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This paper focuses on developing a hardware-in-the-loop (HIL) system for a boiler-turbine process, employing decoupled adaptive control based on gain scheduling technique. The used model is a 3 × 3 non-linear strongly coupled system adapted to fit a real thermal power plant of 16 MW. The main purpose of this work lies in implementing, comparing and validating the proposed HIL method over classic simulation...
Multi-agent systems are ubiquitous in the world. Recently, multi-agent systems have received increasing attention from mathematics, physics, engineering sciences, and social science communities. This paper firstly introduces several fundamental concepts and then reviews several representative models of multi-agent systems, including the Boids model, Vicsek model, Couzin-Levin model and its invariants,...
This paper introduces the algorithm of the analog controller design by example of Multi-Inertial-Feature System according to the requirement of the Fastest-Response control. This algorithm identifies the parameters of the multi-order system by LSM with the output and input data firstly; then it calculates the Fastest-Response data according to the multi-order system's feature; finally, the data of...
A variable structure neural network control (VSNNC) is proposed for a class of uncertain nonlinear SISO systems, in which neural network is used as an estimator for the system unknown nonlinear functions. And variable structure control strategy is improved by adding the continuous function item to control input. It can adjust discontinuous item in control variable adaptively according to the distance...
This paper introduces the historical development and application prospect of model-free control theory. Model-free control is a non-classical method, which has replaced the traditional design of PID and controller pattern. Through unity of modeling and feedback control, the controller can be put into operation directly, but the controller design, process identification and quantity knowledge are operated...
Based on variable region control theory, a LMS (Least Mean Square) adaptive filtering algorithm with variable step-size is presented in this paper. In this algorithm, the step-size keeps changing with the variation of relational region. It is essential to balance the three main control performance indexes which include initial convergent speed, time-varying system tracking ability and convergence...
With the study on the constructive method of generic functional link artificial neural network(FLANN), a novel constructive method based on the least squares support vector machines (LS-SVM) is proposed and applied to building the nonlinear object model and inverse model. The nonlinear system identification technology of this method is applied to the adaptive inverse control to increase the self-adaptability...
There are a lot of dead zone in many controlled systems. Different from other non-linear characteristics, dead zone has its special non-linear characteristics, which needs compensation measures in order to achieve the desired effect. By analysis of dead-zone non-linear characteristics, multi-joint robot models, and control simulation of two-joint robots, this paper is aimed to design fuzzy compensator...
Based on three vibrating acceleration signals, using BP neutral network, the noise signal at the driver's right ear is predicted as reference signal. Applying the adaptive filter, a single channel, feed-forward, self-adaptive controller, as well as an online secondary path model is established and simulated in MATLAB/Simulink. Both the primary signal and the residual signal are exported to the workspace...
Precise control of neural circuits via microstimulation is an indispensable but challenging objective in neuro-engineering. The effect of electrical stimulation is imprecise and has a spatio-temporal blurring. At the neuron level, the effects are obfuscated by the complexity of neural dynamics. This paper proposes an online multiple-input-multiple-output (MIMO) adaptive inverse controller for somatosensory...
In this paper an adaptive control of Web QoS based on online identification is designed and implemented which dynamically adjust parameters of proportional-integral (PI) controller according to the changes of system model. In order to achieve admission control a session-based admission time-ratio feedback control mechanism is introduced which manages the amount of requests that the server can accept...
Designed and implemented in the 1980's, the Advanced Multi-Mission Operations System (AMMOS) was a breakthrough for deep-space NASA missions, enabling significant reductions in the cost and risk of implementing ground systems. By designing a framework for use across multiple missions and adaptability to specific mission needs, AMMOS developers created a set of applications that have operated dozens...
In this paper, A model reference adaptive compound control algorithm is proposed for the test turntable system with unknown or slowly time-variant parameters. The combination of the general classical feedback correction and the adaptive feedforward compensation can ensure that the test turntable system always gets good performance of the output tracking the input and retains the capability of disturbances...
Current generation of industrial MPC technology has two main disadvantages: 1) it is very costly to implement and to maintain an MPC system; 2) the performance in disturbance reduction is low. To solve these two problems, an adaptive MPC technology is introduced. It consists of three modules, a Control Module, an Identification Module and a Monitor Module. It can perform various steps of an MPC project...
Loom warp tension had a significant impact on the quality of fabric. In order to better control warp tension of rapier loom and prevent negative impacts on the quality of the fabric by reason of the excessive fluctuation. This paper took let-off system of SAURER400 rapier loom as experimental subject and adopted the simulation system of MATLAB to check up the advantage and disadvantage of three kinds...
Much attention has been paid recently to control-theoretic research on what is called feedback error learning (FEL). This paper provides yet another FEL control scheme, which generalizes existing ones in two points: i) It can treat a plant which is the product of known and unknown transfer matrices, and thereby reduces the number of parameters to be learned. ii) The response model is less restrictive,...
In this paper different approach of adaptation mechanism for fuzzy model reference learning control (FMRLC) method will be introduced. In contrast to original method the proposed procedure guarantees continuity of the fuzzy controller that in reward results in its smooth input-output behaviour (mapping) that eliminates undesirable abrupt changes in the control signal. Additionally, the proposed method...
In order to overcome the shortcomings of the nonlinear, time-delay and time-varying problems in the sewage treatment system based on biological fluidized bed (BFB), a modified T-S model fuzzy adaptive control system based on genetic algorithm (GA) is proposed. In the system, firstly using GA to optimize the membership functions, then reducing the dimension of fuzzy controller and simplifying the rules...
The real time tracking control of the rolling mill hydraulic position servo system is challenging due to the difficulty in obtaining an accurate mathematical model and the fact that different sources of uncertainties exist in the adjustment process. This paper presents a new real time inverse control scheme based on the adaptive PSO-IIR filters for this hydraulic APC process. The IIR filter, whose...
Model-based test is the very useful method to verify software safety. But the traditional technology of model-based test is not suitable for safety test of safety-critical software system. This paper addresses a new approach to perform safety test of safety-critical system based on safety automaton model, which can express safety properties. By using the method, we have developed an automatic testing...
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