Voltage-based maximum power point tracking control of PV system

Photovoltaic (PV) generators exhibit nonlinear v-i characteristics and maximum power (MP) points that vary with solar insulation. An intermediate converter can therefore increase efficiency by matching the PV system to the load and by operating the solar cell arrays (SCAs) at their maximum power point. An MP point tracking algorithm is developed using only SCA voltage information thus leading to current sensorless tracking control. The inadequacy of a boost converter for array voltage based MP point control is experimentally verified and an improved converter system is proposed. The proposed converter system results in low ripple content, which improves the array performance and hence a lower value of capacitance is sufficient on the solar array side. Simplified mathematical expressions for a PV source are derived. A signal flow graph is employed for modeling the converter system. Current sensorless peak power tracking effectiveness is demonstrated through simulation results. Experimental results are presented to validate the proposed method     

Power tracking for nonlinear PV sources with coupled inductor SEPIC converter

The photovoltaic (PV) generator exhibits a nonlinear i-v characteristic and its maximum power (MP) point varies with solar insolation. In this paper, a V2-based MP point tracking (MPPT) scheme is developed using a buck-boost transformation topology. Although several buck-boost transformation topologies are available we have considered here a coupled inductor SEPIC converter for experimentation. To achieve almost ripple-free array current we have used ripple steering phenomena with the help of integrated inductor. This integrated inductor not only reduces the magnetic core requirements but also improves converter performance. Mathematical models are formulated and tracking algorithm is evolved. A combined PV system simulation model is developed in the SIMULINK. For a given solar insolation, the tracking algorithm changes the duty ratio of the converter such that the solar cell array (SCA) voltage equals the voltage corresponding to the MP point. This is done by the tracking algorithm, which mainly computes the power proportional to square of terminal voltage and changes the duty ratio of the converter so that this power is maximum. The proposed algorithm is implemented in real-time with the help of Analog Device ADMC-401 DSP evaluation module. The tracking program is developed to perform experimental investigations using analog-to-digital converter (ADC) interrupt. Using this processor we are able to track the MP within 200 ms. The proposed peak power tracking effectiveness is demonstrated through simulation and experimental results.     

Single-phase grid-connected PV system using three-arm rectifier-inverter

A grid-connected photovoltaic (PV) power supply system with on-line voltage regulation capability is presented. It employs the three-arm rectifier-inverter topology with PV modules connected directly on the dc-link. The common-arm is with line-frequency switching and synchronous to the input voltage, aiming for a lower switching loss and decoupling the control of rectifier and inverter portions. As a result, the rectifier and inverter portions can be controlled independently with the rectifier-arm and inverter-arm, respectively. For maximum power point tracking (MPFF) of the PV modules and balancing the power among utility, PV, and the load, a variable dc-link voltage is adopted and controlled by the rectifier-arm based on the MPPT control algorithm. The inverter-arm then regulates the load voltage with good regulation and low distortion. Due to large variation of the dc-link voltage, a feedforward plus feedback control technique with variable gain is developed to keep constant bandwidth of the current loop at any operation condition. Therefore, the performance of the rectifier and inverter portions can be ensured. A system containing a 2 kVA converter and a 1.2 kW PV module is set up, and some experimental results are provided for demonstrating the effectiveness of the proposed method.     

基于TS模型的模糊神经网络光伏MPPT控制

为了克服传统最大功率点跟踪(MPPT)方法的一些缺点,使光伏系统更加快速准确地工作在最大功率输出点,提出了基于模糊控制和神经网络控制相结合的自适应控制方法。该方法充分利用模糊神经网络处理非线性问题的优点,通过模糊控制来改变步长,利用神经网络的自学习能力来快速达到平衡,使光伏MPPT在跟踪速度和稳定性之间达到一个较优的平衡。仿真和试验结果表明,基于模糊神经网络自适应控制的MPPT方法具有较强的鲁棒性和自适应能力。     

