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It is very important to hold the wheeled robotpsilas attitude while running. The adaptive suspension system with magneto-rheological (MR) damper can optimize its attitude by providing continuously variable real-time damping control based on road profile. To address this problem, a control strategy with schema-based human simulated intelligent control (HSIC) theory is proposed and studied. According...
This study discusses the rapid control prototyping approach used for development and investigation of control algorithm in magneto-rheological (MR) semi-active suspension system. Firstly, a multibody dynamic model based on MR suspension system is developed with the aid of VEDYNA software. Based on the model, a new intelligent control algorithm, human simulated intelligent control (HSIC) is proposed...
Due to inherent nonlinear behaviors of magneto-rheological (MR) fluid dampers, one of challenges for utilizing effectively these devices as actuators to control vibration of mechanical system is to develop accurate models. A recurrent neural networks, with 3 input neurons and 1 output neuron in input layer and out layer respectively and 7 recurrent neurons in the hidden layer, is used to simulate...
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