Adaptive sliding control of non-autonomous active suspension systems with time-varying loadings

Control of Nonlinear Active Vehicle Suspension Systems Using Disturbance Observers

“…Some numerical simulations were performed on a nonlinear quarter-vehicle suspension system characterized by the following set of realistic parameters (Tahboub, 2005) to verify the effectiveness of the proposed disturbance observer-control design methodology (see Table 1 The following trajectory was utilized to simulate the unknown exogenous disturbance excitations due to irregular road surfaces (Chen & Huang, 2005):…”

“…Some active control schemes are based on neural networks, genetic algorithms, fuzzy logic, sliding modes, H-infinity, adaptive control, disturbance observers, LQR, backstepping control techniques, etc. See, e.g., (Cao et al, 2008); (Isermann & Munchhof, 2011); (Martins et al, 2006); (Tahboub, 2005); (Chen & Huang, 2005) and references therein. In addition, some interesting semiactive vibration control schemes, based on Electro-Rheological (ER) and Magneto-Rheological (MR) dampers, have been proposed and implemented on commercial vehicles.…”

Function Approximation-based Sliding Mode Adaptive Control for Time-varying Uncertain Nonlinear Systems

“…J. Wu et al, 2007;Fang et al, 2006;Chiang et al, 2007). These research problems are hotspot in the control realm, and some results have been obtained through years of hard work of researchers Chen & Huang, 2005;Huang & Liao, 2006;Liang et al, 2008). These research works adopt a common technique named function approximation technique (FAT) despite of their different design methods.…”

The Future Development and Analysis of Vehicle Active Suspension System

“…So far, many control approaches such as Linear Quadratic Regulator (LQR) [23], Linear Quadratic Gaussian (LQG) control [24], Adaptive sliding control [25], H∞ control [26], sliding mode control [27], fuzzy logic [28], preview control [29], optimal control [30] and neural network methods [31] have been used in the area of active suspensions. The performance of the active suspension system can be improved by control methods.…”