modeling and control of the ultracapacitorbased regenerative controller electric drives. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 58, NO. 8, pp. 3471-3484, AUGUST 2011 教授:王明賢 學生:胡育嘉 Outline 1. 2. 3. 4. 5. 6. Abstract Introduction Regenerative energy-storage and emergencypower-supply device using an ultracapacitor and DC-DC converte Conversion-System Model Control Scheme Experimental Results DECISION AND CONTROL LAB Abstract Two issues are still a great challenge in the design and application of advanced controlled electric drives, namely, recovery of the braking energy and ride-through capability of the drive system. To achieve system flexibility and better efficiency, the ultracapacitor is connected to the drive via a dc–dc converter. The converter is controlled in such a way as to fulfill the control objectives: the control of the dc-bus voltage, the ultracapacitor state of charge, and peak-power filtering. DECISION AND CONTROL LAB Abstract In this paper, we have discussed the modeling and control aspects of the regenerative controlled electric drive using the ultracapacitor as energy-storage and emergency powersupply device. The presented model and control scheme have been verified by simulation and a set of experiments on a 5.5-kW prototype. The results are presented and discussed in this paper. DECISION AND CONTROL LAB Introduction advanced controlled electric drives have been used intensively in recent years. The reason for this lies in their efficiency, flexibility, and reliability. There are, however, two important issues to be solved in order to improve the drive system efficiency and reliability, namely, 1) the recovery of the braking energy and 2) the drive-system ridethrough capability . DECISION AND CONTROL LAB Introduction Most controlled electric-drive applications, such as lifts, cranes, tooling machines, and so on, have a demand for braking at full power. As the ordinary drive converters are unidirectional converters, the braking energy is dissipated on a braking resistor or in some applications into the rotor. The energy losses in such cases can be up from 20% to 50% of the energy consumed from the mains. DECISION AND CONTROL LAB Introduction These two problems are discussed in details in this paper. The basic principle of the regenerative drive is briefly presented in Section II. Afterward, in Section III, the model of each part of the system and the model of the entire drive system are developed. At the end, in Section IV, a new control scheme is presented and discussed in details.. DECISION AND CONTROL LAB Introduction The control objective is to regulate the dc-bus voltage when the drive operates in braking mode and to maintain the ultracapacitor state of charge when the drive operates in motoring mode (MM) from the mains. Moreover, the dc-bus voltage has to be maintained at the minimum level whenever the mains supply is interrupted. The presented model and the control scheme are experimentally verified on 5.5-kW general-purpose controlled electric drive equipped with an ultracapacitor and a three-level dc–dc converter [23]. The results are presented and discussed at the end of this paper DECISION AND CONTROL LAB Regenerative energy-storage and emergency-powersupply device using an ultracapacitor and dc–dc converter A simplified circuit diagram of the system is shown in Fig. 1. The drive system consists of a standard variable-speed-drive converter (input diode rectifier, voltage dc link, and output inverter) and a parallel-connected energy-storage device. DECISION AND CONTROL LAB A. Description of the Operational Modes The drive system may operate in several different operational modes, as shown in Fig. 2. The signification of the voltages VBUSmax, VBUSmin, UC0max, UC0inM, and UC0min that are shown in Fig. 2 will be discussed briefly at the end of this section. DECISION AND CONTROL LAB A. Description of the Operational Modes 1) MM From the Mains: The drive operates in MM, and is powered from the mains. 2) Braking-Energy Storing Mode (B): The drive operates inbraking mode, and the braking energy is stored into the ultracapacitor. 3) Standby Mode (STB): The drive is in standby mode; there is no energy flow between the drive, mains, and ultracapacitor. DECISION AND CONTROL LAB A. Description of the Operational Modes 4) Motoring-Energy-Recovery Mode (MC0): The drive operates in MM, powered from the ultracapacitor. 5) Ride-Through Mode (RT): The mains supply is interrupted. The drive is powered from the ultracapacitor via the dc–dc converter. 6) Ultracapacitor Charging Mode (MM-CH): The mains supply is recovered, and the drive is supplied from the mains. DECISION AND CONTROL LAB B. Definition of the Voltage References Let us now define the voltage references VBUSmax, VBUSmin, UCOmax, UCOinM, and UCOmin. Fig. 3(a) shows the signification of the reference voltages VBUSmax and VBUSmin. OBF signifies over braking fault, and USF signifies the undersupply fault. The ultracapacitor voltage takes a value within an interval [UC0max − UC0min], as shown in Fig. 3(b). DECISION AND CONTROL LAB Conversion-system model For purposes of analysis and synthesis of the control scheme, the conversion system will be modeled using well-known small-signal techniques. For that, a model of the ultracapacitor and, thereafter, a model of the entire conversion system will be developed. DECISION AND CONTROL LAB A. Ultracapacitor Model Most of the ultracapacitor models presented in the literature consider a nonlinear (voltage-dependent) transmission