For closed-loop controlled DC-AC inverter system, the performance is highly
influenced by load variations and online current measurement. Any variation in the
load will introduce unwanted periodic error at the inverter output voltage. In
addition, when the current sensor is in faulty condition, the current measurement
will be imprecise and the designed feedback control law will be ineffective. In this
paper, a sensorless continuous sliding mode control (SMC) scheme has been
proposed to address these issues. The chattering effect due to the discontinuous
switching nature of SMC has been attenuated by designing a novel boundary-based
saturation function where the selection of the thickness of boundary is dependent
to the PWM signal generation of the inverter. In order to remove the dependency
on the current sensor, a particle swarm optimization(PSO) based modified observer
is proposed to estimate the inductor current in which the observer gains are
optimized using PSO by reducing the estimation errors cost function. The proposed
dynamic smooth SMC algorithm has been simulated in MATLAB Simulink
environment for 0.2-kVA DC-AC inverter and the results exhibit rapid dynamic
response with a steady-state error of 0.4V peak-to-peak voltage under linear and
nonlinear load perturbations. The total harmonic distortion (THD) is also reduced
to 0.20% and 1.14% for linear and non-linear loads, respectively.

제 1편 : SIMULINK 기본편
1.1 SIMULINK의 시작 1
블록의 연결 5
블록 파라미터의 설정 7
시뮬레이션 파라미터 (Configuration Parameters)의 설정 8
시뮬레이션의 수행 9
블록 파라미터의 표시 9
복수 데이터의 표시 11
2.2 동적 시뮬레이션 13
이차 미분방정식 17
선형 상태변수 모델 23
DC 모터의 시뮬레이션 24
함수 블록의 사용 29
차분방정식(difference equation)의 모델링 34
Subsystem(부시스템)의 구성 37
제 2편 : 연구논문
Continuous dynamic sliding mode control strategy of PWM based
voltage source inverter under load variations
1. Introduction 41
2. Inverter modeling 43
3. Sliding mode controller design 45
4. Stability analysis 48
5. Observer gain optimization using PSO 49
6. Simulation results and discussion 51
7. Conclusions 57
8. References 59