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The dynamic characteristics of missile vary substantially with flight conditions such as flight Mach number, altitude and angle of attack. Therefore, in order to achieve adequate levels of robustness and performance, a controller that also varies during operation has to be designed in missile control. This paper is concerned with the application of advanced mixed linear parameter-varying (LPV)/mu...
Notification service event channel is sensitive to overload. The event channel may become overloaded during temporary traffic peaks when more requests arrive than the event service is designed for. We address the problem from the perspective: control the number of events entering the system to guarantee the performance. First, design the fuzzy-smith controller for the system. Fuzzy-smith control,...
The goal of this paper is to control PMSM (permanent magnet synchronous motor) with PCH (port-controlled Hamiltonian) theory. PCH is a kind of nonlinear control method. Energy-shaping approach is the essence of passivity-based control. With the definition of generalized passive Hamiltonian system, the PCH structure of permanent magnet synchronous motor was given. By using the MTPA (maximum torque...
A fuzzy-predictive control strategy based on T-S fuzzy model is proposed by combining fuzzy control and state feedback predictive control. State feedback model predictive controller is developed for each subsystem of T-S fuzzy model. In terms of fuzzy-control theory, each subsystem's control law and membership function can be used to synthetically calculate the whole control system's control law,...
In this paper fault happening for control valves in a power plant is considered. The method is implemented for boiler feed water valve and is extendable to boiler fuel valve and governor valve. Fault kind and location is determined using measurement of boiler state variables. In spite of robust controller design, it may be unable to handle these faults and restricts their effects. A fuzzy compensator...
The paper presents a novel design methodology for an intelligent controller based on a database capable of self-study and auto-control. The motivation stems from making a smart database analogous to human brain, namely, a dummy brain database (DBD). The data stored in the DBD may be collected from a plant/system at present, recent past and/or over a period of time in the past, i.e. the historical...
This paper is concerned with the problem of designing a robust L 2-Linfin filter for a class of uncertain systems subject to error variance and circular pole constraints. Specifically, we aim to design a filter such that the L2-Linfin norm of the filtering error-transfer function is not less than a given upper bound, while the poles of the filtering matrix are assigned within a prespecified circular...
This paper deals with the problem of guaranteed cost control for uncertain stochastic systems with state and input-delays. Attention is focused on the design of a state feedback controller such that the resulting closed-loop system is mean-square asymptotically stable and guarantees that a given quadratic cost function has an upper bound. In terms of a linear matrix inequality (LMI), a sufficient...
In this paper, the problem of output feedback control of discrete systems with time-varying delay is presented. A new method is proposed to design static feedback controller for systems with time-varying delays. The resulted closed-loop systems are switching systems, then the static control gain can be obtained based on linear matrix inequality (LMI). Furthermore, the results can be extended to design...
In this paper, a direct adaptive fuzzy backstepping control approach for a class of unknown nonlinear systems is developed. By a special design scheme, the controller singularity problems is avoided perfectly in this approach. Furthermore, the closed-loop signals are guaranteed to be semiglobally uniformly ultimately bounded and the outputs of the system are proved to be converge to a small neighborhood...
GPC (generalized predictive control) is widely used in the control of plant with inertia and delay. This paper proposes feed-forward and feedback GPC in the control of MIMO system. The coupling is treated as knowable exterior disturbance and considered during the designing process of GPC controllers. With structure analysis, the new controller is equivalent to feed-forward and feedback control system...
The primary idea of fuzzy control is to employ the knowledge of experts to control a plant instead of the algorithm derived from the mathematical model of the plant. In this paper, we consider a few cases to show how to develop a real fuzzy control system with stability in which it persistently maintains the fuzzy rules in accordance with experts' views
In this paper, the control issues of longitudinal flight dynamics is presented. System controllability with respect to the variation of the elevator deflection angle is first discussed. Stabilization controllers using washout filter-aided feedback control law is then proposed. Case study for F-8 aircraft is explicitly derived for constructing a feasible set of controllers. Numerical simulations for...
In order to measure the uncertainty of the stochastic systems subjected to arbitrary noise disturbance instead of Gaussian white noise, the minimum entropy control of tracking errors for dynamic stochastic systems is presented in this paper. Different from conventional hypothesis, it is assumed that the system output and noise obey multi-to-one mapping, which is more general in the practical application...
There are many uncertainties in real dynamics system of reconfigurable manipulator that makes PID etc. traditional methods control imprecisely. Thus, in this paper, to enhance computed torque control (CTC) based method, robust neural networks (RNN) compensating control scheme is developed to compensate structured and unstructured uncertainties. The controller for a RRP reconfigurable manipulator is...
In order to improve the start performance of electrical vehicles, a new method used to track the initial rotor position is proposed. This method is based on the high-frequency (HF) voltage model and the software phase locked loop (PLL). After HF voltage signal is injected into motor, the initial rotor position signal is modulated by high-frequency carrier wave, and then a PLL is adopted to track the...
In this paper, we examine the parametrization of all stabilizing modified Smith predictors for certain class of non-minimum phase time-delay plants. The modified Smith predictor is well known as an effective time-delay compensator for a plant with large time-delay. Several papers on the modified Smith predictor have been published. In order to express the past studies of modified Smith predictor in...
When multiple parameters jump simultaneously, a multiple models adaptive decoupling controller using dimension-by-dimension technology is presented to solve the problems such as too many models, long computing time and so on. To find the optimal parameter, it adopts one-dimension optimization method in series instead of multiple-dimension optimization method in parallel. At any time only one parameter...
In this paper, based on a designed vibration isolation system with magnetorheological (MR) damper, a schematic illustration for digital implementation of the on-off control strategies is presented, and the effect of the sampling is assessed. Simulations show that the performance of the controlled system is highly influenced by the sampling interval. From this point of view, a method for synthesizing...
For packet-based transmission of data over a network, or temporary sensor failure, etc., data samples may be missing in the measured signals. The missing measurements will happen at any sample time, and the probability of the occurrence of missing data was assumed to be known. The series which fulfils Bernoulli distribution was used to describe the missing measurements. Based on the Takagi-Sugeno...
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