PID Regulator Research Articles

Design of Control System of PMSM Based on STM32

This paper designs a permanent magnet synchronous motor controller based on STM32. The space vector control algorithm is introduced. The space vector control algorithm and SVPWM are realized based on STM32. The speed and current loop PID regulator can make the accurate control of permanent magnet synchronous motor. This paper presents the hardware and software design of the control system and software architecture. The result shows that the controller design is feasible and it can be widely applied to various CNS.

Constant Pressure Water Supply System Based on Fuzzy Control Technology

This paper explains and demonstrates how to construct a constant pressure water supply system with an integrated intelligent inverter controller (CPS-20B type) based on fuzzy control. This system can automatically adjust the mode of operation in accordance with different working conditons. The controller can choose the number of working pumps and change the motor speed to achieve constant pressure water supply. The PID regulator is set in the CPS-20B1 controller to adjust the output of the inverter, and the automatic regulating system is formed into a closed loop. The simulation results and practical application show that this system used in the water supply network can keep the water pressure stable. This system has been used in a number of industrial and civil water supply service since 2009, which improved efficiency and saved cost.

Integrated PID-Based Sliding Mode State Estimation and Control for Piezoelectric Actuators

Tracking control of piezoelectric actuators (PEAs) has stimulated the development of various advanced control schemes that utilize the feedback of PEA system states for improved control performance. Among them, the one based on the concept of sliding mode has been shown promising due to its robustness to matched uncertainties, but leaving the required state estimation to be desired. Previous studies show that the PEA can be modeled as a linear dynamic system with matched uncertainties. On this basis, this paper presents the development of a novel observer based on the concept of proportional-integral-derivative-based (PID-based) sliding mode, in which the switching function is replaced by a PID regulator. The novel observer, referred to as the PID-based sliding mode observer (PIDSMO), relaxes the observer matching condition as required in the use of the unknown-input observers. The PIDSMO is then integrated with the PID-based sliding mode controller (PIDSMC) to form a novel integrated PID-based sliding mode observer-controller (PIDSMOC) for PEA tracking control. Experiments performed on a PEA showed that the PIDSMO can accurately estimate the PEA states and that the integrated PIDSMOC can achieve better tracking control performances as compared to the PIDSMC with α-β filter control scheme.

Simulation of PID Control Applied to Irrigation Channels

Open-channel flow usually includes many hydraulic elements to help with the regulation of water supply in terms of automatic control. On the other hand, the one-dimensional Shallow Water Equations (SWE) are widely used to model and predict the flow dynamics in this kind of configurations. In this work, the unsteady SWE are used to model the water motion and they are solved using a finite volume upwind scheme able to cope with all flow regimes. Furthermore, the regulation of hydraulic structures at channels is frequently based on the PID controller. In this work, the implementation and coupling of the channel flow simulation with hydraulic elements and PID regulation is performed.

Position control with PID regulation for a FES system: preliminary results

For people with quadriplegia at C3 and C7 levels functional electric stimulations (FES) could be a solution to make precision movements using the wrist. Closed loop control for FES systems enables to improve precision, stability and diminishes the impact of external perturbations. The goal of this work is to present a control position of the wrist articulation whenever the movement is produced by FES. In this article, a control design is developed along with the results of its first evaluation process on three voluntary individuals without neurological damage. A PID controller is used and it is adjusted experimentally for each test subject. A Constant reference for the wrist extension angle at sagittal plane and time evaluation of 10 minute was used to probe de PID. For two subjects the regulators responded reasonably with low mean errors and low standard deviations. For subject 3 the designed regulator did not succeed in stabilizing the position as from minute 6 in the second test. Preliminary studies of this work suggest that it could be possible to continue with the study of the closed loop position control with PID strategy in some people with spinal cord injuries whose movements are assisted by FES.

Energy Saving Application in Constant Pressure Water Supply System Based on SANCO - vm05 Frequency Converter

This paper analyzes the design of constant pressure water supply frequency control system based on SANCO - vm05 inverter with the built-in PID regulator and SWS water supply control. It’s replacing traditional way of water supply to eliminate the secondary pollution of water quality, improve the quality of the water supply, save energy by 20% - 40%, thus it’s proved as small investment and large gains.

