Modelling and Force Tracking Control of Hydraulic Actuator for an Active Suspension System

Proportional-integral-derivative control of nonlinear half-car electro-hydraulic suspension systems

“…This is because the main focus was on calculation of the required control force, excluding the dynamics of the force generating actuators (Chantranuwathana and Peng, 2004;Sam and Hudha, 2006). Although many other types of actuators have been proposed in the literature, hydraulic actuators are the most common in AVSS owing to their rapid response time, high stiffness, superior power-to-weight ratio, low cost, and low heat dissipation during periods of sustained force generation (Dahunsi et al, 2009;Pedro and Dahunsi, 2011).…”

“…Moreover, since force generation in hydraulic actuators is highly coupled to the motion of the vehicle body (leading to the formation of backpressure), achieving the desired actuator force without force feedback is difficult (Sam and Hudha, 2006). Actuator force feedback stabilizes the hydraulic actuator ensuring that the desired force levels are attained, thereby improving vehicle ride comfort and road holding.…”

“…Chantranuwathana and Peng (2004) studied adaptive force control of a quarter-car AVSS model using model reference adaptive control (MRAC). Sam and Hudha (2006) presented state feedback control of the outer loop together with PI control of the hydraulic actuator force in the inner control loop. Ji et al (2007) applied a linear quadratic regulator (LQR) to sprung mass position control and time delay force control, to an electro-hydraulic quarter-car AVSS.…”

Design Aspects of an Active Electromagnetic Suspension System for Automotive Applications

“…which offer a high force density and ease in design due to the commercial availability of the various parts. However, these systems have a relatively low bandwidth (around 1Hz) [1], [2] probably due to leakage in the valves and pressure hoses and limited bandwidth of the pump. Furthermore, these systems are inefficient due to the need for a continuous pressurized system.…”

Application Of Self-Tuning Fuzzy Pid Controller On Industrial Hydraulic Actuator Using System Identification Approach

“…Sliding Mode Control (SMC) was used to investigate the position tracking problem and combine with fuzzy inference and PI to improve the tracking accuracy [12]. Then, force tracking control was performed using PI controller to reject the effects of disturbance [13] and recurrent neural networks to eliminate the undesired chattering effect [14]. Moreover, the Lyapunov-based nonlinear controllers are widely used, with their main advantage being the lack of restrictions in manipulating system nonlinearities, where an electro-hydraulic actuator is provided with good tracking force [15].…”