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A kind of membership function, called as generalized linear membership function(GLMF), is designed in the paper, and the triangular and trapezoid ones are as its special cases. It is derived that the fuzzy-PID Controller with GLMF is equivalent to the sum of a nonlinear PID controller and a compensation value, based on the analytical structure of the controller. With the definition of fuzzy Lyapunov...
For a class of linear time-varying system with non-uniform sample, we discrete the system by combination of both norm invariant and step invariant transformation, taking the problem of non-uniform sample transformed into discrete time varying system problem. Based on designed the fault estimator, we construct Lyapunov function, to get the essential condition of the error equation asymptotic stability...
In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not introduced. However, the number of parameter estimates is reduced to be minimal, which is exactly the same as that of unknown parameters. The parametric strict-feedback system is employed to...
With the wide use of computer and the rapid development of network technology, the research in the emerging area of networked control systems (NCSs) has attracted considerable attention in the research community. The purpose of this survey is to provide a review of state-of-the-art of such research. We particularly discuss things as follows: event-driven sampling for energy and communication efficiency,...
Affected by the signal sampling, processing and executing delays, the conventional dead-beat control is actually a one-step-delay control. To solve this problem, an improved dead-beat control method is discussed in this paper. The method calculates the output average voltage one sampling period earlier using the prediction reference current value two sample instants in advance and the inverter output...
This paper derives an approximate discrete-time model for a nonlinear 3-DOF (degree-of-freedom) tandem-rotor model helicopter in the case of the multirate input and hold, which is accurate to some order in the sampling period. More importantly, the proposed model has more accurate than the classic Euler approximation. We also show how a particular strategy can be used to approximate the system outputs...
The full speed range stabilizing control of interior permanent magnet synchronous motor(IPMSM)for electric vehicles based on Port-Controlled Hamiltonian(PCH)theory is proposed in this paper. First, the Hamiltonian stabilizing control of IPMSM is realized using energy-shaping method of interconnection and damping assignment. Then the desired equilibrium is acquired by maximum torque per current(MTPA)...
A novel air-conditioning fuzzy controller based-on semi-tensor product (STP) is applied into a thermal comfort control system, according to difficulty for air conditioning to control indoor thermal comfort. Through STP of matrices, the measured sampling data of indoor temperature and humidity are used to obtain a matrix-based fuzzy relation structure model. Instead of the complex process of logical...
The permanent magnet synchronous motor (PMSM) with high efficiency, high power factor, high control accuracy, high torque inertia, larger speed range and good torque smoothness, and a series of advantages, is playing a very important role in AC servo system. Based on vector control, a PI controller is designed to improve the control performance of permanent magnet synchronous motor. In order to realize...
This paper presents an improved structure for static synchronous compensator (STATCOM) system based on hybrid multilevel H-bridge converter. In the new structure, the chosen of dc capacitor capacitance is considered for every module, which will reduce the dc capacitor capacitance and reduce the cost of the system. A novel system control and dc capacitor voltage balance control strategy is presented...
In this study, a neural network (NN) based dynamic Mach number predictive control was proposed for a wind tunnel Match number control system. The proposed method absorbed in advantages both artificial neural network and model predictive control, for control of strong nonlinear, multiple variables, large lagging, and time-varying system. In this approach, the dynamic of wind tunnel is represented by...
PMSM has been used widely in elevator speed control system. Based on the mathematical model of PMSM and algorithm of inverter (CFPWM, SPWM, SVPWM), PMSM vector control systems are built. By the software of MATLAB/Simulink, the control systems using three inverter methods of CFPWM, SPWM, SVPWM are comparative simulated and analyzed. The results show that the oscillating of torque, speed, and magnetic...
The stability analysis problem is investigated for networked predictive control systems with varying controller gains in this paper. By introducing a new auxiliary variable and analyzing the deep relationship between two consecutive sampling points, the NCS is transformed into a coupled switched system. The sufficient condition guaranteeing the asymptotical stability of the coupled switched system...
The problem of L1-induced performance analysis for continuous positive systems with time-delay is investigated in this paper. At first, we propose a integral method to compute the value of the system L1-induced norm, and the relationship between the transfer function and L1-induced norm of such systems is obtained. Then, the necessary and sufficient condition is given to ensure that such systems are...
Non-fragile robust control problem of a fan system is studied. It is pointed out that this problem of the fan system is really a non-fragile robust performance problem, the problem of the fan control system with both non-fragile robust stability and performance requirements(bandwidth and other performances). It is also suggested that the design of the non-fragile robust performance of the fan system...
In this paper, the design of simulation software and control system for unmanned aerial vehicle (UAV) during aerial refueling is proposed, in which the simulation software is constructed under Microsoft Visual Studio 2010, and control system is designed based on the linear control theory and assumption of relatively small perturbations during the docking. The proposed model has the merits of explicitly...
This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic...
Due to mechanic vibration, multi-frame coupled and gyro random drift and so on, the design and control of the aerial photography stabilized platform is a complicated process. To improve the existing problem of aerial photography stabilized platform, such as the heavy structure, the lacking of adaptability and so on, the small aerial photography stabilized platform is developed. This system consists...
This paper considers the global convergence of a class of nonlinear dynamical networks, and the subsystems are discrete time pendulum-like systems. Different from most of the existing results, two kinds of interconnections are considered in view of the fact that the subsystems of networks may have more than one kind of interconnection between each other. The Kalman-Yakubovich-Popov (KYP) lemma and...
Extreme Learning Machine (ELM), recently developed by Huang et al., has been demonstrating an exciting learning algorithm for Single hidden Layer Feedback Neural Networks (SLFN). In this paper, the ELM has been introduced to approximate the unknown functions, which may not be parameterized and so make it impossible to develop an adaptive controller. Besides, the Nussbaum-type gain method is also incorporated...
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