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Adaptive cruise control (ACC) system is a Driver assistant system, which can provide safe and comfortable driving. Based on the analysis of ACC system, a parameter self-tuning fuzzy-PID algorithm is developed to design the ACC control strategy. According to the traffic condition, the parameters of PID controller are adapted on-line by fuzzy rule. The simulation results show that the parameter self-...
In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
Based on a new concept: virtual equivalent system, this paper presents a criterion on the stability and convergence of multivariable stochastic self-tuning control systems. With the aid of presented criterion we can not only analyze and evaluate the performances of various stochastic self-tuning control systems, but also get some guidelines for designing new stochastic self-tuning control systems...
This paper addresses the modeling and control of heating, ventilating, and air-conditioning (HVAC) system while the system is operating under uncertainty and nonlinearity. In order to acquire better performance in the HVAC system, the neuron adaptive PID control was studied through comparing traditional PID control in simulation, which is a method for adaptively adjusting the PID parameters using...
A novel, compact and two degree-of-freedom (DOF) submicro-positioner with a large travel range is presented. The design of the submicro-positioner utilizes a monolithic parallel flexure mechanism with built-in electromagnetic actuators and eddy current sensors to achieve the 2-DOF motion. We have analyzed the dynamics of the positioner and derived its analytical model. The whole control architecture...
The design of a indirect self-tuning power system nodal voltage regulator is presented. A recursive least-squares (RLS) algorithm with variable forgetting factor estimates at each sampling period the parameters of a suitable discrete-time linear model that describes in an approximated way the system dynamics from the regulation node. The proposed model comprises both an unknown bias representing the...
Active vibration control is one of the interesting problems for control engineers. The problem is tackled by making a smart, adaptive and self-controlling structure that requires robust controller. The newly invented second order sliding mode controller (SSMC) not only retains the robustness properties of the classical sliding mode controller (SMC) but also eliminates the drawback of the SMC that...
The contribution deals with a self-tuning controllers library designed under MATLAB-Simulink environment. The library enables design and verification of two input-two output (TITO) discrete self-tuning controllers. It is a completely open system based on Simulink features. The controllers are implemented as encapsulated Simulink blocks and that enables their simple incorporation into existing Simulink...
The paper deals with the control of multivariable systems with the same number of inputs as the number of outputs using a decentralized approach. The controlled system is divided into single input-single output (SISO) subsystems and adaptive controllers are used to control each subsystem. This paper is focused to the usage of self-tuning controllers (STC) which are a subset of adaptive controllers...
Active control of thermoacoustic instabilities in continuous combustion processes is desirable for operating at conditions of low NOx, high performance, and high efficiency. We have previously developed a model-based approach for active control design by taking into account underlying acoustics and heat release dynamics. While this model captures a number of the dominant dynamic features of a premixed...
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