line or an approximation with a finite-ladder RC network [17], as shown in Fig. 4(a). Very often, for simplicity of analysis, the transmission-line effect is neglected, and a first-order nonlinear model is used [17]. Fig. 4(b) shows a simplified model of the ultracapacitor that we use in the following analysis. DECISION AND CONTROL LAB A. Ultracapacitor Model DECISION AND CONTROL LAB A. Ultracapacitor Model The total capacitance is the voltage-controlled capacitance CC0(uC) = C0 + kCuC where C0 is the initial linear capacitance that represents the electrostatic capacitance of the capacitor and kC is a coefficient which represents the effects of the diffused layer of a supercapacitor. DECISION AND CONTROL LAB B. Entire System Model Fig. 5 shows a large signal (nonlinear) model of the entire power-conversion system. The input rectifier is modeled by a voltage source vREC, diode DR, and filter inductor LBUS. It is considered that the drive operates in braking mode or MM from the ultracapacitor. In that case, the dc-bus voltage is greater that the mains phase-to-phase peak voltage, and therefore, the input rectifier diodes are blocked. Thus, the input voltage source vREC, diode DR, and inductor LBUS can be drooped from the equivalent circuit. This is indicated by the dashed lines in Fig. 5(a). DECISION AND CONTROL LAB B. Entire System Model The dc-bus load, in this case, a controlled electric drive, is modeled as a constant power pLOAD. Electric drives controlled by pulsewidth modulated (PWM) inverters behave as a constant power load. The inverter output voltage is controlled to be constant. DECISION AND CONTROL LAB B. Entire System Model The bidirectional dc–dc converter is modeled as a loss-free power converter with one input (vBUS) and one output (uC0). The input is modeled by power source pC0 that is connected on the dc-bus side, while the output is modeled by a current source iC0 that is connected on the ultracapacitor side. DECISION AND CONTROL LAB B. Entire System Model If we consider a dc–dc converter with an inductor LC0 loaded by current iC0, the input–output instantaneous power equation is However, if the dc–dc converter switching frequency is much greater than the bandwidth of the dc-bus voltage control loop, the effect of the inductance LC0 can be neglected DECISION AND CONTROL LAB B. Entire System Model Thus, the input instantaneous power is equal to the output instantaneous power The system of Fig. 5 can be described by following set of nonlinear equations: DECISION AND CONTROL LAB B. Entire System Model Linearization of the system (3) yields DECISION AND CONTROL LAB B. Entire System Model Applying Laplace transformation on (4) yields the transfer function in matrix form The ultracapacitor current to the voltage transfer function is DECISION AND CONTROL LAB B. Entire System Model The control and disturbance to the dc-bus voltage transfer functions When the controlled electric drive operates in steady state, being supplied from the ultracapacitor, the load power and the ultracapacitor power are balanced, UC0IC0 + PLOAD = 0. DECISION AND CONTROL LAB B. Entire System Model Substituting this condition into (6) yields If the ultracapacitor can be considered as an infinite capacitance in comparison with the dc-bus capacitor CBUS, as it is the case in most applications, the transfer function GBUS could be simplified as DECISION AND CONTROL LAB B. Entire System Model The transfer function could be further simplified considering that the ultracapacitor voltage is high enough and, therefore, the voltage droop on the series resistance can be neglected UC0 IC0 RC0. The dc-bus voltage transfer function is now DECISION AND CONTROL LAB Control Scheme - A. Control Objectives The first control objective is to asymptotically regulate the dc-bus voltage to the desired reference whenever it is possible. The second control objective is to regulate the ultracapacitor state of charge, depending on the application specification. DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control Fig. 6 shows the control scheme that is proposed for the presented power-conversion system. One can distinguish an inner current controller GiC0 and three outer controllers. The inner controller regulates the ultracapacitor current iC0. DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control The control algorithm is described considering the three operating modes that are important from the control perspective: 1) the mains MM; 2) braking and motoring from the ultracapacitor ; and 3) ride-through mode. DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control 1) Mains MM: The dc-bus voltage is vBUS about 1.41VIN, determined by the mains voltage, where VIN is the mains phaseto- phase rms voltage. As shown in Fig. 3(a), the dcbus voltage is lower than the reference VBUSmax and greater than the reference VBUSmin. Hence, the dc-bus voltage controller GvBUSmax is saturated on UC0inM, while the controller GvBUSmin is saturated on zero. The ultracapacitor voltage reference is therefore DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control 2) Drive Braking Mode and MM From the Ultracapacitor: The drive load switches from positive to negative (from motor mode to generator mode), and therefore, the dc-bus capacitor CBUS is charged. The dc-bus voltage vBUS increases until it reaches the reference VBUSmax. When the drive operates in MM, the ultracapacitor has to be discharged on the intermediate value UC0inM in order to be ready for the next braking phase. The dc-bus voltage