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A smooth moving control method of the power assisted vehicle (PAV) based on a fuzzy neural networks is presented. The PAV is used to generate power for saving use's effort, and PAV needs human-guided to recognize the environment, plan the trajectory without danger of collision. According to the human thrust, PAV provides the assisted force by two servomotors lined the wheels. However, if the gain...
This paper explores a selection method of the design parameter introduced in the extended generalized minimum variance control (GMVC) based on state-space approach by using a genetic algorithm. The extended controller has a new design parameter which can design the controller poles without changing the closed-loop poles, and the genetic algorithm is applied to find the new design parameter and select...
An Adaptive Fuzzy PID Controller with Genetic Algorithm (GA) to tune its parameters is proposed by this paper. The task of the controller is to track the trajectory of a nonlinear system as best as it could. The Lyapunov's direct method is used as a tool for nonlinear system analysis and design. In which, the Lyapunov's linearization method is proven here to be useful for linear control. The paper...
In this paper, diagnosis of actuator/component faults for a class of networked control nonlinear systems based on fuzzy T-S model using adaptive observer techniques is investigated. At first, under certain conditions, a stable adaptive fault diagnosis observer is proposed. Then based on the fault estimation information, a fault tolerant control is designed to recover the system performance using LMI...
An adaptive fuzzy controller for controlling a multi-input-multi-output uncertain nonlinear system is proposed in this paper. The controller design is observer based since not all the system states are measurable. The fuzzy adaptive controller with modulated membership function (FAC_MMF) modulates the fuzzy sets on both the consequent and antecedent parts by adjusting a few parameters. As searching...
In this paper, we examine the parametrization of all disturbance observers for time-delay plants with any input disturbance. The disturbance observers have been used to estimate the disturbance in the plant. Several papers on design methods of disturbance observers have been published. Recently, the parametrization of all disturbance observers for time-delay plants with any output disturbance was...
This paper presents the passivity-based position control of induction motors by using the composite adaptation scheme. Firstly, a current model rotor flux observer estimates the flux, and then the adaptive laws estimate the inverse rotor time constant, moment of inertia, viscous coefficient, and load torque of a motor. The passive properties of the negative feedback connection of the flux observer...
The study proposes to apply the artificial intelligence combining neural network control system and groundwater flow control equations to investigate the hydro-geological structure and hydraulic parameters in the area of Chou-Shui alluvial fan. We set up the closed-loop control system to simulate the variations of groundwater level in the such area. The close-loop control system collects the feedback...
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