce acceleration of vehicle bodies, working space of suspensions and moving displacement of tires, and so on.

To improve Dalvik virtual machine performance, a hybrid concurrent model based on multi-thread mechanism for Java virtual machine was proposed. This model implemented performance optimization by overlapping the production of native code with program execution through multi-thread control and hot-function table, and some critical issues in the design and implementation were also discussed. The experimental results show that this model can improve the Java execution speed efficiently in Dalvik.