controller GvBUSmax regulates the dc-bus voltage to VBUSmax. The controller GvBUSmax output decreases, and therefore, the ultracapacitor voltage reference decreases toward UC0inM DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control The ultracapacitor is being discharged, supplying the drive. Once the ultracapacitor voltage reaches the intermediate value UC0inM, the dc-bus voltage controller GvBUSmax will be saturated at the reference UC0inM. The ultracapacitor voltage is regulated at UC0inM, and therefore, the ultracapacitor current falls to zero. Discharging of the ultracapacitor is finished. The dc-bus capacitor is being discharged, and therefore, the dc-bus voltage decreases until the drive input rectifier starts to conduct. The drive is supplied again from the mains. DECISION AND CONTROL LAB B. Basic Principle of the Proposed Control 3) Ride-Through Mode: When the mains is interrupted, the dc-bus voltage starts to decrease until it reaches the minimum reference VBUSmin. The controller GvBUSmin goes out of saturation, and the output u2(REF) starts to decrease toward ΔUC0min = UC0min − UC0inM. Since the controller GvBUSmax is saturated on UC0inM, the ultracapacitor reference voltage starts to decrease below UC0inM toward UC0min DECISION AND CONTROL LAB C. Controllers Synthesis 1) Ultracapacitor Voltage Controller: Fig. 7 shows the ultracapacitor voltage control loop, where GC0 is the ultracapacitor current to voltage transfer function (6a) and GuC0 is the controller. DECISION AND CONTROL LAB C. Controllers Synthesis From Fig. 7, one can see the ultracapacitor voltage closeloop transfer function. The ultracapacitor voltage controller is the classical proportional–integral (PI) controller DECISION AND CONTROL LAB C. Controllers Synthesis The characteristic equation of (13) is ζC0 is the damping factor and ωC0 is the close-loop bandwidth. DECISION AND CONTROL LAB C. Controllers Synthesis The proportional and integral gain of the controller can be computed from (6a) and (15) using the binomial criterion (ζC0 = 1) Determine the ultracapacitor voltage error as DECISION AND CONTROL LAB C. Controllers Synthesis If the ultracapacitor is charged/discharged with constant current with a magnitude iC0max and the ultracapacitor charge/discharge time is T0, one can compute the ultracapacitor voltage error at the end of the charge/discharge phase as DECISION AND CONTROL LAB C. Controllers Synthesis From this short analysis, one can conclude that the worst case is T0 → 0, which gives maximum voltage error The controller proportional gain kPC0 is computed from (19) as DECISION AND CONTROL LAB C. Controllers Synthesis Finally, substituting (20) into (16) yields the controller integral gain (21) that fulfills the binomial criterion (ζC0 = 1). Equation (21) DECISION AND CONTROL LAB C. Controllers Synthesis 2) DC-Bus Voltage Controller(s): The dc-bus voltage closeloop is shown in Fig. 9. DECISION AND CONTROL LAB C. Controllers Synthesis The ultracapacitor voltage control loop appears in the dcbus voltage control loop as the transfer function. Because of the limited current capability of the dc–dc converter, the bandwidth of the ultracapacitor voltage controller is much lower than that of the dc-bus voltage controller. Therefore, the integral gain kIC0 is low, and (23) can be further simplified as DECISION AND CONTROL LAB C. Controllers Synthesis This simplification can be done straightforwardly from (22) if we take into account that the dc-bus voltage controller is much faster than the ultracapacitor voltage controller. Therefore, one can assume that the ultracapacitor voltage reference uC0(REF) is a unity step function. Applying the initial-value theorem [35] on (22) yields DECISION AND CONTROL LAB C. Controllers Synthesis The dc-bus voltage closed loop transfer function is defined by(26) . The dc-bus voltage controller is the classical PI controller DECISION AND CONTROL LAB C. Controllers Synthesis The characteristic equation of the closed-loop transfer function (26) is given by the following: DECISION AND CONTROL LAB C. Controllers Synthesis The proportional and integral gains are computed using the Butterworth criteria DECISION AND CONTROL LAB C. Controllers Synthesis The controllers’ gains (30) depend on the ultracapacitor voltage, which is, in general case, not constant over time. It takes values in the range [UC0max − UC0min]. The dc-bus voltage controller has to be designed to provide sufficient damping in the worst case ultracapacitor voltage UC0. To determine the worst case, one can draw the close-loop root locus versus the ultracapacitor voltage. The root locus is shown in Fig. 10. DECISION AND CONTROL LAB C. Controllers Synthesis The gains of the dc-bus voltage controllers can be computed from (30), taking the dc-bus voltage and the ultracapacitor voltage reference from Fig. 3 DECISION AND CONTROL LAB D. Simulation The proposed control scheme was verified by Matlab/Simulink simulation. The converter model was implemented asa full nonlinear model (7a). The current controller was simulated as a first-order low-pass filter with time constant TiC0 = 300 μs. The ultracapacitor and the dcbus voltage controllers were classical PI controllers with coefficients calculated from (20), (21), and (30). Table I summarizes the control-system parameters. DECISION AND CONTROL LAB D. Simulation DECISION AND CONTROL LAB V. Experiment resuts DECISION AND CONTROL LAB V. Experiment resuts DECISION AND CONTROL LAB V. 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