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This is some awesome robot code
Dependencies: mbed-rtos mbed QEI
Fork of ICRSEurobot13 by
Processes/Kalman/Kalman.cpp
- Committer:
- madcowswe
- Date:
- 2013-04-09
- Revision:
- 21:167dacfe0b14
- Parent:
- 20:70d651156779
- Child:
- 22:6e3218cf75f8
File content as of revision 21:167dacfe0b14:
//*************************************************************************************** //Kalman Filter implementation //*************************************************************************************** #include "Kalman.h" #include "rtos.h" #include "math.h" #include "supportfuncs.h" #include "Encoder.h" #include "globals.h" #include "Printing.h" #include "tvmet/Matrix.h" using namespace tvmet; namespace Kalman { Ticker predictticker; DigitalOut OLED4(LED4); DigitalOut OLED1(LED1); //State variables Matrix<float, 3, 1> X; Matrix<float, 3, 3> P; Mutex statelock; float RawReadings[maxmeasure+1]; float IRpahseOffset; bool Kalman_inited = 0; struct measurmentdata { measurement_t mtype; float value; float variance; }; Mail <measurmentdata, 16> measureMQ; Thread* predict_thread_ptr = NULL; //Note: this init function assumes that the robot faces east, theta=0, in the +x direction void KalmanInit() { printf("kalmaninit \r\n"); //WARNING: HARDCODED! //solve for our position (assume perfect bias) const float d = beaconpos[2].y - beaconpos[1].y; const float i = beaconpos[2].y - beaconpos[0].y; const float j = beaconpos[2].x - beaconpos[0].x; float r1 = RawReadings[SONAR2]; float r2 = RawReadings[SONAR1]; float r3 = RawReadings[SONAR0]; printf("ranges: 0: %0.4f, 1: %0.4f, 2: %0.4f \r\n", r1, r2, r3); float y_coor = (r1*r1-r2*r2+d*d)/(2*d); float x_coor = (r1*r1-r3*r3+i*i+j*j)/(2*j) - (i*y_coor)/j; //coordinate system hack (for now) x_coor = beaconpos[2].x - x_coor; y_coor = beaconpos[2].y - y_coor; printf("solved pos from sonar: %f, %f \r\n", x_coor, y_coor); //IR float IRMeasuresloc[3]; IRMeasuresloc[0] = RawReadings[IR0]; IRMeasuresloc[1] = RawReadings[IR1]; IRMeasuresloc[2] = RawReadings[IR2]; printf("IR 0: %0.4f, 1: %0.4f, 2: %0.4f \r\n", IRMeasuresloc[0]*180/PI, IRMeasuresloc[1]*180/PI, IRMeasuresloc[2]*180/PI); float IR_Offsets[3]; float fromb0offset = 0; for (int i = 0; i < 3; i++) { //Compute IR offset float angle_est = atan2(beaconpos[i].y - y_coor,beaconpos[i].x - x_coor); //printf("Angle %d : %f \n\r",i,angle_est*180/PI ); IR_Offsets[i] = constrainAngle(IRMeasuresloc[i] - angle_est); fromb0offset += constrainAngle(IR_Offsets[i] - IR_Offsets[0]); } IRpahseOffset = constrainAngle(IR_Offsets[0] + fromb0offset/3); //debug printf("Offsets IR: %0.4f\r\n",IRpahseOffset*180/PI); statelock.lock(); X(0,0) = x_coor; X(1,0) = y_coor; X(2,0) = 0; P = 0.02*0.02, 0, 0, 0, 0.02*0.02, 0, 0, 0, 0.04; statelock.unlock(); Kalman_inited = 1; } State getState(){ statelock.lock(); State state = {X(0,0), X(1,0), X(2,0)}; statelock.unlock(); return state; } void predictloop(void const*) { OLED4 = !Printing::registerID(0, 3); OLED4 = !Printing::registerID(1, 4); float lastleft = 0; float lastright = 0; while (1) { Thread::signal_wait(0x1); OLED1 = !OLED1; float leftenc = left_encoder.getTicks() * ENCODER_M_PER_TICK; float rightenc = right_encoder.getTicks() * ENCODER_M_PER_TICK; float dleft = leftenc-lastleft; float dright = rightenc-lastright; lastleft = leftenc; lastright = rightenc; //The below calculation are in body frame (where +x is forward) float dxp, dyp,d,r; float thetap = (dright - dleft) / ENCODER_WHEELBASE; if (abs(thetap) < 0.01f) { //if the rotation through the integration step is small, approximate with a straight line to avoid numerical error d = (dright + dleft)/2.0f; dxp = d*cos(thetap/2.0f); dyp = d*sin(thetap/2.0f); } else { //calculate circle arc //float r = (right + left) / (4.0f * PI * thetap); r = (dright + dleft) / (2.0f*thetap); dxp = r*sin(thetap); dyp = r - r*cos(thetap); } statelock.lock(); float tempX2 = X(2,0); //rotating to cartesian frame and updating state X(0,0) += dxp * cos(X(2,0)) - dyp * sin(X(2,0)); X(1,0) += dxp * sin(X(2,0)) + dyp * cos(X(2,0)); X(2,0) = constrainAngle(X(2,0) + thetap); //Linearising F around X float avgX2 = (X(2,0) + tempX2)/2.0f; Matrix<float, 3, 3> F; F = 1, 0, (dxp * -sin(avgX2) - dyp * cos(avgX2)), 0, 1, (dxp * cos(avgX2) - dyp * sin(avgX2)), 0, 0, 1; //Generating forward and rotational variance float varfwd = fwdvarperunit * abs(dright + dleft) / 2.0f; float varang = varperang * abs(thetap); float varxydt = xyvarpertime * KALMAN_PREDICT_PERIOD; float varangdt = angvarpertime * KALMAN_PREDICT_PERIOD; //Rotating into cartesian frame Matrix<float, 2, 2> Qsub,Qsubrot,Qrot; Qsub = varfwd + varxydt, 0, 0, varxydt; Qrot = Rotmatrix(X(2,0)); Qsubrot = Qrot * Qsub * trans(Qrot); //Generate Q Matrix<float, 3, 3> Q;//(Qsubrot); Q = Qsubrot(0,0), Qsubrot(0,1), 0, Qsubrot(1,0), Qsubrot(1,1), 0, 0, 0, varang + varangdt; P = F * P * trans(F) + Q; //printf("x: %f, y: %f, t: %f\r\n", X(0,0), X(1,0), X(2,0)); //Update Printing float statecpy[] = {X(0,0), X(1,0), X(2,0)}; Printing::updateval(0, statecpy, 3); float Pcpy[] = {P(0,0), P(0,1), P(1,0), P(1,1)}; Printing::updateval(1, Pcpy, 4); statelock.unlock(); } } void predict_event_setter(){ if(predict_thread_ptr) predict_thread_ptr->signal_set(0x1); else OLED4 = 1; } void start_predict_ticker(Thread* predict_thread_ptr_in){ predict_thread_ptr = predict_thread_ptr_in; predictticker.attach(predict_event_setter, KALMAN_PREDICT_PERIOD); } void runupdate(measurement_t type, float value, float variance) { if (!Kalman_inited) { RawReadings[type] = value; } else { if (type >= IR0 && type <= IR2) RawReadings[type] = value - IRpahseOffset; else RawReadings[type] = value; measurmentdata* measured = (measurmentdata*)measureMQ.alloc(); if (measured) { measured->mtype = type; measured->value = value; measured->variance = variance; osStatus putret = measureMQ.put(measured); //if (putret) //OLED4 = 1; // printf("putting in MQ error code %#x\r\n", putret); } else { //OLED4 = 1; //printf("MQalloc returned NULL ptr\r\n"); } } } /* void Kalman::updateloop(void const*) { //sonar Y chanels ui.regid(2, 1); ui.regid(3, 1); ui.regid(4, 1); //IR Y chanels ui.regid(5, 1); ui.regid(6, 1); ui.regid(7, 1); measurement_t type; float value,variance,rbx,rby,expecdist,Y; float dhdx,dhdy; bool aborton2stddev = false; Matrix<float, 1, 3> H; float S; Matrix<float, 3, 3> I3( identity< Matrix<float, 3, 3> >() ); while (1) { OLED2 = !OLED2; osEvent evt = measureMQ.get(); if (evt.status == osEventMail) { measurmentdata &measured = *(measurmentdata*)evt.value.p; type = measured.mtype; //Note, may support more measurment types than sonar in the future! value = measured.value; variance = measured.variance; // don't forget to free the memory measureMQ.free(&measured); if (type <= maxmeasure) { if (type <= SONAR3) { InitLock.lock(); float dist = value / 1000.0f - Sonar_Offset; //converting to m from mm,subtract the offset InitLock.unlock(); int sonarid = type; aborton2stddev = true; statelock.lock(); //update the current sonar readings SonarMeasures[sonarid] = dist; rbx = X(0) - beaconpos[sonarid].x/1000.0f; rby = X(1) - beaconpos[sonarid].y/1000.0f; expecdist = hypot(rbx, rby);//sqrt(rbx*rbx + rby*rby); Y = dist - expecdist; //send to ui ui.updateval(sonarid+2, Y); dhdx = rbx / expecdist; dhdy = rby / expecdist; H = dhdx, dhdy, 0; } else if (type <= IR3) { aborton2stddev = false; int IRidx = type-3; // subtract the IR offset InitLock.lock(); value -= IR_Offset; InitLock.unlock(); statelock.lock(); IRMeasures[IRidx] = value; rbx = X(0) - beaconpos[IRidx].x/1000.0f; rby = X(1) - beaconpos[IRidx].y/1000.0f; float expecang = atan2(-rby, -rbx) - X(2); Y = rectifyAng(value - expecang); //send to ui ui.updateval(IRidx + 5, Y); float dstsq = rbx*rbx + rby*rby; H = -rby/dstsq, rbx/dstsq, -1; } Matrix<float, 3, 1> PH (P * trans(H)); S = (H * PH)(0,0) + variance; if (aborton2stddev && Y*Y > 4 * S) { statelock.unlock(); continue; } Matrix<float, 3, 1> K (PH * (1/S)); //Updating state X += col(K, 0) * Y; X(2) = rectifyAng(X(2)); P = (I3 - K * H) * P; statelock.unlock(); } } else { OLED4 = 1; //printf("ERROR: in updateloop, code %#x", evt); } } } */ } //Kalman Namespace