基于预测电流控制的光伏并网系统最大功率点跟踪算法

针对光伏发电的突变性及昼发夜停特性提出一种新型的基于预测电流控制的光伏并网系统最大功率点跟踪(MPPT)算法。根据实际情况考虑光伏阵列的非线性特性,最大功率点周围光伏电压的振荡及逆变器、滤波器的设计等。为了确保系统采用控制算法的稳定性,MPPT的设计应运而生,在此基础上通过改进算法从光伏系统的电压与电流预测基准电流进而控制光伏并网系统。通过与传统的波动相关控制方法对比给出了仿真结果。仿真结果表明:在光照发生突变时,与传统的波动相关控制法相比,提出的改进算法的跟踪速度较之提升9.3%,并能够准确跟踪光伏并网系统最大功率点,且性能稳定可靠。     

火电辅机变频器低压穿越直流电压补偿及其控制

针对火电辅机变频器因厂用电压跌落而触发闭锁,造成发电机组停机的问题,设计了基于变频器直流母线电压补偿的辅助穿越装置。辅机变频器采用直接转矩控制,低压穿越装置主电路采用三重交错并联升压变换器结构,在电压跌落期间维持变频器直流母线电压稳定,同时减小输出电流高频纹波。考虑到并联模块参数差异造成的均流问题,提出在传统电压电流双闭环控制的电压外环加入均流环的解决方法,消除环流,使开关管电流应力更为均衡。由于控制系统具有非线性、强耦合的特点,传统PI控制器存在局限性,所以利用模糊控制算法优化PI控制器参数整定,改善其性能。最后用仿真验证了所提方法的有效性。     

MPPT of photovoltaic systems using extremum - seeking control

A stability analysis for a maximum power point tracking (MPPT) scheme based on extremum-seeking control is developed for a photovoltaic (PV) array supplying a dc-to-dc switching converter. The global stability of the extremum-seeking algorithm is demonstrated by means of Lyapunov's approach. Subsequently, the algorithm is applied to an MPPT system based on the "perturb and observe" method. The steady-state behavior of the PV system with MPPT control is characterized by a stable oscillation around the maximum power point. The tracking algorithm leads the array coordinates to the maximum power point by increasing or decreasing linearly with time the array voltage. Off-line measurements are not required by the control law, which is implemented by means of an analog multiplier, standard operational amplifiers, a flip-flop circuit and a pulsewidth modulator. The effectiveness of the proposed MPPT scheme is demonstrated experimentally under different operating conditions.     

基于模糊神经网络的纯电动车永磁同步电机矢量控制

纯电动车控制系统对电机控制性能要求较高。提供了一种基于模糊神经网络的永磁同步电机矢量控制方案。以模糊神经网络控制器作为电流调节器,并在速度环引入模糊控制器,将其输出作为电流环的限幅,达到限速的目的。仿真和试验结果表明:对于电动车运行的复杂情况,该方法具有良好的转矩跟踪和电机限速性能。     

基于改进粒子群优化模糊控制的MPPT算法研究

在光照强度和温度变化时,常规的最大功率点跟踪(MPPT)算法难以快速准确地跟踪光伏系统最大功率点。针对此问题,设计了一种改进粒子群优化算法(PSO)的模糊控制器。首先,依据常规MPPT特性,设计了一种带调整因子的模糊控制算法以快速收敛到最大功率点；然后,采用参数自适应PSO对设计的模糊控制器调整因子进行动态优化。仿真结果表明:所设计的参数自适应PSO优化模糊控制器能快速准确地跟踪最大功率点,保证了MPPT的动态响应速度和稳态精度,提高了光伏系统的工作效率。     

