Neuro-fuzzy iterative learning control for 4-poster test rig

Abstract

In this paper, a new control method is presented for the 4-poster test systems. The primary aim of the paper is to improve the convergence speed and decrease the error rate for model-based iterative learning control (ILC), a widely used method as a tracking control. First, the dynamic equations of the system are generated, and the control problem is formulated. Then, an inverse model of the system is established directly through the adaptive neuro-fuzzy inference system (ANFIS) with auxiliary parameter (piston position) as a serial combination of two sub-models. In order to construct a neuro-fuzzy ILC (NFILC) structure, these sub-models are integrated into the neuro-fuzzy inverse controller (NFIC). Because of this new structure, the modified ILC rule has two layers. In the first layer, the controlled parameter, namely, the acceleration is iterated, whereas, in the second layer, the auxiliary parameter is iterated. The outcomes of the proposed control method are scrutinized by testing through a numerical simulation. Finally, it is demonstrated that the modified ILC rule dramatically increase the convergence speed and reduce the final error rate.

Study on the interaction between shaking table and eccentric load

“…Substituting equation ( 5) into equation (7), the analytical transfer function can be obtained as follows…”

“…Shaking table is an essential experimental facility to replicate actual vibration conditions in engineering seismic research works, [1][2][3][4] aerospace vibration tests, 5,6 vehicle road simulations, 7,8 etc. The CSI [9][10][11] is the dynamic coupling between shaking table and load in the context of shaking table test.…”

Effect assessment for the interaction between shaking table and eccentric load

“…Electro-hydraulic shaking table is one of the most important pieces of equipment for replicating actual vibration conditions in various applications, including biomedical and geological researches 1 – 3 , engineering seismic research works 4 – 6 , aerospace vibration tests 7 , 8 , and vehicle road simulations 9 , 10 , etc. In the context of shaking table test, the control-structure interaction (CSI) 11 – 13 is the dynamic coupling between shaking table and load (that is the test structure model) (Fig.…”

Simulation method of impact load for vehicle drivetrain on durability test rig

“…Some researchers have arranged different-shaped excitation patterns (traveling bumps) on the surface of the drum test bench to simulate the excitation of target pavement to obtain an effect like that of the traditional hydraulic servo road simulation [7]. In terms of road simulation load control methods, Ufuk Dursun et al [8] established an inverse model of the system through the adaptive neuro-fuzzy inference system (ANFIS) with the auxiliary parameter (piston position) as a serial combination of two sub-models. They conduct extensive simulations that demonstrate the proposed single-layer and double-layer models.…”