Abstract
The possibility of introducing PIDD2 controllers into adaptive automatic control systems using the proposed algorithm for finding the optimum adjusting parameters of the specified controller is considered. The carried out analysis of the structural implementation of the PIDD2 controller and the estimation of the filter time constants of the first and second order differentiation units made it possible to formulate the structure of the PIDD2 controller-based adaptive automatic control system. The proposed algorithm for finding the optimum adjusting parameters of the PIDD2 controller consists in a purposeful procedure for finding the optimal point with the maximum value of the transfer factor of the controller in the parameter space, taking into account the preset stability margin. In determining the steps of the algorithm, the structural and parametric optimization of the filters of the differentiation links is performed, which make it possible to reduce the problem only to the search for adjusting parameters of the controller. The work of the proposed algorithm is illustrated by the example of an automatic control system, where the mathematical model of the heat exchanger unit of the fuel combustion engine of the internal combustion engine is the controlled object. Analysis of transient processes and frequency responce of the simulated system shows the qualitative superiority of the adaptive automatic control system with the optimally tuned PIDD2 controller over the conventional automatic system with a PID controller. The versatility of the algorithm and the ability to periodically adjust the adjustments of the controller are also noted.
Highlights
Factors that have the greatest impact on fuel consumption are: the state of weather conditions and the direction of currents, the laying of optimal routes for ships, and maintaining a constant output power when operating marine internal combustion engines (MICE)
The real automatic adjusting systems (AAS) is presented in the form of an imitation model that includes a control object with additive random noise and a PIDD2 controller with real differentiation
The transfer function of the control object [24], where the use of the PIDD2 controller provides a noticeable effect on speed and transient response, looks like: (2017), «EUREKA: Physics and Engineering» Number 5 ( ) W0 (s) = K0 ⋅
Summary
Factors that have the greatest impact on fuel consumption are: the state of weather conditions and the direction of currents, the laying of optimal routes for ships, and maintaining a constant output power when operating marine internal combustion engines (MICE). Studies [1] prove that the minimum fuel consumption is achieved to a greater extent by maintaining a constant output power of the MICE, and deviation from this criterion leads to overconsumption It is known [2], the parameters that make the greatest impact on the MICE efficiency are the temperature and pressure of the coolant, the temperature and pressure of the lubricaiting oil and the temperature and pressure of the fuel in the fuel line of the engine. When analyzing the existing studies in the field of automatic control of the MICE fuel preparation, it is concluded that the main direction of automation of these systems is maintaining the fuel viscosity within wide limits without taking into account the wave-like changes in the temperature of the energy carrier [3].
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