摘要 :
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main co...
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With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main content of this article refer to Analog PID, Positional PID, Incremental PID and Feed forward Compensation PID, introducting their principles and their model analysis, and giving their algorithm simulation results.
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摘要 :
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main co...
展开
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main content of this article refer to Analog PID, Positional PID, Incremental PID and Feed forward Compensation PID, introducting their principles and their model analysis, and giving their algorithm simulation results.
收起
摘要 :
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main co...
展开
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main content of this article refer to Analog PID, Positional PID, Incremental PID and Feedforward Compensation PID, introducting their principles and their model analysis, and giving their algorithm simulation results.
收起
摘要 :
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main co...
展开
With its simple structure, good stability, reliable, easy to adjust, PID control is becoming one of the important technical of the process control field, and its study has been the focus of the field of motion control. The main content of this article refer to Analog PID, Positional PID, Incremental PID and Feedforward Compensation PID, introducting their principles and their model analysis, and giving their algorithm simulation results.
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摘要 :
This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete different...
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This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete differential PID algorithm and PID algorithm with dead zone. The experiment results show that different digital PID control algorithm could achieve different using.
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摘要 :
This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete different...
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This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete differential PID algorithm and PID algorithm with dead zone. The experiment results show that different digital PID control algorithm could achieve different using.
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摘要 :
In this paper, a new design method of adaptive PID controller is proposed. The method utilizes the characteristics of almost strict positive realness (ASPR) of the plant so that the stability of the adaptive PID control system is ...
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In this paper, a new design method of adaptive PID controller is proposed. The method utilizes the characteristics of almost strict positive realness (ASPR) of the plant so that the stability of the adaptive PID control system is guaranteed by the use of K-Y lemma and Lyapunov's stability theorem. An application of the proposed design concept to a practical design of tracking PID control system is also discussed. Usually the ASPRness of the controlled plant is attained by introducing an auxiliary subsystem called parallel feedforward compensator (PFC). Up to this time, the design of above-stated PFC has contained a very troublesome procedure. To improve such a situation, a very simple and effective PFC design method is proposed here. The effectiveness and robustness of the proposed method is examined through simulations by comparing it with other conventional PID controller parameter tuning rules based on the first order with time delay process model.
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摘要 :
This paper is introducing new categories for PID tuning methods. In this category most recent PID tuning techniques are considered entitle of PSD optimal PID control signal matching group. The paper is concerned with the design of...
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This paper is introducing new categories for PID tuning methods. In this category most recent PID tuning techniques are considered entitle of PSD optimal PID control signal matching group. The paper is concerned with the design of predictive PID controllers, which is an optimal PID control signal-matching method. The predictive PID controller, which has similar features to the model-based predictive controller (MPC) is described. A PID type control structure is defined which includes prediction of the outputs and the recalculation of new set points using the future set point data. The optimal values of the PID gains are calculated using the values of gains calculated from an unconstrained generalised predictive control algorithm. Simulation studies demonstrate the performance of the proposed controller and the results are compared with conventional PID and generalized predictive control solutions.
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