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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...
The temperature control system of heat exchanger in district heating is a nonlinear system with strong heat inertia and large time lag. Classical PID control dissatisfies static characteristics and dynamic characteristics of the system during its control process. According to this case, an adaptive fuzzy sliding mode controller is designed based on stability theory of Lyapunov for the system. Simulation...
A sliding mode controller with the adaptive parameters is proposed for a class of uncertain nonlinear systems such that the sliding mode parameter lambda , the approximate sign function parameter mu , the tendency rate k0 and the gain parameter eta be scheduled by the system states. Meanwhile, the obtained systems have the desired stable sliding mode motions with the appropriate parameters lambda...
Polymorphic gates can be considered as a new reconfigurable technology capable of integrating logic functions with sensing in a single compact structure. Polymorphic gates whose logic function can be controlled by the level of the power supply voltage (Vdd) represent a special class of polymorphic gates. A new polymorphic NAND/NOR gate controlled by Vdd is presented. This gate was fabricated and utilized...
In this paper, a novel adaptive robust tracking control scheme for a class of single-degree-of-freedom (1DOF) electrostatic micro-actuator systems with constant parameter uncertainties and external disturbances is addressed. This control method is based on backstepping control technique and Nussbaum gain function. The derived adaptive robust controller guarantees that the closed-loop system is globally...
This paper investigates the problem of global adaptive stabilization by output-feedback for a class of nonlinear systems with uncertain control coefficients and unknown growth rate. By extending the classical K-filters, we introduce novel high-gain K-filters with a dynamic gain updated on-line inspired by [1, 2], and thus propose an observer to reconstruct the system state. Then, motivated by the...
In this paper, adaptive variable structure neural control is presented for a class of uncertain multi-input multi-output (MIMO) nonlinear time-delay systems with unknown nonlinear dead-zones and known gain signs. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. By utilizing the integral-type Lyapunov function and constructing...
In this paper, by using backstepping technique, the adaptive fuzzy dynamic surface control problem is discussed for a class of unknown multivariable nonlinear systems which the control gains are unknown. By the special design scheme, the ldquoexplosion of complexityrdquo problem is avoided. Furthermore, the closed loop signals are guaranteed uniformly ultimate boundedness, and the tracking error arbitrarily...
In this paper, both indirect and direct adaptive fuzzy controllers with variable structure system (VSS) and Hinfin performance are proposed for a class of nonlinear time-delay systems with unknown dynamics nonlinearities and external disturbances. It is assumed that the unknown nonlinear function of state-delays is bounded by a high-order function with unknown gains. An adaptive fuzzy controller design...
This paper studies the gain margins of model reference adaptive control (MRAC)systems: the range of a control gain in a designed adaptive control system, which is sufficient for closed-loop signal boundedness and asymptotic tracking. Analytical results are obtained for four MRAC schemes: direct and indirect, continuous-time and discrete-time, applied to single-input single-output LTI systems. Simulation...
This paper provides a review of adaptive PI control application of a heat exchanger as implemented via distributed control system (DCS). The control scheme is developed by a typical industrial design approach in order to reject disturbance over the whole operating range. The results show that tighter control with less operator attention is achieved.
The paper takes the multi-variable of synchronous system of the AC induction motors as study object, focuses on the system of induction motors powered by current-tract SPWM transducers, establishes the unified model of the system of two motor depends on the alpha, beta static reference frame. It adopts the adaptive PSD controller with multi-variable single neural unit to perform the decoupling control...
This paper addresses adaptive channel estimation for time-varying mobile wireless channels with nonstationary statistics. We presents a reduced complexity adaptive channel estimator based on a set membership filtering approach known as the Optimal Bounding Ellipsoid (OBE) algorithm. To exploit time and frequency domain correlation properties of the channel in an efficient low-complexity way, we allow...
In this paper, robust adaptive neural tracking control is developed for a class of uncertain SISO nonlinear systems in a Brunovsky form with unknown nonlinear dead-zone and unknown control gain & its sign. The design is based on the principle of sliding mode control and the use of Nussbaum-type function in solving the problem of the completely unknown function control gain. A novel description...
We investigate robust decentralized adaptive controller design for interconnected systems. Motivated by real mechanical systems, we consider a general representation of interconnections when the strength of the interconnections is bounded by a pth-order polynomial in states. This is in contrast to other works which have made simpler assumptions about the strength of the interconnections. The possible...
This paper presents an adaptive control scheme for first order systems of the form y + a*y = b*0u + b*1u which may possibly be nonminimum phase. The control scheme achieves asymptotical stabilization without any apriori knowledge on the plant parameters. The adaptive scheme is free from singularities in the sense that the plant estimated model is always controllable. The singularity has been overcome...
Recently it was shown that first-order adaptive regulators can stabilize any linear time-invariant plant whose transfer function has arbitrary relative degree and order and is not necessarily minimum phase, provided that the dominant slow part of the plant is minimum phase and of relative degree one and the parasitic fast part is stable. Both the algorithm and the problem formulated are particular...
The design of an adaptive tracking filter control system and its application to large flexible booster vehicles is described. The problem of elastic vehicle stability is considered along with its solution by conventional and adaptive techniques. The improvement in vehicle stability, which may be achieved with the adaptive tracking filter technique as compared to conventional techniques, is shown....
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