基于模糊补偿神经网络辨识器的发动机转速控制系统

提出了一种带模糊补偿的神经网络辨识器,并应用在某型涡扇发动机转速控制系统中。一个动态神经网络用于被控装置的在线辨识,然后根据被控装置的输出和参考模型的响应迭代出控制信号,具有4条简单规则的模糊逻辑块用于提高整个系统的闭环特性。试验结果显示,对比传统的机械-液压式控制器和模拟式电子控制器,提出的控制策略具有更好的瞬变特性及抗干扰特性,同时提高了系统的过渡过程品质,保证了航空发动机对高性能指标和高控制精度的要求。      

RFNN control for PMLSM drive via backstepping technique

A robust fuzzy neural network (RFNN) control system is proposed in this study to control the position of the mover of a permanent magnet linear synchronous motor (PMLSM) drive system to track periodic reference trajectories. First, an ideal feedback linearization control law is designed based on the backstepping technique. Then, a fuzzy neural network (FNN) controller is designed to be the main tracking controller of the proposed RFNN control system to mimic an ideal feedback linearization control law, and a robust controller is proposed to confront the shortcoming of the FNN controller. Moreover, to relax the requirement for the bound of uncertainty term, which comprises a minimum approximation error, optimal parameter vectors and higher order terms in Taylor series, an adaptive bound estimation is investigated where a simple adaptive algorithm is utilized to estimate the bound of uncertainty. Furthermore, the simulated and experimental results due to periodic reference trajectories demonstrate that the dynamic behaviors of the proposed control systems are robust with regard to uncertainties.     

基于小波神经网络PID的永磁同步电机转速控制

提出了基于小波神经网络PID的永磁同步电机(PMSM)转速控制策略。根据系统运行参数的变化,采用三层前馈式人工神经网络,基于梯度下降纠正误差法在线训练实时更新PID参数值。采用小波神经网络和增量式PID共同构成转速环控制器。建立PMSM数学模型,设计PMSM速度环控制器,构建S函数,对控制算法进行仿真试验,验证了该控制算法的先进性。试验结果表明,所提控制策略比传统PID转速控制具有更好的动态性能和抗干扰能力。     

高精度液压仿真转台鲁棒控制

 针对液压仿真转台具有时变不确定性、复杂外干扰等特点和高精度控制性能要求，提出了一种鲁棒复合控制结构，该结构由鲁棒内回路补偿器、外回路反馈控制器和输入信号前馈补偿器三部分组成。其中，鲁棒内回路补偿器用来抑制外干扰和时变不确定性的影响，外回路反馈控制器的作用是保证闭环系统的整体性能，输入信号前馈补偿器实现对系统动态时滞的补偿，以保证对参考信号的精确跟踪。以某型液压仿真转台内环为例，首先根据所提出控制策略的基本思想，给出了控制系统的具体设计过程，然后，进行了阶跃响应、低速跟踪和正弦响应试验。试验结果表明，所提出的鲁棒控制策略是有效的和可行的。     

Novel single-phase AC/DC converter with two PWM control schemes

A novel single-phase AC/DC converter with two pulsewidth modulation (PWM) schemes is proposed to draw a sinusoidal line current with nearly unity power factor, achieve balanced neutral point voltage and regulate the DC bus voltage. With the aid of neutral point clamped scheme, a three-level voltage pattern is generated on the AC side of the proposed rectifier. To track the tine current command derived from a voltage controller and a phase-locked loop circuit, a hysteresis current control scheme is used in the inner loop control. A capacitor voltage compensator is employed to achieve the balanced neutral point voltage. To investigate the effectiveness of the proposed control scheme, the simulation and experimental results based on a laboratory prototype circuit are performed.     