PID Control Based on Kalman Filter for DC Motor

The noise signal caused by measurement and observation seriously affected the control quality in PID control of DC motor. A PID regulation technology was proposed which was based on Kalman filter. The system state was estimated by the Kalman filter so that the measurement and observation noise signal was inhibited thus resulting in the system performance improved. The designed controller was dynamically simulated in MATLAB. The results showed that the noise signal existed in the system was effectively filtered by PID regulation technology with Kalman filter so that the system performance was improved.

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.

PID and LQ Regulation of a Multirotor Attitude: Mathematical Modelling, Simulations and Experimental Results

Multirotors have been recognized to be particularly interesting for surveillance, search and rescue, imaging and more, because of their several advantages as the high maneuverability and the vertical take off and landing capability. This paper presents the experimental results of the application of a Proportional Integral Derivative control law and a Linear Quadratic Regulation technique to the attitude of a multirotor. The reader is driven through all the main steps required to reach this goal, starting from the derivation of the mathematical model and the control laws, to the simulations and the experimental tests.

The Design of AC Regulated Power Supply Based on PWM Chopping Series Compensation Technology

Area for the fast load variation, the power grid voltage fluctuations is very serious. In order to supply stable voltage for the small power user, a unipolar chopping compensation AC regulated power supply is designed based on bidirectional H PWM chopping bridge which can realize the bidirectional flow of energy when the voltage is boosted and step-down. It adopts voltage feedback control. The initial chopping duty ratio is determined by proportion regulation according to difference of the input voltage and the standard voltage; it can improve the voltage response speed. The initial duty ratio is corrected according to digital PID regulation based on the output voltage feedback, which ensures the stability of the output voltage. The STC12C5A62AD single chip is adopted for the regulated power supply that have 8 AD inputs and PWM output, it make the system structure simple. The 12.8 kHz sampling frequency and high precision voltage sampling technology ensures the precision of sampling. The 10 kHz frequency of the chopper reduces the harmonic component and it is easy to filter. Experimental results show that dynamic response speed of the regulated power supply is fast and precision of it is high. It has great practical value.

Research on Motion Control System of Clamping Thin-Walled Tube Based on PID Neural Network

As for the shortcomings of poor rigidity and strength of weak of thin-walled tube parts, a device of an adaptive PID controller which based on neural network has been proposed by regarding the thin-walled tube fixture system as the research object. The controller which integrates the characteristics of neural network and PID regulator can realize the self-tuning of PID parameters effectively and make the control system equip with the feature of fast response, small overshoot and strong robustness etc. Simulation results show that the controller can meet the system requirements commendably and it can implement the automatic chucking control of the thin-walled steel cutting process with fast and non-destructive in the experimental prototype.

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.

Fuzzy Controller of Voltage Regulator System BP Neural Network Model Design and Simulation

Voltage regulation control system is a typical position servo system, its often uses PID regulation control, the adjustment time is long, big overshoot. This research through the output signal and a given signal of the deviation and its differential data analysis, design of fuzzy controller to realize the fuzzy control of this system. Fuzzy controller of the thought and method in microcomputer realization difficulty is very great, the calculation is not easy.Consider BP network model is certain function relation, the exponential computation in microcomputer such as PLC in the corresponding instruction, BP network model is easy to through the programming realization, through the simulation BP network model control effect and the fuzzy controller control effect anastomosis.

Design on Fuzzy Controller of DC Motors Speed Control Based on DSP

Aiming at the problems of nonlinearity, time-variant parameters, and uncertainty of system mathematical model in the PID regulator of DC motor control, a fuzzy controller of DC motor speed control based on TMS320LF2407A is designed in this paper, using the fuzzy control strategy to control, and its design procedure is described. The experimental results show that the speed control system of DC motor by using DSP controller and fuzzy control algorithms has a fast response, slight overshot and good stability, and improves the control effect.

PID and Novel Approach of PI Fuzzy Logic Controllers for Active Surge in Centrifugal Compressor

The operating range of aerodynamic compressors is usually limited by a phenomenon known as surge. Active surge control has showed the ability to extend the operating range significantly. This study presents a solution to this problem based on classical PID regulator and a new PI fuzzy logic approach with three lines of protection. The fuzzy controller is designed to avoid the surge instability on a given compressor model. Simulation studies show promising results at different operating points compared to the results obtained using PID controller.

