Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault

Abstract

This paper is focused on reliable fuzzy H ∞ controller design for active suspension systems with actuator delay and fault. Takagi-Sugeno (T-S) fuzzy model approach is adapted in the study with consideration of the sprung and unsprung masses variation, the actuator delay and fault, and other suspension performances. By utilizing parallel-distributed compensation scheme, a reliable fuzzy H ∞ performance analysis criterion is derived for the proposed T-S fuzzy model. Then, a reliable fuzzy H ∞ controller is designed such that the resulting T-S fuzzy system is reliable in the sense that it is asymptotically stable and has a prescribed H ∞ performance under given constraints. The existence condition of the reliable fuzzy H ∞ controller is obtained in terms of linear matrix inequalities Finally, a quarter-vehicle suspension model is used to demonstrate the effectiveness and potential of the proposed design techniques.

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

“…Lin and Lian [13] developed a hybrid selforganizing fuzzy controller and radial basis function neural network controller for application in active suspension system. Li et al [14] [19] developed a fuzzy self-tuning mechanism to achieve the gain parameters of PID controller in active quarter car model. Fard and Samadi [20] trained the adaptive neuro fuzzy controller (ANFIS) using the database of fuzzy, LQR and sliding mode controller.…”

Static output‐feedback control for interval type‐2 discrete‐time fuzzy systems

“…8i; j; t; R 2ij 1R ijt 1S > 0; (19) where N ij 5e iji1i2ÁÁÁints R 1ij 1 e iji1i2ÁÁÁints 2e iji1i2ÁÁÁints R ijt 1e iji1i2ÁÁÁints S;…”

“…Consequently, reliable control or reliable control method [15,16] is introduced to tolerate the failures of actuators and sensors, and further maintain the stability and performances of systems. Over the past few decades, the reliable control problem for nonlinear systems has drawn considerable attention and many results have been developed [13,[16][17][18][19][20][21][22][23][24][25][26]. To mention a few, the work in [18] addressed the reliable mixed L 2 =H 1 control for the Takagi-Sugeno (T-S) fuzzy model via static output-feedback (SOF) control approach.…”

Fuzzy Identification and Delay Compensation based on the Force/Position Control Scheme of the 5-DOF Redundantly Actuated Parallel Robot

“…Multi-input multi-output system can be simplified into a plurality of multi-input single-output system. The control techniques based on the T-S fuzzy model are developed for nonlinear systems [36][37][38][39][40][41][42][43][44]. The authors of [45] proposed a interconnected T-S fuzzy technique for nonlinear time-delay structural systems.…”