Extending the Method for Development of Double-Loop Continuous Tracking Systems to Discrete Equivalents

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Solutions to increase the accuracy of radio systems are analyzed. It is shown that invariance in a single-loop automatic control system affects its stability. Article [13] offers to apply a method for the synthesis of continuous high precision double-loop automatic control systems which are equivalent to combined systems in conditions when some values (entry useful action) can't be measured for development of tracking systems (in particular, radio systems, where the entry useful action can't be measured, and therefore combined control is impossible). The article considers extension of the method for the synthesis of double-loop automatic control systems to discrete systems equivalent to combined systems in an environment with simultaneous entry useful (preset) action and external disturbances and interferences. The developed method makes it possible to synthesize discrete high-precision automatic control tracking systems equivalent to combined ones in an environment with a controlled variable (entry useful action) which cannot be measured. A discrete transfer function from an error in double-loop system (5), an invariance condition (6), and a characteristic equation (8) are obtained. In this case, the numerator polynomial of the transfer function from error must have a difference of polynomials. The article demonstrates that invariance conditions (improved accuracy) can be achieved without any destabilization in the first loop. In this discrete tracking system equivalence to combined systems is achieved by two control loops and not by three loops as in the differential coupling method. A double-loop discrete automatic control system equivalent to a combined system was synthesized. A stochastic regulator was calculated and made, and the influence of this regulator on the astatism of the system (that is, on its accuracy) was analyzed. The proposed method can be used to develop discrete tracking systems (especially radio systems, where entry useful action cannot be measured due to interference), and it can be applied for laser radar tracking systems, and control systems for aircraft of various purposes.

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Context. In combined automatic control systems (ACS) with the principle of control by disturbance, there are difficulties in controlling disturbances in some objects of radio engineering systems and somewhat lower accuracy. This is especially noticeable when the object is affected by several equal disturbances. Taking them into account requires increasing the complexity and reducing the reliability of the ACS. And neglect sharply reduces the accuracy of the system. Therefore, there is a need to develop a method of synthesis of radio technical tracking systems that eliminates the indicated shortcomings.
 Objective. The article presents a synthesis method for high precision radio tracking systems, which are equivalent to combined systems with split control and filtering procedures when the entry useful (preset) action, which is not measured and external disturbances and interferences are present simultaneously.
 Method. Methods of automatic control theory were used to achieve the goal of the research.
 Results. It has been demonstrated that there is a conflict between the conditions for split synthesis of the evaluation (smoothing) filter and the control filter (regulator) in automatic tracking control systems operating with deviation.
 The article offers a solution to the problem of control and evaluation in the framework of two-circuit systems, which are equivalent to combined systems. The second circuit can be presented as a product of a reverse transfer function with an error in the first circuit to the transfer function of Controller, which has a positive feedback from the operator, as well as the reverse transfer function of the control object without integrating links. It is proposed to use for evaluation an evaluation filter with closed filter transfer function instead of an open regulator.
 The characteristic polynomial of a two-circuit automatic control system (ACS) excludes the influence of the stable second-circuit evaluation filter on the stability of the entire ACS. The polynomial of the numerator of the transfer function must have the difference of polynomials by error, which ensures the achievement of invariance.
 A double-circuit ACS is equivalent to a combined one, since it provides the following: invariance of the error with respect to the preset action without directly measuring it; stability of the first circuit with a stable second circuit.
 The synthesized double-circuit ACS is equivalent to a combined one. The author has calculated and constructed the evaluation filter, the influence of this filter on ACS astatism (i. e., on its accuracy) has been analyzed.
 Conclusions. The scientific novelty of the developed method of synthesis of high-precision automatic tracking systems with separate control and filtering procedures in conditions where the controlled value is not measured in the presence of disturbances is as follows. Equivalence to combined systems, in contrast to the methods of differential connections, is achieved not by three, but by two control loops. The practical significance lies in the fact that the proposed method is advisable to use for the construction of surveillance radio engineering systems, where the input useful effect is not measured in the presence of external influences and disturbances. In aircraft control systems.

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Advanced Automatic Control and Fault Detection systems are being developed for Navy Submarines and Surface Ships. Within this context a critical concern is the vehicle automatic control system response to the environment, damage that may significantly degrade the vehicle performance, as well as unexpected sensor, actuator, or control surface failures. Such an occurrence may well lead to an automatic control system response that is either inadequate or inappropriate given the current state of the vehicle. In order to maintain mission effectiveness, changes in the vehicle dynamics, as well as component failures must be rapidly detected and recovery actions must be promptly initiated within the automatic control loop. The overall system consists of combining three state-of-the-art techniques—Robust/Reconfigurable Control, Recursive Neural Networks (RNNs), and Fault Detection and Isolation (FDI) algorithms—into a real-time system that provides vehicle monitoring, fault detection, and automatic control of the vehicle from within the executive control loop. The combination of these technologies provides an innovative approach for the identification of both discrete and continuous failures, for differentiating between component failure and environmental influences, and for incorporating model-based fault protection into the autonomous control loop. The current paper describes the use of the RNNs as Virtual Sensors (VS) to provide real-time analytic redundancy of the sensor readings provided to the automatic control system. Since sensor failures will feed directly into the automatic control system, it is critical to check and verify the sensor readings prior to utilization in the automatic control loop since all subsequent commands are predicated on the assumption that the sensed information is correct. As such, a virtual sensor system has been developed which provides complete analytic redundancy of the sensor measurements utilized by the automatic control system. Each sensor reading is checked against real-time simulation predictions of the “true” sensor values and a decision is made as to the validity of the measurement. The sensed values are then either passed on as correct or flagged as being in error and a Virtual Sensor estimate of the “true” sensor reading values are provided to the automatic control system. The results show that the typical sensor failure modes, sensor drift, sensor lock-up, sensor drop-out, sensor data spikes, and sensor noise can be detected and corrected analytically using this approach with zero false positives. A key requirement in developing this system was the capability to avoid reporting false positives, sensor problems, when none actually existed. These real-time systems for Advanced Control and Monitoring can mean the difference between safe, continued operation and potentially catastrophic failures.

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Purpose: To select an automatic speed control system of an electric train. To estimate the speed measurement error effects on the traction drive dynamics. To justify the selection and application of the low-pass filter, particularly Butterworth filter. To determine a set of quality criteria for an electric train speed control. To solve the problem of parametric synthesis of automatic speed control system. Methods: Simulation modelling, automatic control theory, optimizations. Results: Negative influence of speed measurement errors on the formation of the traction force control signal and, consequently, on the transient process in the traction drive has been established. As a result of solving the problem of the system parametric synthesis, proportionalintegral rational parameters with mismatch prediction of control law have been determined. The dependence of the value change of the control law parameters on the Butterworth filter order has been established. It has been revealed that with increasing the filter order it is required to increase its cut-off frequency. The inclusion of the Butterworth filter in the structure of the automatic speed control system has been proved to provide smoothing of high-frequency components in the measured speed signal. Practical significance: The structure of the automatic speed control system has been developed taking into account the presence of method error of the measuring device (pulse speed sensor). The simulation results obtained have shown the filters’ efficiency in the control system.

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