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Since PID control does not meet the high accuracy requirement for gyro stabilized sighting system of airborne optoelectronic pod operated in the circumstance of strong interference, this paper introduces the application of sliding mode variable structure controller for the position loop of the stabilized system. After the sliding mode variable structure controller with exponential approach law is...
This article use intelligent method based on fuzzy neural network for real-time robot path planning. The constructed fuzzy neural network has six inputs and two outputs. The six inputs are the obstacle distance information detected by the five sonar sensors installed on the robot and the target point relative to the robot orientation information; Obstacle information obtained from the five sensors...
The performance of robust adaptive control system based on traditional revised algorithm is awful in the presence of unmodeled dynamics and the performance will go bad, even be unstable, when the working condition (including the parameter, reference input, and so on) change. This paper designs the multiple models robust adaptive controller to control the discrete single-variable non-minimum phase...
In the structural vibration control, the object often has time-varying and non-linear characteristics, and its exact model is difficult to establish. Due to lack the ability of learning and regulating online, traditional fuzzy control using fuzzy reasoning also has obvious limitations. Adaptive fuzzy control method based on variable universe has advantages such as no need for exact models, fast response,...
Active noise control utilizes the artificial noise to cancel the undesired noise. This technique generates the anti-noise signal with the same magnitude and 180°phase shift to the undesired noise, to destructively interfere the undesired noise. Many researchers have employed the FXLMS algorithm to design the ANC system because of its simplicity. However, the fluctuation of secondary path in FXLMS...
In this paper, a variable direction rotatable axis variable vector propeller (VDRAVVP) is researched. The structure and working principle of VDRAVVP of AUV are described and the mathematic model of AUV in spatial motion was derived based on momentum theorem. Based on the motion model and combined with three degrees of freedom model of vertical motion, a motion simulation system was constructed. Considering...
We propose a Fuzzy Adaptive Active Queue Management Controller (FAAQMC). Its performance objectives are efficient queue utilization, regulated queuing delay, and robustness. In order to achieve efficient queue utilization, the FAAQMC controls buffer length loading of both time-varying arrival rate and departure rate. The FAAQMC regulates queuing delay by minimize buffering with small queue lengths...
Approximate dynamic programming implemented with an Adaptive Critic (AC) neural network (NN) structure has evolved as a powerful alternative technique that eliminates the need for excessive computations and storage requirements in solving optimal control problems. A typical AC structure consists of two interacting NNs. In this paper, a new architecture, called the “Cost Function Based Single Network...
In this manuscript, we propose an adaptive fuzzy logic controller for a DC-DC boost converter with parametric and load uncertainties. The control strategy aims to achieve accurate voltage tracking with unknown dynamics, highly parameter and load variations, and no current sensing. Therefore, robustness to uncertainties of large magnitudes is achieved without the inner current control loop, which reduces...
When the systems are preceded by the unknown hysteresis, the system performance will be degraded due to the existence of the unknown hysteresis. The unmeasurable output and the strong non-smooth properties of the hysteresis cause the difficulties to utilize the available control approaches to ensure the system performance. Therefore, for the systems with unknown hysteresis input, the main task for...
This paper presents hybrid control strategy for robust trajectory tracking control for a class of uncertain nonlinear mechanical systems. The design combines adaptive fuzzy system with robust adaptive control algorithm. Adaptive fuzzy system approximates unknown nonlinear system dynamics while a robustifying adaptive control term is used to cope with uncertainties due to the presence of external disturbance,...
Distributed robust adaptive control is investigated for a class of stochastic multi-agent systems with unknown time-varying structure parameters, unmodeled dynamics, external disturbances, and interactions among agents. The control goal is to make the states of all the agents converge to a desired function of the population state average (PSA). Due to the fact that only local information is available...
The flight simulator is one kind of servo system with uncertainties and disturbances. To obtain high tracking performance and good robustness for the flight simulator, we present robust tracking control based perfect tracking controller(PTC) which realizes no magnitude error and phase error for flight simulator during working in a wide frequency range. Firstly, system model of fight simulator is described...
The paper describes the design and implementation of a self-tuning load frequency controller (LFC) of a power system based on the adaptive generalized predictive (AGP) controller. The application of predictive control in power system control is considered due to its ability to handle disturbances and un modeled dynamics often encountered in interconnected power system environments. The system dynamics...
In this paper, we address the problem of actuator fault estimation for continuous linear time-invariant system in the presence of external disturbances. Based on an adaptive observer, the Robust Adaptive Fast Fault Estimation observer (RAFFE) is designed to enhance speed actuator estimation. The construction of the proposed observer is carried out through transformation of system into its Special...
Supply chains are typical complex systems, which can be studied from the perspective of Complex Networks. After introducing Complex Networks theory, the paper analyses the situation and problems about supply chain modeling based on complex networks. Finally, the directions of this field are also discussed.
In view of the boiler having a non-linear, non-minimum phase characteristics, instability, time-delay and load disturbance, the steam separator dynamic instability, sensor noise as well as precise mathematical model being difficult to establish, the paper presented a new type of clustering adaptive fuzzy controllers applied to non-linear, multi-interference and strong coupling of the boiler feed water...
This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty, high order and hysteresis, this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum...
Brushless DC motor speed servo system is multivariable, nonlinear and strong coupling. Its performance is easily influenced by the parameter variation, the cogging torque and the load disturbance. To solve the deficiency, the paper represents the algorithm of active-disturbance rejection control (ADRC) based on back-propagation (BP) neural network. The ADRC is independent of accurate system and its...
Robust adaptive observers for uncertain systems corrupted by bounded disturbances have to overcome two main problems. They have to guarantee a bounded parameter estimation, because it is well known that an arbitrarily small disturbance might drift to infinity the parameter estimation error even if the state estimate error remains bounded, and they have to ensure a robust state and parameter estimation...
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