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Aimed at the shortcomings that traditional fuzzy logic control method for solar LED illumination system maximum power point tracking (MPPT) control system, a novel solar LED illumination control strategy based on variable univers adaptive fuzzy PID controller is proposed.The controller can automatically adjusts the variable univers with the change of photovoltaic output power deviation, to realize...
In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered in the context of control system design. As a result, an H∞ approach to adaptive controller that consists of two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in which the related parameters...
This paper reports on the design of an adaptive controller based on flexi-structure neural network (FSNN) for dissolved oxygen (DO) in an activated sludge wastewater treatment plant (WWTP). The proposed FSNN incorporates a structure variable feedforward neural network (FNN), where the FNN can determine its structure on-line automatically. The structure of the FNN is adapted to cope with operating...
Robust and adaptive controller of the uncertain mobile manipulator with holonomic and non-holonomic constrains is designed. Considering some problems in model reduction by implicit function theorem when the mobile manipulator subjects to holonomic and non-holonomic constrains, an uniform expression of holonomic and non-holonomic constrains is introduced, and then based on the reduced model, a steady...
This paper proposes an adaptive controller for a free-floating space robot (FFSR) in the presence of friction, disturbance and variation of payload based on robust fuzzy compensator. In the micro-gravity environment, the FFSR lacks a fixed base, so the high dynamic coupling between the manipulators and the free-floating base leads to two inherent difficulties, such as non-linear parameterization of...
In recent years the area of nonlinear control systems has been the subject of many studies. Computational developments have enabled more complex applications to provide solutions to nonlinear problems. The purpose of this paper is to use a combination of two techniques to control a nonlinear system: the Magnetic Levitation System. First, the exact linearization technique with state feedback is applied...
In this paper, a neuro-fuzzy control-based approach is used for networked control systems to overcome the negative effects of the network-induced delays. This approach can timely modify the weights of the adaptive controller to improve control performance. Finally, by modeling networked control system with Matlab truetime toolbox, and the simulation results show that networked control systems based...
In this paper, a model-free intelligent controller is proposed to control the piezoelectrically actuated system. This control strategy employs the Haar wavelet functional approximation technique (FAT) to establish the unknown function for releasing the model-based requirement of the sliding mode control. In addition, an adaptive fuzzy scheme with online learning ability is introduced to compensate...
We present our ongoing work on the development of Adaptive Neuro Fuzzy Inference System (ANFIS) Controller for humanoid servant robot designed for navigation based on vision. In this method, black line on the landmark used as a track for robot's navigation using webcam as line sensor. We proposed architecture of ANFIS controller for servant robot based on mapping method, 3 input and 3 output applied...
Using of the electric motor control system and the principle of rolling plastic deformation, this paper describes the stable state mathematical model of cold rolling process is established. The dynamic process of cold rolling is simulated by using the MATLAB/ Simulink. Cold rolling control system exists time-delay, time-varying, large inertia, nonlinear and other problems. Setting parameters of traditional...
On the basis of analyzing the mathematic model of the permanent magnet synchronous motor (PMSM), a novel approach to PMSM servo system using fuzzy active disturbance rejection controller (ADRC) is presented in this paper, which can meet the needs of rejecting the disturbance and time-vibration of parameters for the AC servo system. Modeling and simulation of the servo system are done based on MATLAB/Simulink,...
To simplify the control task and reduce the computation burden of control system, distributed control system (DCS) becomes the most suitable control system structure especially for medium and large size of industrial processes. In DCS system the control task is distributed among some controllers, which communicate to each other via communication network, such as PLC or/and industrial PC. In most DCS...
In this paper, speed controller based on artificial neural networks ANN and fuzzy logic controller FLC for vector control of AC motors is used. In the case using ANN controller, the tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the command speed. The controller is an adaptive and based on a nonlinear autoregressive...
The paper describes a web-based remote control system for an air conditioner experimental rig, which provides a unified and flexible Web-based interface to access the experimental rig located remotely. The hardware and software infrastructure of the control system is presented. The rig is composed of two test rooms, in which temperature and humidity are required to keep constant. The weakness using...
Network delay highly degrades the control performance of networked control systems (NCS). Aiming to random and uncertain network delay, time-variant or nonlinear controlled plant and imprecise Smith predictor models, a novel approach is proposed that modified Smith predictor combined with fuzzy radial basis function neural network (FRBFNN). This approach can identify the controlled plant on-line,...
In this paper a fuzzy incremental controller is proposed for higher order converter topology, 3rd order buck converter. Main advantage of the proposed converter is the input source current is smooth and exhibits lower ripple current/ EMI. As the converter is of higher order nature controller parameters tuning is a difficult task in conventional design and hence an adaptive controller, fuzzy PI type...
In this study, we propose a novel fuzzy adaptive control technique for output tracking of uncertain nonlinear system, with experiment application to the APC system in roll mills. Firstly, the system is divided into two parts, one is known linear part and the other is unknown nonlinear part. Secondly, an adaptive fuzzy basic function is used only to identify the upper bound of the unknown part, which...
In the paper a robust control system with the fuzzy-neural network is proposed. A model reference adaptive control system is applied to the one- and two-mass systems. Different aspects of application of the examined control structure are discussed. The influence of the number of neuro-fuzzy controller (NFC) rules to the drive system performance is shown. The impact of the electromagnetic torque limit...
A novel AND-OR fuzzy neural network is introduced and the symbol expression is educed in every layer. The equivalence between fuzzy inference and AND-OR FNN is proved. An approach to auto-extracting fuzzy rules is obtained by training the structure of the AND-OR FNN. The AND-OR FNN adaptive controller for ship control is designed, whose superiority is shown by comparing to the conventional fuzzy control...
Conventional controllers are generally designed for a system with a known transfer function. This often requires computational modeling of the process, which can be complex, and sometimes unjustified. Adaptive and intelligent controllers have been proposed to handle uncertain or unknown systems. However, these general-purpose schemes require technical expertise for their design and implementation...
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