Nonlinear Adaptive Back-Stepping Optimization Control of the Hydraulic Active Suspension Actuator

The displacement tracking performance of the electro-hydraulic servo actuator is critical for hydraulic active suspension control. To tackle problem slow time-varying parameters in existing dynamics model, a nonlinear adaptive back-stepping control (ABC) approach adopted. Simultaneously, ABC are difficult to configure, resulting poor effect. An enhanced particle swarm optimization (PSO) integrating crazy particles (CP) and acceleration coefficients (TVAC) suggested optimize controller settings. Furthermore, order obtain satisfactory dynamic characteristics transition process, absolute value error time integral index used as minimum function parameter selection, square term input added prevent excessive energy. Finally, it can be observed from simulation results highest emax error, average eμ standard deviation eσ that optimized by PSO+CP+ATVC superior manually given parameters. Therefore, this method significantly improves stability speed system. It provides new research idea controllers.