Comfortable tools for control system design and evaluation have gained increasing importance as useful aids in academia and industry. The limited nonlinear simulation capabilities of existing control system design pac...
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Comfortable tools for control system design and evaluation have gained increasing importance as useful aids in academia and industry. The limited nonlinear simulation capabilities of existing control system design packages are not sufficient for process and control system simulations. The development of detailed dynamic flowsheet simulators and their integration in a computer-aided design (CAD) environment is required for that purpose. The outline of the general purpose dynamic flowsheet simulator DIVA (Dynamische Simulation verfahrenstechnischer Anlagen), which is currently being developed at Universität Stuttgart is presented below. An illustrative simulation example of a chemical production plant will demonstrate the function and the possibilities offered by the simulator.
The paper presents a hierarchical control structure for real time flood control in a multireservoir system. The aim of the structure is to minimize the flood damages which depend on the peak water levels at the most i...
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The paper presents a hierarchical control structure for real time flood control in a multireservoir system. The aim of the structure is to minimize the flood damages which depend on the peak water levels at the most important locations situated far downstream the reservoirs. Water releases form the individual reservoirs are adjusted by the local operators while the objective of a central authority is to modify local performance functions so as to achieve his overall goals. Due to highly uncertain forecasting of future inflows the decision mechanism of a central dispatcher is based upon fast simulation of the system operation under different flow scenarios. An application of the control structure to a case study multireservoir system is shortly described together with some selected simulation results.
This paper seals with the identification experiments carried out in the recent vears by the L.A.N. (Ship Automation Laboratory) for determining a suitable mathematical model of the ship steering dynamics. Some basic c...
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This paper seals with the identification experiments carried out in the recent vears by the L.A.N. (Ship Automation Laboratory) for determining a suitable mathematical model of the ship steering dynamics. Some basic concepts concerning the mathematical models are discussed, and the experimental methods as well as the results achieved by sea—trials performed on board of two shies with definitely different characteristics are presented. Such results, obtained after analysing a very large member of fall-scale experiments, confirm the adequacy of an A.R.M.A. model for describing the ship steering process.
An organization of the software systems for the flexible manufacturing systems (SS FMS) is discussed. The generalized structure of the SS PI, IS is given. The functions of its subsystems are defined. The SS FMS develo...
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An organization of the software systems for the flexible manufacturing systems (SS FMS) is discussed. The generalized structure of the SS PI, IS is given. The functions of its subsystems are defined. The SS FMS developed nowadays at the Leningrad Politechnic Institute is oriented to the two-level structure of the computercontrol system. The software of the upper level computer solves the problems of the operative production planning and automated equipment operation dispatching. The software of the local control units is the lower level of the SS FMS, The structure of the algorithmic robot control system “Bars”, that is the base for the development of the software for the robotized production cells, transport robots and automated warehouses, is considered, The brief description of the problem-oriented language ROCOL, used for robot programming, is given.
This paper describes the phases of identificatio a multivariable controller for use in an industrial plant, of the important output variables of a grinding circuit is hampered by the interaction between different vari...
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This paper describes the phases of identificatio a multivariable controller for use in an industrial plant, of the important output variables of a grinding circuit is hampered by the interaction between different variables, a generally not possible for these interactions to be elimin tional controllers. A pilot-plant study of a one-stage grinding circuit has sh control of a complex industrial circuit is feasible with a controller designed by the Inverse Nyquist Array method. This conclusion is further supported by a preliminary study carried out on tion of an industrial milling circuit in a gold extraction. The grinding circuit of the industrial plant, which consis mill and two pebble mills with classification by hydrocyclones, was fully instrumented, and a process-controlcomputer was installed. Open-loop tests were carried out on the plant and the resu derivation of a dynamic model in the form of a matrix of transfer fuctions. The model was used to design a multivariable controller for the griding circuit.
Artificial Intelligence (AI) applied to the real-time control of process plants offers the possibility of assisting the operation of those plants. Typically AI can be used to control difficult processes and to monitor...
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Artificial Intelligence (AI) applied to the real-time control of process plants offers the possibility of assisting the operation of those plants. Typically AI can be used to control difficult processes and to monitor the state of the plant and advise the operator accordingly. British Petroleum has recognised the importance of this technology, and has initiated two projects in this field. The first has applied a rule-based controller to a lubricating oil refinery. The second employs an AI system to diagnose problems on a process plant.
Microprocessors are increasingly influencing both the theory and the practice of digital control. This paper briefly reviews the important current developments in microprocessor and related technologies, describes som...
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Microprocessors are increasingly influencing both the theory and the practice of digital control. This paper briefly reviews the important current developments in microprocessor and related technologies, describes some typical microprocessor-based control systems and their applications, and attempts to assess some possible trends in this important area. Although the cost of raw computing power is now extremely low, the costs of system design, development and programming have not fallen by the same extent; this is shown to have a significant bearing on the viability of new control products and on the character of advanced theory which may become usefully employed in a microprocessor-based control system.
The 400/110/10 kV network of the Hamburgisehe Electricitätswerke (HEW) comprising 10 power plants, 61 substations and 6500 transformer kiosks is under on-line control from 5 centres on 3 operational tiers. The ne...
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The 400/110/10 kV network of the Hamburgisehe Electricitätswerke (HEW) comprising 10 power plants, 61 substations and 6500 transformer kiosks is under on-line control from 5 centres on 3 operational tiers. The new computerized system for the 2 lower tiers shows novel features as for workflow organisation in the control rooms, data-amendment and protection. A mimic board was not applied. Due to these conditions, the system was designed from scratch, not using standard application software.
The familiar suboptimal regulator design approach is recast as a constrained optimization problem and incorporated in a CAD package where both design objective and constraints are quadratic cost functions. This formul...
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The familiar suboptimal regulator design approach is recast as a constrained optimization problem and incorporated in a CAD package where both design objective and constraints are quadratic cost functions. This formulation permits the separate consideration of, for example, modelfollowing errors, sensitivity measures and control energy as objectives to be minimized or limits to be observed. Efficient techniques for computing the interrelated cost functions and their gradients are utilized in conjunction with a nonlinear programming algorithm. The effectiveness of the approach and the degree of insight into the problem which it affords is illustrated in a helicopter regulation design example.
Integral control action is identified with the function of state-estimation in separated stochastic control. It follows that the separated controller structure could provide a basis for designing practical sub-optimal...
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Integral control action is identified with the function of state-estimation in separated stochastic control. It follows that the separated controller structure could provide a basis for designing practical sub-optimal controllers which could be implemented using available on-line digital computers. Three case studies are summarised which confirm that separated controllers can reproduce integral action and can lead to substantial improvements in the control of difficult processes. The case studies include practical work on a laboratory-scale water-level control system, and simulation studies in connection with industrial collaborative work on pH control and with clinical collaborative work on feedback control of post-operative pain.
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