Digital Control of Bonding Force for Gold Wire Bonding Machine

In order to digitally control the bonding force of a wire bonder precisely, this paper uses a DC solenoid as a force source, and by controlling the solenoid’s current, which causes the electromagnetic force, we can control the bonding force that capillary applies. The bonding force control system in this paper is composed of PC (Personal Computer) and hypogyny MCU (Micro Controller Unit), which communicate using a RS485 interface. The digital value of a given bonding force is given by the PC to the MCU. By comparing the sampling current of the solenoid, and through PID regulation, D/A converter of the digital potentiometer and the solenoid driver circuit, the half-closed loop control system of bonding force is accomplished. Tuning of the PID parameters is accomplished with fuzzy adaptive control theory and simulated by Matlab simulink. The control system is tested by comparing the desired bonding force and the force actually applied and examming the relationship between bonding quality and bonding force. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2306

Influence of Bias Current Value on Properties of Active Magnetic Bearing

The aim of this work is to analyze the influence of bias current value on the active magnetic bearing (AMB) performance. The numerical simulation results were compared with the experimental ones. Two variants were examined. In the first one, the bias current was set to half of its maximal value. In the second case, the bias current was equal to zero. It should be noted, that in both variants of the AMB the simple PID regulator has been assumed as a controller with constant parameters. The transients have been simulated with using field-circuit method. We obtained the characteristics of the magnetic force verso the control current and rotor position. The force has been calculated using the magnetic field analysis method [1, . The transients from the computer simulation were used for determination of the AMB stability. Thus, launch of the machine should be examined against its destruction. Both, the computer simulation results and measurement ones have shown that the AMB system can be controlled by the linear regulator without any bias current. However, lack of the bias current causes higher time of the rotor settling and increases overshoot magnitude.

Simulation Model of an Electromagnetic Multi-Coil Launcher for Micro Aerial Vehicles

The paper presents a model of the 10-coil launcher, which can be used as a catapult of micro aerial vehicles (MAVs). The main advantage of such a device is the possibility of controlling its acceleration. We have also shortly described main disadvantages of pneumatic and rubber launchers and compared them to our solution which involved magnetic phenomena. The history and the classification of magnetic launchers were also mentioned. The investigated magnetic system was described in details. The system voltage equations and energetic conversions which take place during the launch were presented. With the use of finite element method we calculated the lumped parameters of the system (self-and mutual inductances). Nonlinear model was implemented in the MATLAB packet. Launch operation was divided into an acceleration and a braking phase. Thus, nine coils operated as accelerators and the last one was employed as a magnetic brake. The system was controlled by means of PID regulators which were tuned manually. Current values in the modelled coils were also limited by bang-bang controllers. In the last part of the paper we presented results of simulations and discussion about possible improvements of the model in the future.

Optimal automatic tuning of active damping PID regulators

An automatic tuning method for the PID controller in single-input-single-output control loops involving processes with conjugate complex poles is presented. The development of the method lies in the principle of the well known Magnitude Optimum criterion and considers two fundamental constraints met frequently in many industry applications; (1) the existence of a poor process model and (2) access to the output of the process and not to its states. The presentation of the method is carried out in two steps. Over the first step, the straightforward PID tuning via the Magnitude Optimum criterion in the ideal case of a known single input-single output linear process model reveals a feature of the method called ‘the preservation of the shape of the step and frequency response’ of the final closed-loop control system. This shape is characterized by specific performance in terms of overshoot (4.4%), settling and rise time of the closed-loop control system. Over the second step, the PID controller parameters are tuned automatically so that the aforementioned performance is achieved. In this case, the existence of a poor process model is adopted assuming access to its output and not to its states. For applying the method an open-loop experiment of the process is carried out which serves for (1) initializing the algorithm and (2) determining the two zeros of the proposed PID controller. The method starts with I-Lag control action to the process by tuning the integral gain. After this tuning is over, the parasitic time constant of the closed-loop system is estimated. I-Lag control is then turned into PID control and the integrator's time constant of the PID controller is tuned accordingly, so that the shape of the control loop's output exhibits the aforementioned performance. Since the tuning of the PID controller is based on the Magnitude Optimum criterion, optimal disturbance rejection is expected to be achieved at the output of the controlled process. The potential of the proposed method is justified via simulation examples for two benchmark process models met frequently in various industry applications.

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.