Power factor correction circuits with robust current control technique

A dynamically robust current control method to synthesize a sinusoidal input current for AC-to-DC converters with boost type topology is presented. Under this control strategy, the inductor current and the diode current of the boost converter are fed back and combined in a special way which makes the input current of the AC-to-DC converter stable and robust. The input current is solely determined by the reference current. When the reference current signal is derived from the sinusoidal input voltage, the input current is sinusoidal and in phase with the input voltage. Theoretical analysis is first provided. Small signal analysis shows that the current loop is inherently stable and has a fast dynamic response. Large signal analysis reveals that the control system is not affected by large disturbances in supply voltage or output load. Computer simulations have been carried out and experimental prototype models have been built to verify the analysis and demonstrate the feasibility of the control strategy. A power factor of 0.998 and a total harmonic distortion (THD) of 3.18% are measured.     

VTOL Aircraft Control Output Tracking Sensitivity Design

A method is presented for reducing trajectory sensitivity and achieving robust asymptotic tracking for linear feedback systems when there are parameter perturbations and disturbance inputs. The controller consists of a servocompensator containing the modes of the reference signals and disturbance inputs, a stabilizing feedback loop, and a feedforward compensator. Application of the method to the design of a vertical takeoff and landing (VTOL) aircraft flight control system is discussed. The use of a precompensator allows performance maneuvers such that the aircraft tracks desired trajectories and the feedforward and feedback signals aid in reducing the trajectory sensitivity to variations of parameters due to change in airspeed and to wind gust. Simulation results are presented to show the robust tracking, disturbance rejection, and sensitivity reduction capabilities of the flight control system.     

无人机机动轨迹跟踪系统设计

对无人机机动飞行轨迹跟踪系统的内环姿态控制律和外环轨迹跟踪控制律两部分分别进行了设计。利用非线性动态逆方法设计了内环姿态控制律。外环轨迹跟踪控制律采用逆动力学前馈加模糊反馈的控制结构,提高系统对飞行条件及期望轨迹剧烈变化时的跟踪精度。仿真结果表明,所设计的系统能够控制无人机精确跟踪指定的机动轨迹,且相对于固定增益系统具有更好的鲁棒性。     

Full control of a PWM DC-AC converter for AC voltage regulation

The design and implement action of a DSP-based fully digital-controlled single-phase pulsewidth modulated (PWM) dc-ac converter for ac voltage regulation is described. The proposed multiloop digital controller (MDC) consists of a current controller, a voltage controller, and a feedforward controller. This MDC was realized using a single-chip digital signal processor (DSP). The PWM gating signals are determined at every sampling instant by the proposed multiloop digital control scheme using a set of detected feedback signals. A software current control; scheme has been developed to achieve fast current control of the PWM inverter and decouple the inductor of the output filter. Experimental results have been given to verify the proposed digital control scheme. The constructed DSP-based PWM dc-ac converter system can achieve fast dynamic response and with low total harmonic distortion (THD) for rectifier type of loads     

基于RBFN的伺服系统前馈控制器设计和仿真研究

 以转台伺服系统为控制对象, 采用RBF 神经网络前馈控制和比例反馈相结合的方法, 并利用单神经元对系统模型进行在线辨识, 为前馈控制器提供Jacobian 参数。将该方法运用在速度环控制中, 仿真结果表明, 采用了该方法的控制系统, 具有较高的跟踪精度和动态性能。     

航空机电作动器神经网络快速终端滑模控制

目前机电作动器由于具有干净、维护方便等优点,越来越受到航空业的青睐。航空机电作动器的特点是控制精度、稳定性和响应速度要求高,针对以上特点,提出了一种基于多层神经网络的快速终端滑模控制策略。为了提高航空作动器响应速度和跟踪精度,设计了快速终端滑模控制策略,不仅可以加快系统响应而且可以在无扰动情况下实现系统的有限时间稳定。针对系统参数不确定性和外部扰动,设计多层神经网络进行估计并通过前馈方法加以补偿。针对神经网络的重构误差,设计了非线性鲁棒项加以克服。利用李亚普洛夫稳定性定理证明了控制系统在有扰动情况下可以实现有界稳定。实验结果表明：所设计的控制器具有良好的参数自适应和抗干扰能力,同时具有更高的跟踪精度和更快的响应速度。