This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia an...
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This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia and friction. So it is difficult to ensure robust performance and high accuracy for motion control. The digital adaptive control system presented here is considered to overcome the above stated problem. Experimental results from a feed drive system demonstrate the effectiveness of the proposed control scheme.
The control and optimization of biotechnological processes is a complex task of industrial relevance, due to the growing importance attached to biotechnology. Therefore, there is an increasing use of intelligent data ...
The control and optimization of biotechnological processes is a complex task of industrial relevance, due to the growing importance attached to biotechnology. Therefore, there is an increasing use of intelligent data analysis methods for the development and optimization of bioprocess modelling and control. Since a clear understanding of the underlying physics does not exist, nonlinear learning systems, which can accurately model exemplar data sets and explain their behaviour to the designer, are an attractive approach. This paper investigates applying neurofuzzy construction algorithms to this problem and in particular compares a genetic programming structuring approach with a more conventional forwards inductive learning-type algorithm. It is shown that for simple problems, the inductive learning technique generally outperforms the genetic programming, although for large complex problems, the latter may prove beneficial.
Many researches for linear parameter varying systems focus on the approach using a parameter-dependent Lyapunov function. Analysis and controller design for linear parameter varying systems are characterized by parame...
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Many researches for linear parameter varying systems focus on the approach using a parameter-dependent Lyapunov function. Analysis and controller design for linear parameter varying systems are characterized by parameter-dependent linear matrix inequalities (LMIs). We propose an approach to solving parameter-dependent LMI conditions based on a finite number of LMI conditions. The proposed method does not require any particular assumptions on the parameter dependence except continuity. We consider a class of linear parameter varying systems and apply the proposed technique to analysis of their L/sup 2/ gain. Finally we demonstrate its efficacy by a numerical case study.
The generation of rule-bases in conventional fuzzy logic controllers can be a difficult and time consuming problem for implementation by process operators thus affecting their wider applicability. A Self-Learning Fuzz...
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The generation of rule-bases in conventional fuzzy logic controllers can be a difficult and time consuming problem for implementation by process operators thus affecting their wider applicability. A Self-Learning Fuzzy Logic control (SLFLC) offers a possible solution. A performance study is therefore presented to evaluate the performance of a proposed SLFLC by analysing its transient performance for a variety of on-line tests and examining its ability to generate a consistent set of rules, based on a predetermined criteria. The results presented show that even with a limited knowledge of the process, the self-learning procedure is able to develop a suitable set of rules and produce a satisfactory process performance with some degree of robustness and repeatability when applied to a non-linear single-input single-output (SISO) or multi-input multi-output (MIMO) laboratory liquid-level processes.
Equipment on-board satellites is often mounted on lightweight panels where microvibrations have to be suppressed to achieve the required level of stability. In the work reported here, attention is restricted to one su...
Equipment on-board satellites is often mounted on lightweight panels where microvibrations have to be suppressed to achieve the required level of stability. In the work reported here, attention is restricted to one such mass loaded panel which is an acceptable compromise between problem complexity and the need to gain useful insights as to the benefits (and limitations) of linear active control schemes. The sensors and actuators for the active control scheme to be designed (and eventually implemented) are twin patches of piezoelectric material bonded onto opposite faces of the panel. The use of linear optimal control laws augmented by loop transfer recovery is investigated.
The paper focuses on the speed control of stepping motors in a closed-loop configuration. An incremental optical encoder is used as the position transducer, allowing the achievement of a minor loop. The numerical cont...
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The paper focuses on the speed control of stepping motors in a closed-loop configuration. An incremental optical encoder is used as the position transducer, allowing the achievement of a minor loop. The numerical control algorithm is implemented using an IBM PC together with a specialized interface for stepper motors. The solution was obtained in two steps: the first was a nonlinear control law and the second was the improvement of the first one by using a PI part.
作者：
Gheorghe BãluṭăŞtefan ResmeriṭăGheorghe Bäluṭă
“Gh. Asachi” Technical University of Iasi Faculty of Electrical Engineering Electric Drives and Power Electronics Department Str. Horia No. 7-9 6600 Iasi Romania tel.032/112770 Ştefan Resmeriṭà
“Gh. Asachi” Technical University of Iasi Faculty of Automatic Control and Computer Engineering Department of Automatic Control and Industrial Informatics Str. Horia No. 7-9 6600 Iasi Romania tel. 032/116502 tuiasi.ro
This paper presents a method for Stepper Motor (SM) speed control by means of a minor loop. The compatibility of the SM with the digital electronics allowed a PC to be used for implementing the control algorithm, the ...
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This paper presents a method for Stepper Motor (SM) speed control by means of a minor loop. The compatibility of the SM with the digital electronics allowed a PC to be used for implementing the control algorithm, the SM control being achieved by two hardware interface levels. The SM command is realized with two specialized circuits: L297 (SM controller) and L298N (driver). The control signals for this level are generated through a parallel port 18255 and a programmable timer 18253. Some other circuits complete the microprocessor interface. The software has the following tasks: speed measurement and control algorithm achievement of a PI type. To tune this controller the system characteristics are measured, when the system is unstable, having a relay instead of the PI part. There are treated aspects on choosing the sample period, the position transducer, and the type of speed measurement.
The principal objective of this paper is to report on the development of a framework for intelligent modelling aimed at the formulation of models for science and engineering systems. After an introduction of the featu...
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The principal objective of this paper is to report on the development of a framework for intelligent modelling aimed at the formulation of models for science and engineering systems. After an introduction of the features of modelling, three aspects and three basic steps of particular relevance to the modelling framework are indicated. In particular, the knowledge structure of modelling will be considered in the context of both the modelling process and the functionality of system representation. The main body of the paper is concerned with describing the object-oriented information model for modelling which will form the heart of the knowledge-based system together with remarks on aspects of its usability.
This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method de...
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This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method described are discussed. Simulations have been carried out to demonstrate the effectiveness of the new method, and the results are compared with a classical PID controller to show the improvement in performance.
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