Traditional PID Regulator Research Articles

Examination of the Perspective Regulator of Civil Quad-Rotor UAV Relay on F-PID Controller

In the operation of farming processes, the limitation of the civilian quadrotor UAV transport and the features of its powerful collar would yield more significant interference to the aviation control version. Mainly utilize traditional PID regulator, but the mood adjustment of the murmur will have a big overshoot. This article sets on the application of fuzzy controllers in courteous four-rotor UAVs for this case. By creating and improving the fuzzy rule tableland, rather than changing PID parameters often back. Additional sound control of energy outcome to support system steady-state implementation. By utilizing MATLAB to imitate flying perspective and compare with the simulation effects of the traditional algorithm of PID control. The outcomes numerical results indicate that the process may enhance PID capability and decrease the fluctuation of aviation perspective control throughout process.

Active Control Method for Torsional Vibration of DFIG Drive Chain Under Asymmetric Power Grid Fault

When the asymmetric fault occurs in power grid, it will cause the oscillation of the electromagnetic torque of the doubly-fed induction generator(DFIG). The oscillation of the electromagnetic torque will cause the torsional vibration of the drive chain, and the long-term torsional vibration will shorten the service life of DFIG. The analysis shows that the positive and negative sequence current components generated by DFIG terminals are the main factors that cause electromagnetic torque oscillation when the asymmetric faults occur. Therefore, the suppression of positive and negative sequence current components is the key to achieve active control of torsional vibration of drive chain, the traditional PID control can only adjust the direct-current(DC) component without static error, and cannot suppress the negative sequence alternating-current(AC) component. In this paper, based on the traditional PID regulator, the resonance(R) current regulator with the specific frequency is incorporated into the grid-side converter(GSC) to form the PID-R current controller. The PID-R current controller can realize accurate and effective control of the positive and negative sequence components in the forward rotation synchronous speed rotating coordinate system without decomposing the positive and negative sequence components, and can actively suppress the electromagnetic torque oscillation, thereby realize the active control of the drive chain torsional vibration. MATLAB/Simulink verifies the effectiveness of PID-R current controller.

Study of an Improved Fuzzy Direct Torque Control of Induction Motor

The conventional direct torque control will inevitably produce torque ripple because of its way of flux estimates. For the purpose of handling this problem, a new control strategy was presented in this paper. This strategy combined subdivides control with voltage vector and fuzzy logic control in traditional direct torque control. In this model, the fuzzy logic combined the phase angle of the flux, the flux error and torque error as fuzzy variables and classified these fuzzy variables, in order to optimize the choice of voltage space vector, and the same time the traditional PID regulator is replaced by a fuzzy regulator. Simulation results show that, a great improvement torque responses , a great reduction of torque ripples is achieved and the strategy has a better dynamic and steady performance, especially in low-speed area.

Research on Pressurizer Water Level Control in Nuclear Reactor Based on Active Disturbances Rejection Controller

Active Disturbances Rejection Controller (ADRC) is applied to pressurizer (PZR) water level control system. Pressurizer is very important to the safety and the economic operation of nuclear power plant, and is a highly complex, nonlinear, and time-varying system. A traditional PID regulator is usually adopted to control water level of pressurizer in majority reactors. But there are large overshoot and low stability, and the control effect is not ideal. In order to obtain satisfactory control effects, ADRC is introduced to the water level control of pressurizer in this paper. This nonlinear control strategy is appropriate for the subject which has the characteristics of large-delay and multi-disturbance. The simulink results illustrate that the improvements are significant for its little overshoot, better stability, advanced anti-interference and strong robustness. Therefore, this new method based on ADRC is feasible and effective.

Research on Pressurizer Pressure Control System Based on BP Neural Network Control of Self-Adjusted PID Parameters

The pressurizer is an important device in nuclear reactor system, and the traditional PID regulator is usually used to control pressure system of pressurizer in modern reactors. However, it is difficult to get precise parameters of traditional PID controller, and the PID control method is relied on the precise mathematical model badly. And the response of PID controller is often shown by the large amount of overshoot and long setting time which are not the desired results. For such a large inertia and complex time-varying control system, the tradition PID controller can not obtain the satisfy control results. A controller based on BP neural network in this paper has a simple structure, and the parameters of PID controller can be tuned on-line by the neural network self-learning characteristics. The computer simulation experiment demonstrates that the BP neural network PID controller performs very well when compared with the tradition PID regulator in minimal overshoot and more quick response.

The Design of Flying-Sawing Machine Control System Based on Fuzzy Control

The traditional PID regulator can get a satisfactory control effect in many situations. But because of the welded pipe servo cutting system characteristics with not fixed the parameter, variable, strong nonlinear and coupling complex, it is difficult to obtain ideal response in different time, and it is also hard to adapt changes in the environment and the uncertainty of the system. In allusion to the defect of the traditional PID regulator in the welded pipe cutting machine, it is put forward the parameter self-setting fuzzy PID adjustment method and a kind of fuzzy reasoning control rule in this paper. According to the rule, a welded pipe cutting machine control system mathematical model is established and numerical simulation of tailing after the given order jump curve in adaptive fuzzy PID regulator is finished. The simulation results show that: the system response speed is faster than before, the system adjusting precision and stability become well. All of this is hard to realize from traditional PID.